The American Psychiatric Association (APA) has updated its Privacy Policy and Terms of Use, including with new information specifically addressed to individuals in the European Economic Area. As described in the Privacy Policy and Terms of Use, this website utilizes cookies, including for the purpose of offering an optimal online experience and services tailored to your preferences.

Please read the entire Privacy Policy and Terms of Use. By closing this message, browsing this website, continuing the navigation, or otherwise continuing to use the APA's websites, you confirm that you understand and accept the terms of the Privacy Policy and Terms of Use, including the utilization of cookies.

×
Reviews and OverviewsFull Access

Early Detection and Preventive Intervention in Schizophrenia: From Fantasy to Reality

Abstract

Scientific progress in understanding human disease can be measured by the effectiveness of its treatment. Antipsychotic drugs have been proven to alleviate acute psychotic symptoms and prevent their recurrence in schizophrenia, but the outcomes of most patients historically have been suboptimal. However, a series of findings in studies of first-episode schizophrenia patients transformed the psychiatric field’s thinking about the pathophysiology, course, and potential for disease-modifying effects of treatment. These include the relationship between the duration of untreated psychotic symptoms and outcome; the superior responses of first-episode patients to antipsychotics compared with patients with chronic illness, and the reduction in brain gray matter volume over the course of the illness. Studies of the effectiveness of early detection and intervention models of care have provided encouraging but inconclusive results in limiting the morbidity and modifying the course of illness. Nevertheless, first-episode psychosis studies have established an evidentiary basis for considering a team-based, coordinated specialty approach as the standard of care for treating early psychosis, which has led to their global proliferation. In contrast, while clinical high-risk research has developed an evidence-based care model for decreasing the burden of attenuated symptoms, no treatment has been shown to reduce risk or prevent the transition to syndromal psychosis. Moreover, the current diagnostic criteria for clinical high risk lack adequate specificity for clinical application. What limits our ability to realize the potential of early detection and intervention models of care are the lack of sensitive and specific diagnostic criteria for pre-syndromal schizophrenia, validated biomarkers, and proven therapeutic strategies. Future research requires methodologically rigorous studies in large patient samples, across multiple sites, that ideally are guided by scientifically credible pathophysiological theories for which there is compelling evidence. These caveats notwithstanding, we can reasonably expect future studies to build on the research of the past four decades to advance our knowledge and enable this game-changing model of care to become a reality.

Scientific progress in understanding human disease can be measured by the effectiveness of its treatment. There are three ways in which it can be measured: alleviation of symptoms without affecting the disease course (e.g., l-dopa for Parkinson’s disease, cholinesterase inhibitors for Alzheimer’s disease, triptans for migraine headaches); prevention of progression, but not curative (e.g., glatiramer and interferon for multiple sclerosis, anticoagulants for cerebrovascular disease, anticonvulsants for seizure disorders); and curative or preventive (e.g., surgical procedures for tumors, antibiotics and vaccines for infectious diseases).

The first effective treatment for schizophrenia and related psychotic disorders was chlorpromazine, the prototypical antipsychotic drug (1). Numerous other compounds were subsequently developed, all of which work by a common mechanism of action: inhibition of dopamine at the postsynaptic D2 receptor. More than four decades of research with antipsychotics has definitively proven their efficacy in alleviating psychotic symptoms and preventing symptom recurrence (24). Despite these results, antipsychotics were considered to be a symptomatic treatment, acting like cholinesterase inhibitors for Alzheimer’s disease or l-dopa for Parkinson’s disease, and were not believed to resolve the fundamental pathology or alter the course of the illness (5, 6).

However, beginning in the late 1980s, studies of first-episode psychosis patients (7), in conjunction with seminal reviews by McGlashan (8) and Wyatt (9), revealed two revolutionary findings that challenged that premise: 1) longer durations of untreated psychosis were associated with worse treatment responses and outcomes (10, 11); and 2) a significant portion of first-episode psychosis patients could achieve symptom remission and recovery if they received effective treatment in a timely fashion (1214). These studies indicated that the timing of treatment in first-episode patients was a critical factor in determining their prognoses. More generally, they also suggested that active psychosis was, in effect, “bad for the brain” in that it reflected an underlying pathophysiologic process that was progressive unless alleviated by treatment.

These findings significantly influenced scientific thinking and clinical approaches to schizophrenia and raised the possibility of treatment being able to limit its morbidity and even prevent its onset—or, in other words, modify the course of the illness. In this article, we review the evidence for this radical reconceptualization of schizophrenia and therapeutic prospects for those affected.

Nosology: the Early Classification of Schizophrenia

Progress in understanding schizophrenia can be said to begin with the description of dementia praecox by Pick and Kraepelin (15, 16) (Table 1). (Before that, psychiatric nosology was chaotic and characterized by a conflicting mosaic of inconsistent systems in which disease categories were based on short-term and cross-sectional observations of patients, from which the putative characteristic signs and symptoms of a given disease concept were derived.) The dominant psychiatric constructs, which gave a semblance of order to this fragmentary nosology, were the theory of degeneration and the concept of “unitary psychosis” (Einheitspsychose) (17). What distinguished what we now call schizophrenia from other conditions whose clinical profiles included psychotic symptoms was the patients’ clinical deterioration over the course of their illness. Hence, Pick and Kraepelin applied the term dementia praecox because of the progressive impairment in cognitive function in young patients in contrast to senile dementia. In addition to establishing diagnosis for a disorder, their conceptualization of the illness hinted at its pathophysiology and defined a potential target for therapeutic intervention.

TABLE 1. Timeline of progress in preventive intervention research for schizophrenia

MilestoneAuthors, Year (Reference)Significance
Defined dementia praecoxPick 1891 (15), Kraepelin 1896 (16)Established nosology of mental illness
Defined schizophreniaBleuler 1908 (18)Redefined dementia praecox as schizophrenia
Published paper on prevention of onsetSullivan 1927 (65)First proposed idea for prevention
Discovery and early use of chlorpromazineLaborit 1950 (cited in Thuillier 1999 [1]), Lehmann and Hanrahan 1954 (146), Delay and Denniker 1955 (147)Development of antipsychotics and confirmation of effectiveness
Dopamine hypothesisSnyder et al. 1974 (19), Seeman and Lee 1975 (148), Meltzer and Stahl 1976 (149)First scientifically credible pathophysiological theory of schizophrenia
Early brain imaging studiesHuber 1957 (150), Haug 1982 (151), Johnstone et al. 1976 (152), Weinberger et al. 1979 (153)First in vivo neuroimaging studies showing structural abnormalities
Synaptic pruning hypothesisFeinberg 1982 (120), Keshavan et al. 1994 (123)Heuristic pathophysiological theory of schizophrenia
Neurodevelopmental hypothesisWeinberger 1987 (31), Murray et al. 1992 (32), Bloom 1993 (33)Heuristic pathophysiological theories of schizophrenia
Revised dopamine hypothesisPycock et al. 1980 (24), Carlsson 1988 (25), Davis et al. 1991 (26), Lieberman et al. 1997 (27), Laruelle and Abi-Dargham 1999 (28), Kapur 2003 (29), Howes and Kapur 2009 (30)Heuristic pathophysiological theories of schizophrenia
Two-syndrome hypothesisCarpenter et al. 1973 (154), Crow et al. 1982 (34), Andreasen and Olsen 1982 (155)Heuristic pathophysiological theories, positive and negative symptoms of schizophrenia, two-syndrome typology of schizophrenia, positive and negative syndromes of schizophrenia
Genetic high-risk studiesGottesman and Shields 1966, 1967 (67, 68), Erlenmayer-Kimling and Cornblatt 1987 (69), Mednick et al. 1987 (70), Mirsky 1995 (71), Hodges et al. 1999 (72)Long-term high-risk cohort studies to identify predictors of schizophrenia
First-episode psychosis studiesMay et al. 1981 (36), Rabiner et al. 1986 (12), Nuechterlein et al. 1992 (156), Kirch et al 1992 (7), Lieberman et al. 1993 (14), Thara et al. 1994 (13), Melle et al. 2004, 2008 (48, 49), Norman et al. 2011 (157), Nordentoft et al. 2014 (56), Dixon et al. 2015 (50), Kane et al. 2016 (54)Prospective studies of early stages of schizophrenia demonstrated good treatment response, reduction of duration of untreated psychosis, feasibility and efficacy of specialized treatment programs
Neuroprogression hypothesis of schizophreniaMcGlashan 1988 (8), Wyatt 1991 (9), DeLisi et al. 1997 (158), Lieberman 1999 (159)Influential review of schizophrenia course found deterioration in early stages of illness inspired heuristic pathophysiological theory of schizophrenia and the early detection and intervention initiative
Glutamate hypothesisJavitt and Zukin 1991 (128), Krystal et al. 1994, 2005 (137, 160), Olney and Farber 1995 (161), Goff and Coyle 2001 (162), Moghaddam and Javitt 2012 (129), Schobel et al. 2013 (93)Heuristic pathophysiological theories of schizophrenia
Brain MRI studies of progressionLieberman et al. 1992, 2001 (163, 164), DeLisi et al. 1997 (158), Gur et al. 1998 (165), Andreasen et al. 2011 (166), Cahn et al. 2002, 2006, 2009 (3840), Bartzokis et al. 2012 (42), Schobel et al. 2013 (93)Studies showing progressive brain morphologic changes over the course of schizophrenia
Clinical high-risk studiesFalloon 1992 (66), Yung and McGorry 1996 (74), McGlashan et al. 2001 (167), Addington et al. 2007 (77), Klosterkötter et al. 2005 (80), Ruhrmann et al. 2010 (81), Egerton, Howes et al. 2009, 2011, 2013 (98100), Schobel et al. 2013 (93), McFarlane et al. 2015 (57), Brucato et al. 2017 (82), Koutsouleris et al. 2018 (78), Tognin et al. 2019 (79)Clinical high-risk studies that demonstrated rates and time course of conversion and phenomenologic criteria for identification and diagnosis

TABLE 1. Timeline of progress in preventive intervention research for schizophrenia

Enlarge table

Soon after that, however, Bleuler shifted the focus to the symptoms of the illness within a given episode and renamed the illness schizophrenia, referring to the schism between thought and affect in patients (18). As a result of the emphasis on cross-sectional symptomatology, the goal of future treatments would be to control symptoms rather than altering the course of the illness.

Efforts to Understand the Etiology and Pathophysiology of Schizophrenia

The serendipitous discovery of antipsychotics gave rise to the first scientifically credible pathophysiological theory of schizophrenia, the dopamine hypothesis (19). Previous theories (humoral, psychoanalytic, social learning, existential, constitutional, developmental, family system, infectious, immune), with the exception of the genetic theory, which was supported by epidemiologic genetic data, lacked substantive evidentiary bases (2023). Since its inception five decades ago, the dopamine hypothesis has undergone multiple iterations (2430). Despite these, while durable and heuristic, the dopamine hypothesis has been limited in its ability to fully explain the clinical pathology and course of schizophrenia and lead to innovative and better treatments.

A decade later, two competing pathophysiological theories emerged that subsequently framed the field’s thinking and research (3134). The neurodevelopmental hypothesis of schizophrenia postulates that etiologic and pathogenic factors (such as genes and environmental insults), antedating the onset of the illness, disrupt the course of normal brain development, resulting in subtle alterations of specific cells, circuits, and their connectivity (3133). This developmental disruption confers vulnerability to malfunction and the consequent manifestation of symptoms diagnostic of the illness. However, in contrast to other genetic neurodevelopmental disorders, such as autism, fragile X syndrome, or Down’s syndrome, the phenotype of schizophrenia is expressed after a latency period extending into the second and third decades of life. After its onset and over its course, the illness persists as a static encephalopathy, and the brain abnormalities only progress in the context of the aging process (35).

Although heuristic, the neurodevelopmental hypothesis of schizophrenia did not explain variation in the course of the illness after its onset or in response to treatment, and specifically its progressive nature. In addition, it fostered a therapeutic pessimism in which people with schizophrenia were “doomed from the womb” and had bleak prognoses regardless of treatment.

Because of these limitations and in an effort to accommodate the heterogeneity observed in the clinical presentations and research findings of schizophrenia, Crow proposed a “two-syndrome hypothesis” of schizophrenia (34) (Figure 1). Type I was characterized by acute episodes with mostly positive symptoms, minimal negative and cognitive symptoms, good antipsychotic treatment response, and indices of excessive dopamine activity. Type II was characterized by negative and cognitive symptoms (in addition to positive symptoms), poor treatment response, and evidence of brain structural pathology in vivo and postmortem. A novel feature of this hypothesis was the element of unidirectional progression of the illness from the type I to type II syndrome over time.

FIGURE 1.

FIGURE 1. Features and relationship of the two forms of schizophrenia and the potential for progression over the course of illnessa

a Some illnesses present with positive symptoms, as in the left segment of the figure. If they remit, they tend to be labeled as “schizophreniform,” “schizoaffective,” or “reactive.” If they persist and no negative symptoms appear, they can be considered as chronic paranoid illnesses (according to the paranoid-nonparanoid dichotomy of Tsuang and Winokur (190). Illnesses in which negative symptoms also appear (or are already present) will tend to be labeled as “nonparanoid,” “true,” “process,” or “classical Kraepelinian” schizophrenia. In some of these illnesses, positive symptoms will remit (as Pfohl and Winokur [191] have documented), leaving the “pure deficit” type II syndrome (right-hand segment of Venn diagram). In some cases, positive symptoms reappear. However, the crossed arrow between the middle and left-hand segments of the diagram is intended to indicate the relative resistance to remission of the components of the type II syndrome, that is, primary negative symptoms and intellectual impairment. (From Crow TJ, The two-syndrome concept: origins and current status, Schizophrenia Bulletin 1985, volume 11, p. 480, by permission of Oxford University Press.)

Shortly after publication of Crow’s two-syndrome hypothesis, McGlashan published a comprehensive review of the natural history of schizophrenia (8) that highlighted the clinical deterioration associated with the illness and specified that this occurred predominantly in the first 5 to 10 years of the illness. Subsequently, Wyatt (9) published an influential review that found that delays in treatment were associated with poorer outcomes. In addition, prospective studies of first-episode schizophrenia patients mapped the progressive nature of the illness and the therapeutic effects of treatment, beginning with the classic treatment study by May et al. (36). Concurrently, longitudinal MRI assessments of first-episode patients found progressive volumetric reduction of gray matter in specific brain regions and enlargement of the lateral ventricles and subarachnoid space (14, 37), in some cases reflecting illness course (3841) and mitigated by treatment (3943).

Studies of Natural History and Early Intervention

The consistently replicated correlation between longer duration of untreated psychosis and poorer outcome, along with the increasing reports of morphological changes demonstrated by longitudinal brain imaging studies, resonated with the historical descriptions of clinical deterioration by Kraepelin and subsequent long-term follow-up studies of (Manfred) Bleuler and Ciompi (8). These results prompted researchers to describe the natural history of schizophrenia as progressing through four stages of illness—premorbid, prodromal, onset/progressive, and chronic residual (44, 45). They also prompted researchers to redouble their efforts to develop a strategy to diagnose and treat patients as early in the course of their illness as possible.

The early identification and intervention strategy for schizophrenia offered hope to patients and clinicians alike that treatment could possibly limit the chronic morbidity and disability of schizophrenia (46, 47) (Figure 2). However, two critical challenges had to be addressed to achieve this goal: 1) reducing the time between the patient’s onset of symptoms and their diagnosis and treatment, and 2) engaging patients in treatment to foster recovery and prevent relapses.

FIGURE 2.

FIGURE 2. Natural history of schizophrenia and the rationale for early detection and interventiona

a Shown are the stages of illness in schizophrenia. Pre-syndromal stages are premorbid and prodromal; syndromal stages include the onset of first episode of psychosis and continue through the progressive stage. The goal of treatment in the early stages of illness, at or prior to the onset of the first episode of psychosis, is to prevent or shorten the duration of psychotic episodes, reduce recurrences, and limit the progressive decline in functioning (deterioration) that occurs in the syndromal stage and leads to the chronic effects of the disease. (From Lieberman JA, First MB, Psychotic disorders, New England Journal of Medicine, volume 379, p. 274. Copyright 2018, Massachusetts Medical Society. Reprinted with permission.)

Duration of Untreated Psychosis and the TIPS Study

First-episode studies revealed that the amount of time from when patients first developed psychotic symptoms until their initial treatment was on average 1 year in the developed countries and twice as long in developing countries (10). Thus, if the duration of untreated psychosis was a critical factor in determining treatment outcome, it would be important to reduce it to optimize outcomes.

To examine whether early detection programs could reduce the duration of untreated psychosis in people seeking care, McGlashan and colleagues in Scandinavia carried out an observational cohort study of 281 individuals with primary psychotic disorders (48, 49). The Early Treatment and Intervention in Psychosis Study (TIPS) was conducted in four health care sectors in Norway and Denmark. A public awareness campaign and an early detection program were implemented in two sectors, and mental health care as usual was provided in the other two sectors. Once patients were diagnosed, they were treated by the same protocol regardless of which sector they were in. The early detection sectors broadcast public service announcements designed to raise awareness in the sector’s population about mental illness. Similar information was provided to primary care providers and other first-line health care personnel. In addition, a telephone number was included as part of the campaign that would allow patients, family, and friends to call the early detection teams as necessary. Usual care involved no outreach and patients seeking care on their own initiative.

Patients were followed for several years. At baseline, individuals in the early detection regions had significantly shorter duration of untreated psychosis (5 weeks) than those in the non–early detection group (16 weeks), indicating that the public outreach worked to encourage people to seek treatment sooner. Individuals in the early detection group were also less symptomatic and had better functioning (49). At 3 months, individuals in the early detection group had less negative and general psychopathology symptoms and better functioning. At 2 years, despite the fact that there were no differences between the two groups in treatment received, the early detection group still had lower levels of negative, cognitive, and depressive symptoms as measured by the Positive and Negative Syndrome Scale (PANSS) (48).

First-Episode Psychosis Studies and the RAISE Initiative

The second challenge was whether first-episode psychosis patients would remain engaged in treatment for sustained periods following their recovery, and whether they could be prevented from relapsing. Previous studies of first-episode patients had shown uniformly high attrition rates for various reasons, including lack of awareness about the potential chronicity of the illness, treatment side effects, and stigma.

To address this question, the National Institute of Mental Health (NIMH) launched the Recovery After an Initial Schizophrenia Episode (RAISE) initiative and funded two projects. RAISE Connection was a demonstration project of the feasibility of team-based multidisciplinary treatment tailored to first-episode patients that was implemented in the public mental health systems of New York and Maryland. The idea was to create a model treatment program to which first-episode patients would be referred and the outcomes of patients measured. The results of the project clearly indicated the feasibility of this model of care and its effectiveness through high rates of patient retention, treatment implementation, and seemingly good outcomes measured in symptom reduction, level of function, and work or school engagement (5053). However, since it was a demonstration project, there was no comparison group to show whether RAISE Connection care was superior to usual treatment.

The RAISE Navigate study was a 2-year randomized clinical trial of a comprehensive, recovery-based model of care consisting of four core interventions—personalized medication management, family psychoeducation, resilience-focused individual therapy, and supported employment and education—compared with usual community care for 404 individuals with first-episode psychosis. The results indicated that individuals assigned to the experimental intervention continued in treatment longer and received more services. Moreover, the RAISE Navigate group experienced significantly greater improvement on the quality of life measure (Cohen’s d=0.31) and on total PANSS score (d=−0.29), PANSS depressive factor score (Cohen’s d=−0.23), and Calgary Depression Scale for Schizophrenia score (Cohen’s d=−0.18), but not on positive, negative, or disorganization symptoms, nor on the Clinical Global Impressions severity score over the 24-month period (54). Duration of untreated psychosis was found to moderate the treatment effect on outcomes, so that patients with shorter duration of untreated psychosis improved to a greater degree on measures of quality of life and symptom severity compared with those with longer duration of untreated psychosis.

Among the most important measures of effectiveness were whether individuals with first-episode psychosis would need hospitalization and require Social Security disability benefits or not. As first-episode patients were not disabled at their onset of illness, the need for enrollment in disability programs was an objective measure of treatment effectiveness. However, there were no differences between interventions in hospitalization rates (54) or in the number of study subjects who applied for disability benefits (55).

These results were generally consistent with other first-episode psychosis studies, which found superiority of treatment programs, albeit of modest effect sizes, but the superior effectiveness is dependent on continuing treatment (56).

Despite the RAISE Navigate study’s lack of effects on the economically consequential measures of hospitalization and Social Security disability benefits and modest impact on clinical measures, along with the uncontrolled nature of the study, researchers, clinicians, and policy makers remained enthusiastic about the idea of interdicting the illness at its inception and preventing illness progression and disability. Consequently, first-episode psychosis programs have proliferated (57), with a defined program of coordinated specialty services tailored specifically for first-episode patients fast becoming the new standard of care, such as OnTrack-NY and OnTrack-USA (58, 59) in the United States, EPPIC and HEADSPACE in Australia (60, 61), Forward Thinking Birmingham in the United Kingdom (62), Jigsaw in Ireland (63), ACCESS in Canada (64), and OnTrack-Chile.

Pre-Syndromal Detection and Intervention Research

First-episode psychosis studies prompted researchers to extend the strategy of early intervention to people who did not meet criteria for a syndromal psychotic disorder but were deemed to be at clinical high risk for psychosis. (Individuals at clinical high risk are those who are identified as having nonspecific and attenuated psychotic symptoms and are believed to be at increased risk of developing psychotic disorders, while a diagnosis of prodromal symptoms can only be determined retrospectively for those who go on to develop a syndromal psychosis.) However, the knowledge base and methodology developed in clinical high-risk research were neither as extensive nor as well developed as those of the first-episode psychosis research that prompted and informed the RAISE initiative. Nevertheless, researchers pursued what would be psychiatry’s first attempt at prevention of a mental disorder (46).

History

While contemporary researchers may have used what they learned from first-episode psychosis studies to extend their focus to clinical high-risk patients, it was the eminent psychoanalyst Harry Stack Sullivan who first introduced the idea of prevention of schizophrenia. Sullivan claimed that this most serious of mental disorders was the result of maladaptive relationships and experiences, which could be repaired, rather than hereditary or biological factors (65). Over a half century later, Falloon proposed screening individuals in primary care clinics for the prodromal symptoms of schizophrenia and then applying family therapy to prevent onset of the illness (66).

Sullivan and Falloon were trained in the psychoanalytic and family therapy traditions and focused more on treatment than diagnostic or prognostic measures. While their therapeutic efforts were based on causal hypotheses, they were not supported by empirical evidence. Other investigators focused on predictive diagnostic measures by examining individuals at genetic high risk who had not yet reached schizophrenia’s onset age, hoping to identify measures predictive of schizophrenia (6772), while others focused on nonspecific symptoms, such as cognitive deficits and general abnormalities in perception and thinking, which they referred to as “basic symptoms” (73).

Diagnostic Criteria

What might be considered the modern era of high-risk research was pioneered by Hafner in Germany, McGorry and colleagues in Australia (74), and McGlashan and colleagues (75) in the United States. They were inspired by the first-episode psychosis studies demonstrating the relationship between duration of untreated psychosis and prognosis and Wyatt’s and McGlashan’s influential reviews. (McGlashan coined the term “duration of untreated psychosis,” and McGorry, who organized the International Early Psychosis Association, established an award in Richard Wyatt’s name.) A key difference between theirs and the earlier high-risk research (e.g., Sullivan, Erlenmeyer-Kimling, Mednick) was that it was now motivated by a temporal urgency for effective intervention to avoid the risk of disease onset and progression.

Hafner emphasized gender and age at onset as key features of natural history and developed the Interview for the Retrospective Assessment of the Onset and Course of Schizophrenia and Other Psychoses (IRAOS). The Australian group initially incorporated genetic risk and functional impairment into their criteria for individuals at high risk and then enhanced them with a focus on attenuated positive symptoms. From their work came the Comprehensive Assessment of At-Risk Mental States (CAARMS) (76), an instrument that both assessed psychopathology and identified individuals at high risk for psychosis. Similar work by McGlashan et al. led to the Structured Interview for Prodromal Symptoms/Structured Interview for Psychosis-Risk Syndromes (SIPS) (75).

While their studies were seminal, their results reflected significant methodologic limitations. The case identification criteria produced high false positive rates (>70% of study subjects who met clinical high-risk criteria did not develop a diagnosable psychotic disorder [by DSM or ICD criteria] over the 2- to 5-year follow-up period), which increased as conversion rates to syndromal psychoses decreased in subsequent studies. This led to efforts to ascertain larger sample sizes, broadening the diagnostic criteria, and, with the encouragement of funding agencies, forming consortia, including the North American Prodrome Longitudinal Study (NAPLS) (77), the Early Detection and Intervention for the Prevention of Psychosis Program (EDIPPP) (57), PRONIA (78), PSYSCAN (79), and the European Prediction of Psychosis Study (EPOS) (80).

Studies by these and other groups further characterized the phenomenology of the high-risk state (8184) and eventually led to the creation of algorithms and risk calculators for predicting development of syndromal psychosis (8588). While incrementally better, these instruments still lacked adequate specificity and predictive validity. The limitations of the clinical high-risk criteria were dramatically reflected in the fifth revision of the DSM. The DSM-5 Task Force considered a proposal to include attenuated psychosis syndrome as a new diagnosis purported to identify clinical high-risk patients in the prodromal stage of schizophrenia (89). However, because of its limited specificity and predictive validity, it was judged to be premature and was referred for inclusion in an appendix for insufficiently validated diagnoses requiring further research.

Consequently, intensive efforts have been made to develop confirmatory diagnostic biomarkers by applying a range of modalities (neuroimaging, electrophysiologic, neurocognitive, serologic) to the study of this population in an effort to enhance the diagnostic precision and utility of the clinical high risk designation.

Diagnostic Biomarkers

Much of the initial biomarker research with functional and neuroanatomical MRI applications found individuals at high risk to have values intermediate between healthy individuals and individuals with syndromal psychosis (Table 2). Later work focused more on neurochemical imaging with MR spectroscopy and positron emission tomography (PET) and MRI-derived measures of connectivity and function, which found abnormalities similar to those seen in individuals with syndromal psychosis in clinical high-risk patients but of lesser magnitude. Among these were neuroimaging studies that added to past postmortem research (9092) and highlighted the involvement of medial temporal lobe structures, specifically the hippocampus, as reflecting structural and functional abnormalities in the early stages of, or at high risk for, schizophrenia (9397).

TABLE 2. Candidate biomarkers of clinical high risk and schizophrenia prodrome

Authors, Year (Reference)BiomarkerModalityFinding and Significance
Ferrarelli et al. 2007 (168), Manoach et al. 2016 (101)Sleep spindlesHigh-density EEGSleep spindles are reduced in schizophrenia. They are generated by the thalamic reticular nucleus and dorsal thalamus, then transferred by thalamic relay neurons to the cortex, where spindle oscillations are synchronized. Current pathophysiologic models of schizophrenia highlight the possibility of thalamocortical dysfunctions being related to GABA and NMDA receptor-mediated glutamatergic neurotransmission accounting for core symptoms of illness.
Schobel et al. 2009, 2013 (93, 102)Hippocampal CA1 cerebral blood flow and volumeMRI: structural and gadoliniumElevated left CA1 cerebral blood volume at baseline predicts transition to syndromal psychosis and hippocampal atrophy.
Howes et al. 2009, 2011, Egerton et al. 2013 (98100)Dopamine synthesis capacity in striatumPET: F-DOPAIndividuals at high risk for psychosis have elevated striatal dopamine, particularly in the associative striatum, and this predicts transition to syndromal psychosis.
Stone et al. 2009 (169)Glutamate levels in anterior cingulate cortex and thalamus and gray matter volume1H-MR spectroscopy and structural MRIHigher glutamine levels in anterior cingulate in high-risk individuals compared with control subjects, but lower glutamate and glutamine (Glx) levels in thalamus than controls; less gray matter volume in orbitofrontal cortex and ventral anterior cingulate cortex and more gray matter volume in left cerebellum and left occipital cortex in high-risk individuals than control subjects.
de la Fuente-Sandoval 2011, 2013, 2015 (103105)Glutamate levels in associative striatum1H-MR spectroscopyIndividuals at high risk for psychosis have elevated levels of glutamatergic metabolites in the associative striatum, and this predicts transition to syndromal psychosis.
Bodatsch et al. 2011, Perez et al. 2014 (106, 107)Mismatch negativityMMN/EEGMismatch negativity is decreased in high-risk individuals and predicts transition to syndromal psychosis
Walker et al. 2013 (108)Salivary cortisolSalivary cortisolHigh-risk individuals have higher salivary cortisol than control subjects, higher cortisol correlates with greater psychopathology, and baseline cortisol predicted conversion to psychosis.
Bedi et al. 2015 (109)Automated speech analysis and machine learningAutomated speech analysis and machine learningSpeech features of individuals at high risk for psychosis are able to predict who will transition to a syndromal psychosis.
Anticevic et al. 2015 (110)Thalamic dysconnectivityResting-state MRIThalamic dysconnectivity is present in individuals at high risk for psychosis and is most pronounced in individuals who progress to syndromal psychosis.
Perkins et al. 2015 (111)Blood-based biomarkersBlood-based biomarkersMeasures of inflammation, oxidative stress, and the hypothalamic-pituitary axis may enhance risk prediction.
Chung et al. 2018 (112)MRI-based neuroanatomical maturityMachine learning and MRIHigh-risk individuals have a greater deviance in their neuroanatomical maturity than do healthy control subjects, and this predicted transition to syndromal psychosis among younger individuals.
Cassidy et al. 2019 (113)Neuromelanin sensitive MRIMRI: neuromelaninNM-MRI signal is positively correlated with severity of positive symptoms in both schizophrenia and in clinical high-risk individuals.
Bossong et al. 2019 (170)Hippocampal glutamate levels1H-MR spectroscopyHigh-risk individuals who transition to syndromal psychosis have higher hippocampal glutamate levels than high-risk individuals who do not transition. High-risk individuals who have poor functional outcomes have higher hippocampal glutamate levels than high-risk individuals who have good functional outcomes.

TABLE 2. Candidate biomarkers of clinical high risk and schizophrenia prodrome

Enlarge table

Some of the most promising biomarkers were measures of midbrain and striatal dopamine concentrations, metabolic activity in the (predominantly) left CA1 region of the hippocampus, glutamatergic activity in the associative striatum, decreased mismatch negativity, automated speech analysis, thalamic dysconnectivity, reduced number of sleep spindles, salivary cortisol, blood-based biomarkers (oxidative stress, inflammatory, immune analytes), and neuroanatomical maturity (93, 98113). However, the ability of even these measures to predict which clinical high-risk individuals would progress to syndromal psychosis was insufficiently reliable to be clinically applied.

Preventive Intervention Studies

The ultimate goal of schizophrenia research is to prevent (or delay) the onset of the illness. Suffice it to say, despite efforts to develop treatments for prevention (Table 3), as well as success developing treatments that can decrease the burden of attenuated symptoms, no treatment has yet been proven effective for prevention of transition to syndromal psychosis. Experimental medicine approaches to develop preventive treatments for schizophrenia is a major emphasis of the NIMH Accelerating Medicines Partnership between government, industry, and academic investigators. These studies are intended to test new chemical entities aimed at specific molecular targets with compelling scientific rationales for putative therapeutic efficacy.

TABLE 3. Treatment studies of clinical high-risk patientsa

StudyInterventionSample Size (N)Length of Follow-UpFindingNotes
McGorry et al. 2002 (171)6 months of risperidone plus CBT versus needs-based intervention5912 months from baselineEarly advantages for conversion to syndromal psychosis did not persistSingle-blind
Morrison et al. 2004, 2007 (172, 173)6 months of cognitive therapy or treatment as usual5812 months from baselineCognitive therapy was superior for transition to psychosis and positive symptomsAdvantages for transition to psychosis did not persist at 3 years
McGlashan et al. 2006 (174)12 months olanzapine versus placebo6012 months from baselineOlanzapine protected against conversion but nonsignificantlySide effects were problematic and led to attrition
Amminger et al. 2010 (175)12 weeks of omega-3 polyunsaturated fatty acids or placebo8140 weeksRates of conversion to syndromal psychosis were lower in the intervention group
Yung et al. 2011, McGorry et al. 2013 (176, 177)12 months of cognitive therapy plus risperidone versus supportive therapy versus cognitive therapy11512 months from baselineNo significant differences in rates of transition to syndromal psychosis
Addington et al. 2011 (178)6 months of CBT or supportive therapy51Up to 18 months from baselineNo difference in transition rates or symptom change
Bechdolf et al. 2012 (179)12 months of integrated psychological intervention (CBT, skills training, cognitive remediation, psychoeducation) or supportive counseling12812–24 months from baselineThe integrated psychological intervention was superior to supportive counseling for transition to psychosis or subthreshold psychosisPatients had “basic symptoms”
Van der Gaag et al. 2012 (180)6 months of CBT or treatment as usual20118 months from baselineCBT was superior for transition to psychosis and symptom reduction
Morrison et al. 2012 (181)6 months of cognitive therapy or monitoring of mental status28812–24 months from baselineNo difference in transition rates
Woods et al. 2013 (182)12 weeks of glycine or placebo in the placebo-controlled trial; 8 weeks of just glycine in the open trial8 in placebo-controlled trial; 10 in open-label trialUp to 24 weeks from baselineGlycine treatment led to improvements in SIPS score at 8 weeksVariable levels of follow-up and intervention after 8 and 12 weeks
O’Brien et al. 2014 (183)Family-focused therapy (18 sessions of psychoeducation, communication training, and problem-solving training) or enhanced care treatment, which consisted of three sessions of psychoeducation666 months from baselineIndividuals in the intervention group demonstrated greater improvements on measures of communication and conflictIntervention performed with high-risk patients and their parents or significant others
McFarlane et al. 2015 (57)24 months of family-aided assertive community treatment to early first-episode patients and higher-risk patients, and community care to a lower-risk group33724 months from baselineFamily-aided assertive community treatment was superior to community care for positive symptomsInvolved both first-episode and high- and low-risk patients, and interventions were assigned based on risk level
Piskulic et al. 2015 (184)40 hours over 12 weeks of auditory processing cognitive remediation therapy versus computer games32Up to 9 months from baselineWithin-group cognitive improvements over time (up to 9 months)
Kantrowitz et al. 2015 (185)16 weeks of d-serine or placebo3516 weeks from baselined-Serine had a beneficial effect on total negative symptomsIncluded high-risk patients with negative symptoms
Loewy et al. 2016 (186)40 hours of auditory processing–based exercises designed to target verbal learning and memory operations or computer games832 months from baseline (40 hours of the intervention)Auditory processing–based exercises improved verbal memory to a greater degree than did computer games
Stain et al. 2016 (187)6 months of CBT or nondirective reflective listening5712 months from baselineIndividuals in the nondirective reflective listening group experienced greater decreases in distress associated with subclinical psychotic symptoms
McGorry et al. 2017 (188)6 months of omega-3 polyunsaturated fatty acids and cognitive-behavioral case management or placebo and cognitive-behavioral case management3046 months from baselineNo differences in rates of transition to syndromal psychosis
Bhattacharyya et al. 2018 (189)One dose of cannabidiol or placebo33Cannabidiol resulted in intermediate activation in striatal, medial temporal lobe, and midbrain areas of the brain compared with high-risk individuals who received placebo and healthy control subjectsUsed BOLD fMRI

aBOLD=blood-oxygen-level-dependent; CBT=cognitive-behavioral therapy; SIPS=Structured Interview for Prodromal Symptoms/Psychosis-Risk Syndromes.

TABLE 3. Treatment studies of clinical high-risk patientsa

Enlarge table

The criteria for considering candidate preventive treatments necessarily differ from those that apply to treatments for the full-blown illness. In the latter case, the diagnosis is already established, symptoms are severe, treatments with proven efficacy and known safety exist, and there is some understanding of the treatments’ mechanism of action and relationship to the disease pathophysiology. For the former, there is uncertainty about the goals of treatment (amelioration of the attenuated and nonspecific symptoms versus prevention or delay of progression to syndromal psychosis), limited awareness of the pathophysiology that putative treatments should target, and a lower threshold for safety and risk of iatrogenic harm.

To meet the challenge of developing treatments for prevention in people who are in their prodromal stage of illness and may not be clearly diagnosable, greater methodologic rigor and a higher standard of proof are required. Future research to validate diagnostic or theragnostic biomarkers and treatment strategies for clinical high-risk and prodromal populations ideally should be guided by scientifically credible pathophysiological theories for which there is substantial supporting evidence.

Pathophysiological Theories to Guide Future Research

There are currently three viable theories with various permutations and many areas of overlap to guide research on biomarker and therapeutics development for early detection and preventive intervention in schizophrenia.

Dopamine Theory

The original dopamine hypothesis, in 1974, postulated that overactivity in neurotransmission from dopamine cell bodies located in the ventral tegmental area of the midbrain to their terminal fields in the nucleus accumbens results in the development of psychotic symptoms (19). The next iteration of this hypothesis came with the work of Pycock et al. (24) and was extended to include both frontal-cortical (mesocortical) and subcortical (mesolimbic) components and demonstrated their reciprocal relationship. Deafferentation of frontal cortical neurons has been shown to result in decreased cortical dopamine activity and increased subcortical dopamine activity. The hypodopaminergic state in the frontal cortical terminal fields of the dopamine neurons, whose cell bodies are located in the ventral tegmental area, was hypothesized to be the basis of the negative symptoms of schizophrenia—avolition, apathy, alogia, and asociality—while hyperactivity of dopamine neurons projecting to the nucleus accumbens and limbic cortex were believed to cause the positive (psychotic) symptoms of the disorder (25, 30, 114, 115).

More recently, PET studies have suggested that the rostral caudate (i.e., associative striatum) may be a pathological locus in schizophrenia (98100, 116, 117). Abi-Dargham and colleagues (118) have proposed that abnormal brain development leads to disruptions in the connectivity of dopamine pathways to the rostral caudate, including altered differentiation of the associative striatum from the sensorimotor striatum, abnormal patterning of dopamine and other inputs to the associative striatum, abnormal interactions between striatal dopamine and other neurotransmitters, and abnormal cortical inputs to the associative striatum.

Another iteration of the dopamine hypothesis draws from the substance abuse literature. Sensitization is defined as a behavioral, physiological, or cellular response to a stimulus that is augmented as a result of repeated prior exposure to that stimulus (119). This definition is derived initially from behavioral models of learning and refers to the progressive increase in the behavioral effects of psychostimulant drugs (which are indirect dopamine agonists) that are elicited by intermittent drug administration (119). Applying this concept to the dopamine hypothesis postulates that dysregulation in presynaptic trafficking of endogenous dopamine in the mesolimbic pathway mimics the effect of exogenous stimulant administration by releasing excess dopamine, which overstimulates postsynaptic receptors and causes neurochemical sensitization (2729). As this aberration increases, ideas of reference become delusions and illusions become hallucinations.

Kapur elaborated the model of dopamine hyperactivity and neurochemical sensitization by applying it to the cognitive function of salience (29). Salience refers to a process whereby environmental stimuli and internal thoughts command our attention and drive motivation and behavior. The same mesolimbic dopamine system in which hyperactivity produces psychotic symptoms is believed to be a key component in the attribution of salience, as it is in reward and hedonic perception. In Kapur’s innovative conceptualization of salience as a mechanism in the pathogenesis of schizophrenia, dysregulated dopamine leads to aberrant assignment of salience in which normative stimuli are reified to ideas of reference and illusions and ultimately to delusions and hallucinations.

While the earlier versions of the dopamine hypothesis would suggest dopamine antagonists (i.e., antipsychotics) as treatments, the sensitization and salience versions might predict that while antipsychotics could dampen the symptoms, they would not remove their underlying basis. However, novel agents like NMDA antagonists, which have been shown to block the induction of sensitization (although not its expression once established), could be effective (27).

Synaptic Pruning/Immune Theory

In 1982 Feinberg (120), prompted by the work of Huttenlocher (121), proposed another pathophysiologic hypothesis, postulating that the maturational process of synaptic pruning is excessive in persons who develop schizophrenia. Elimination of extraneous synapses normatively occurs in the human brain during adolescence and into the third decade of life. This late phase of cortical maturation is unique to humans and corresponds to the temporal window of symptom expression in schizophrenia. This theory is consistent with the loss of cortical gray matter without cell death, which is the principal finding of postmortem studies in schizophrenia brains (122).

Keshavan et al. subsequently integrated this pathogenic model with the neurodevelopmental hypothesis (123), and, most recently, genetics studies by Stevens and McCarroll and colleagues provided a mechanistic explanation for how excessive synaptic elimination may occur (124, 125). They found an up-regulation of complement genes (specifically C4) in people with schizophrenia and speculated that this gain of function could cause microglial activation, which could phagocytose synapses. This finding leveraged the work of Shatz, who had previously discovered that major histocompatibility class I genes were integral to the molecular mechanisms of synaptic pruning and circuit formation, in addition to their more commonly understood role in conferring cellular immunity (126). They further observed that C4 was expressed in the gray and white matter, with the greatest concentration of C4-positive neurons and synapses in the hippocampus.

This work provided an important link between the immune system—long suspected to play a role in the pathogenesis of schizophrenia—and the trajectory of brain development and maturation (127). The possibility that neuron-microglia interactions via the complement cascade caused excessive synaptic pruning by activating microglia during adolescence offered a potential mechanism to explain the reasons for age at onset, symptom expression, brain volume change, and synapse loss.

The therapeutic implications of this hypothesis are varied, suggesting potential for compounds that would inhibit complement gene expression, block phagocytosis, or target inflammation. There is also the question of timing of the treatment administration to the critical period of development during which this excessive synaptic elimination is thought to occur.

Glutamate and GABA Theory

The glutamate hypothesis of schizophrenia postulated that dysregulation of glutamatergic chemical neurotransmission causes excessive synaptic concentrations of glutamate by pyramidal cells, which leads to the clinical manifestations of the illness and potential excitatory neurotoxicity (128, 129). Javitt and Zukin proposed this hypothesis in 1991 (128) based on their studies of the psychotomimetic effects of phencyclidine. Their initial focus on NMDA receptor hypofunction was expanded to include the surge in presynaptic glutamate release in response to impeded NMDA signal transduction (129).

An important addition to the glutamate hypothesis came from the laboratories of Lewis (130), Benes (131), and Krystal (132), which consistently found reduced numbers of GABA interneurons in the hippocampus and prefrontal cortex. The reduced perisomatic inhibition of interneurons on target pyramidal cells leads to excessive glutamate release, which in turn could result in further loss of GABA interneurons (130).

The work of Hensch and colleagues provides a possible explanation for the deficit in GABAergic regulation of pyramidal cells releasing glutamate involving the erosion of perineural nets surrounding GABA interneurons (133). Perineuronal nets are extracellular matrix chondroitin sulfate proteoglycan–containing structures that surround the soma and dendrites of various mammalian neuronal cell types, including parvalbumin staining basket cells, the class of fast-spiking interneurons that regulate the activity of pyramidal cells. Perineuronal nets are important for the onset and closure of the critical periods for developmental plasticity extending into the rodent equivalent of adolescence and early adulthood (134). These researchers found that when they induced oxidative stress in newborn mice, which disrupted the perineuronal nets that enveloped vulnerable GABA interneurons, they failed to provide normal inhibitory input to target pyramidal cells, leading to excess glutamatergic function. Antioxidant agents and glutamate modulating agents reversed this extended window of vulnerability and restored integrity to the protective perineuronal nets, normalizing GABAergic inhibition and glutamate levels (135).

Finally, the previously described studies of Shatz, Stevens, and McCarroll and colleagues (124126) provide another mechanistic explanation for the dysregulation of glutamate and GABA. The toxic gain of function in C4 genes that was found to be expressed in neuronal cell bodies, dendrites, and synapses observed in the hippocampus can reduce the inhibitory control of GABA-secreting interneurons on glutamate-releasing pyramidal cells (126). The consequent glutamatergic dysregulation could cause additional GABA cell loss and further disinhibition of pyramidal cells.

In a parallel line of clinical investigation, Small and colleagues (93) demonstrated in humans that neuronal hyperactivity in the CA1 region of the hippocampus is driven by excessive glutamate and constitutes an early locus of pathology in schizophrenia and precedes the development of atrophy and progression to syndromal psychosis in clinical high-risk individuals. The persistence of dysregulated glutamate activity enables the pathophysiology to spread to the subiculum and other subfields of the hippocampus, and externally to the striatum and frontal cortex, eventually producing reduction of cellular matrix, reflected as atrophy (136).

It should be noted that proposals integrating dopamine and glutamate systems have also been described (137). An accelerator-brake model was proposed by Carlsson et al. (138) connecting excess cortical glutamatergic activity to striatal dopamine release. The model predicts that if striatal dopamine release is enhanced, feedback regulation will increase the activity of the brake to counteract dopamine release. If the brake fails because of a (hypothetical) NMDA receptor deficiency in schizophrenia, the release of striatal dopamine will be enhanced—a prediction that was demonstrated with neuroreceptor imaging of dopamine release in humans (139). More recently, a preclinical model connecting hippocampal glutamate hyperactivity to increased striatal dopamine function has been developed by Lodge and Grace (140) that explains the coexisting disturbances in these neurotransmitter systems in individuals with schizophrenia and presumably those at clinical high risk.

A Unified Model

A unified pathophysiological model can be derived from these different but interconnected theories that incorporates the principles of altered neurodevelopment, including the fine tuning of neural circuits through synaptic elimination, and disruption of the excitatory/inhibitory balance between glutamate and GABA systems that in turn leads to symptom expression and disease progression. The key components of this model follow (Figure 3).

FIGURE 3.

FIGURE 3. Pathophysiological model of psychotic disorders: a schematic diagram illustrating the various permutations of the dopamine and glutamate hypothesesa

a A sagittal view of the brain through the midline depicts the hippocampus, midbrain, corpus striatum, and prefrontal cortex, all regions that are implicated in the pathophysiology of psychotic symptoms in schizophrenia. The neurotransmitters involved include dopamine (blue arrows), glutamate (purple arrows), and γ-aminobutyric acid (GABA) (green arrows). The symptoms of schizophrenia are believed to arise from the dysregulation of pyramidal cells that release glutamate onto cells located in and projecting from the CA1 region of the hippocampus caused by deficits in GABAergic interneurons and hypofunctioning N-methyl-d-aspartate glutamate receptors (NMDARs) (the red X denotes reduced neurotransmitter and receptor hypofunction). Shown in the enlargement of the hippocampus at right is a glutamate-expressing pyramidal cell and a GABA interneuron. There is underactivation of diminished numbers of interneurons because of hypofunctioning NMDARs. Also shown is the interneuron axon forming a synapse with the apical dendrite of the pyramidal cell. Because of its understimulation, due to a hypofunctioning NMDAR, less GABA is released by the interneuron, which in turn disinhibits the pyramidal cell and causes it to release more glutamate from hippocampal projections to the midbrain (ventral tegmental area [VTA]) and the corpus striatum (nucleus accumbens). Hippocampal overactivity augments dopamine release in the striatum either directly (at the level of the nucleus accumbens) or by stimulation of midbrain dopamine neurons, which project to the nucleus accumbens and the prefrontal cortex. Midbrain dopamine neurons further promulgate the dysregulation of dopamine and glutamate through a projection back to the hippocampus. D2R denotes D2 receptor. (From Lieberman JA, First MB, Psychotic disorders, New England Journal of Medicine, volume 379, p. 275. Copyright 2018, Massachusetts Medical Society. Reprinted with permission.)

Susceptibility genes (141), including MHC class I genes in the hypervariability region of chromosome 6, instigate aberrations in brain development and cell-circuit connectivity that create vulnerability to neural dysfunction, which is mediated by excessive synaptic elimination and/or erosion of perineuronal nets leading to the loss of interneurons that alters the GABAergic inhibitory control of glutamate neurotransmission. While these genetic factors may affect brain development diffusely, the initial (or an early) site of dysfunction is the CA1 region of the hippocampus. This assumption is based on the principle of regional vulnerability, which stipulates that no matter how complex a disorder’s clinical phenomenology and diffuse its pathology, it must begin somewhere and therefore initially emerges in one brain region (142). In schizophrenia, the region is the hippocampal formation (as also is the case in Alzheimer’s disease), which contains a circuit comprising anatomically discrete but interconnected subregions with distinct cytoarchitecture and connectivity (143). Because the subregions are interconnected, when one is targeted it can spread to other subregions regions within and external to the hippocampus.

Studies have localized early dysfunction in schizophrenia to the CA1 hippocampal subregion (93, 144). This local disturbance in CA1 hyperactivity, caused by increased glutamate, is transmitted through monosynaptic input to the ventral striatum, leading to increased dopamine release (143). This in turn stimulates symptom expression and ultimately leads to CA1 volume reduction and spread of dysfunction to other brain regions (93).

This formulation of extant theories approximates a comprehensive pathophysiological model that includes a neurodevelopmental diathesis and disease progression components. To verify, modify, or disprove this model, it is important to study patients from their earliest stages, ideally in their prodromal stage or even at premorbid stages. Presumably, these theoretical models will be useful in guiding research to validate diagnostic and theragnostic biomarkers and treatments for preventive interventions.

Conclusions

The possibility of disease modification and prevention in schizophrenia is no longer a fantasy but a realistic goal. What stands between us and achieving this milestone in mental health care is sensitive and specific diagnostic criteria for the prodromal stage of schizophrenia, the validation of biomarkers, and proof of effectiveness of therapeutic agents. Imaging (MRI, PET), electrophysiologic (event-related potentials, gamma band, delta wave sleep), and serologic (oxidative stress, inflammatory, immune analytes) measures show promise as diagnostic or theragnostic markers either individually or in combination as part of a profile. These must be validated in studies with large patient samples and rigorous and reliable biomarker methodology robust enough to be applied across multiple sites and, ideally, practical enough to be easily implemented and readily acquired in community settings. Candidate compounds for experimental medication trials must target molecular substrates integral to the aforementioned pathophysiologic models. Despite recent failures, glutamate neurotransmission remains the most promising target among currently viable candidates. In this context, mGluR partial agonists, allosteric NMDA modulators, d-amino acid oxidase inhibitors, and N-acetylcysteine warrant consideration for testing. Other targets of interest include muscarinic cholinergic agonists, trace amine-associated receptor agonists, phosphodiesterase inhibitors, anti-inflammatory agents, immune system inhibitors, and antioxidant neuroprotectants (145). In vetting therapeutic agents for testing in clinical high-risk samples, it is important to carefully select biomarkers that most clearly reflect target engagement in order to accurately determine the dose and confirm the mechanism of action to avoid failed studies and misleading results.

These caveats notwithstanding, we can reasonably expect future studies to build on the research of the past four decades to advance our knowledge and ultimately enable this game-changing model of care to become a reality.

Department of Psychiatry (Lieberman, Small, Girgis) and Department of Neurology (Small), College of Physicians and Surgeons, Columbia University, New York; New York State Psychiatric Institute, New York (Lieberman, Small, Girgis).
Send correspondence to Dr. Lieberman ().

Supported by NIMH grants R01MH093398 and K23MH106746 and the New York State Office of Mental Health and Research Foundation for Mental Hygiene.

Dr. Lieberman has received support administered through his institution in the form of funding or medication supplies for investigator-initiated research from Denovo, Genentech, Pfizer, Sunovion, and Taisho, and for company-sponsored phase 2, 3, and 4 studies from Alkermes and Allergan; he has served as a consultant or advisory board member for Clintara, Eli Lilly, Intracellular Therapies, Pierre Fabre, and Psychogenics; and he holds a patent from Repligen that yields no royalties. Dr. Small is a member of advisory boards for Janssen Pharmaceutical, Denali Therapeutics, and Meira GTx, and he holds equity in Imij Technologies. Dr. Girgis has received research support from Allergan/Forest, BioAdvantex, Genentech, and Otsuka.

The authors are grateful to Larry Kegeles and Guillermo Horga for comments on the manuscript and Iris Delgado for editorial assistance in manuscript preparation.

References

1 Thuillier J: Ten Years That Changed the Face of Mental Illness. London, Martin Dunitz, 1999Google Scholar

2 Davis JM: Maintenance therapy and the natural course of schizophrenia. J Clin Psychiatry 1985; 46:18–21MedlineGoogle Scholar

3 Kane JM: Treatment of schizophrenia. Schizophr Bull 1987; 13:133–156Crossref, MedlineGoogle Scholar

4 Lehmann HE, Ban TA: The history of the psychopharmacology of schizophrenia. Can J Psychiatry 1997; 42:152–162Crossref, MedlineGoogle Scholar

5 Schneider LS, Mangialasche F, Andreasen N, et al.: Clinical trials and late-stage drug development for Alzheimer’s disease: an appraisal from 1984 to 2014. J Intern Med 2014; 275:251–283Crossref, MedlineGoogle Scholar

6 Burn D: Parkinson’s disease: treatment. Pharm J 2000; 264:476–479Google Scholar

7 Kirch DG, Lieberman JA, Matthews SM: First-episode psychosis, part I: editors’ introduction. Schizophr Bull 1992; 18:177–178Crossref, MedlineGoogle Scholar

8 McGlashan TH: A selective review of recent North American long-term follow-up studies of schizophrenia. Schizophr Bull 1988; 14:515–542Crossref, MedlineGoogle Scholar

9 Wyatt RJ: Neuroleptics and the natural course of schizophrenia. Schizophr Bull 1991; 17:325–351Crossref, MedlineGoogle Scholar

10 Perkins DO, Gu H, Boteva K, et al.: Relationship between duration of untreated psychosis and outcome in first-episode schizophrenia: a critical review and meta-analysis. Am J Psychiatry 2005; 162:1785–1804LinkGoogle Scholar

11 Loebel AD, Lieberman JA, Alvir JM, et al.: Duration of psychosis and outcome in first-episode schizophrenia. Am J Psychiatry 1992; 149:1183–1188LinkGoogle Scholar

12 Rabiner CJ, Wegner JT, Kane JM: Outcome study of first-episode psychosis, I: relapse rates after 1 year. Am J Psychiatry 1986; 143:1155–1158LinkGoogle Scholar

13 Thara R, Henrietta M, Joseph A, et al.: Ten-year course of schizophrenia: the Madras longitudinal study. Acta Psychiatr Scand 1994; 90:329–336Crossref, MedlineGoogle Scholar

14 Lieberman J, Jody D, Geisler S, et al.: Time course and biologic correlates of treatment response in first-episode schizophrenia. Arch Gen Psychiatry 1993; 50:369–376Crossref, MedlineGoogle Scholar

15 Pick A: Ueber primäre chronische Demenz (so. Dementia praecox) im jugendlichen Alter. Prager medicinische Wochenschrift 1891; 16:312–315Google Scholar

16 Kraepelin E: Dementia Praecox and Paraphrenia. Barclay RM, Robertson GM (trans). New York, RE Krieger, 1919Google Scholar

17 Hoenig J: Schizophrenia: clinical section, in A History of Clinical Psychiatry: The Origin and History of Psychiatric Disorders. Edited by Berrios GE, Porter R. London, Athlone Press, 1995Google Scholar

18 Bleuler E: Dementia Praecox, or The Group of Schizophrenias. New York, International Universities Press, 1950Google Scholar

19 Snyder SH, Banerjee SP, Yamamura HI, et al.: Drugs, neurotransmitters, and schizophrenia. Science 1974; 184:1243–1253Crossref, MedlineGoogle Scholar

20 Bentall RP, Fernyhough C: Social predictors of psychotic experiences: specificity and psychological mechanisms. Schizophr Bull 2008; 34:1012–1020Crossref, MedlineGoogle Scholar

21 Laing RD, Esterson A: Sanity, Madness, and the Family. London, Tavistock, 1964Google Scholar

22 Müller N, Schwarz MJ: Immune system and schizophrenia. Curr Immunol Rev 2010; 6:213–220Crossref, MedlineGoogle Scholar

23 Bateson G, Jackson D, Haley J, et al.: Toward a theory of schizophrenia. Behav Sci 1956; 1:251–264CrossrefGoogle Scholar

24 Pycock CJ, Kerwin RW, Carter CJ: Effect of lesion of cortical dopamine terminals on subcortical dopamine receptors in rats. Nature 1980; 286:74–76Crossref, MedlineGoogle Scholar

25 Carlsson A: The current status of the dopamine hypothesis of schizophrenia. Neuropsychopharmacology 1988; 1:179–186Crossref, MedlineGoogle Scholar

26 Davis KL, Kahn RS, Ko G, et al.: Dopamine in schizophrenia: a review and reconceptualization. Am J Psychiatry 1991; 148:1474–1486LinkGoogle Scholar

27 Lieberman JA, Sheitman BB, Kinon BJ: Neurochemical sensitization in the pathophysiology of schizophrenia: deficits and dysfunction in neuronal regulation and plasticity. Neuropsychopharmacology 1997; 17:205–229Crossref, MedlineGoogle Scholar

28 Laruelle M, Abi-Dargham A: Dopamine as the wind of the psychotic fire: new evidence from brain imaging studies. J Psychopharmacol 1999; 13:358–371Crossref, MedlineGoogle Scholar

29 Kapur S: Psychosis as a state of aberrant salience: a framework linking biology, phenomenology, and pharmacology in schizophrenia. Am J Psychiatry 2003; 160:13–23LinkGoogle Scholar

30 Howes OD, Kapur S: The dopamine hypothesis of schizophrenia: version III: the final common pathway. Schizophr Bull 2009; 35:549–562Crossref, MedlineGoogle Scholar

31 Weinberger DR: Implications of normal brain development for the pathogenesis of schizophrenia. Arch Gen Psychiatry 1987; 44:660–669Crossref, MedlineGoogle Scholar

32 Murray RM, O’Callaghan E, Castle DJ, et al.: A neurodevelopmental approach to the classification of schizophrenia. Schizophr Bull 1992; 18:319–332Crossref, MedlineGoogle Scholar

33 Bloom FE: Advancing a neurodevelopmental origin for schizophrenia. Arch Gen Psychiatry 1993; 50:224–227Crossref, MedlineGoogle Scholar

34 Crow TJ, Cross AJ, Johnstone EC, et al.: Two syndromes in schizophrenia and their pathogenesis, in Schizophrenia as a Brain Disease. Edited by Henn FA, Nasrallah HA. New York, Oxford University Press, 1982, pp 196–234Google Scholar

35 Harvey PD, White L, Parrella M, et al.: The longitudinal stability of cognitive impairment in schizophrenia: Mini-Mental State scores at one- and two-year follow-ups in geriatric in-patients. Br J Psychiatry 1995; 166:630–633Crossref, MedlineGoogle Scholar

36 May PR, Tuma AH, Dixon WJ, et al.: Schizophrenia: a follow-up study of the results of five forms of treatment. Arch Gen Psychiatry 1981; 38:776–784Crossref, MedlineGoogle Scholar

37 DeLisi LE, Tew W, Xie S, et al.: A prospective follow-up study of brain morphology and cognition in first-episode schizophrenic patients: preliminary findings. Biol Psychiatry 1995; 38:349–360Crossref, MedlineGoogle Scholar

38 Cahn W, Hulshoff Pol HE, Lems EB, et al.: Brain volume changes in first-episode schizophrenia: a 1-year follow-up study. Arch Gen Psychiatry 2002; 59:1002–1010Crossref, MedlineGoogle Scholar

39 Cahn W, Rais M, Stigter FP, et al.: Psychosis and brain volume changes during the first five years of schizophrenia. Eur Neuropsychopharmacol 2009; 19:147–151Crossref, MedlineGoogle Scholar

40 Cahn W, van Haren NE, Hulshoff Pol HE, et al.: Brain volume changes in the first year of illness and 5-year outcome of schizophrenia. Br J Psychiatry 2006; 189:381–382Crossref, MedlineGoogle Scholar

41 Ho BC, Andreasen NC, Ziebell S, et al.: Long-term antipsychotic treatment and brain volumes: a longitudinal study of first-episode schizophrenia. Arch Gen Psychiatry 2011; 68:128–137Crossref, MedlineGoogle Scholar

42 Bartzokis G, Lu PH, Raven EP, et al.: Impact on intracortical myelination trajectory of long acting injection versus oral risperidone in first-episode schizophrenia. Schizophr Res 2012; 140:122–128Crossref, MedlineGoogle Scholar

43 Lieberman JA, Tollefson GD, Charles C, et al.: Antipsychotic drug effects on brain morphology in first-episode psychosis. Arch Gen Psychiatry 2005; 62:361–370Crossref, MedlineGoogle Scholar

44 Häfner H, Gattaz WF: [Sex differences in schizophrenia]. Gynakologe 1995; 28:426–433 (German)MedlineGoogle Scholar

45 McGorry PD: Issues for DSM-V: clinical staging: a heuristic pathway to valid nosology and safer, more effective treatment in psychiatry. Am J Psychiatry 2007; 164:859–860LinkGoogle Scholar

46 Insel TR: The arrival of preemptive psychiatry. Early Interv Psychiatry 2007; 1:5–6Crossref, MedlineGoogle Scholar

47 Lieberman JA, Dixon LB, Goldman HH: Early detection and intervention in schizophrenia: a new therapeutic model. JAMA 2013; 310:689–690Crossref, MedlineGoogle Scholar

48 Melle I, Larsen TK, Haahr U, et al.: Prevention of negative symptom psychopathologies in first-episode schizophrenia: two-year effects of reducing the duration of untreated psychosis. Arch Gen Psychiatry 2008; 65:634–640Crossref, MedlineGoogle Scholar

49 Melle I, Larsen TK, Haahr U, et al.: Reducing the duration of untreated first-episode psychosis: effects on clinical presentation. Arch Gen Psychiatry 2004; 61:143–150Crossref, MedlineGoogle Scholar

50 Dixon LB, Goldman HH, Bennett ME, et al.: Implementing coordinated specialty care for early psychosis: the RAISE Connection program. Psychiatr Serv 2015; 66:691–698LinkGoogle Scholar

51 Essock SM, Nossel IR, McNamara K, et al.: Practical monitoring of treatment fidelity: examples from a team-based intervention for people with early psychosis. Psychiatr Serv 2015; 66:674–676LinkGoogle Scholar

52 Marino L, Nossel I, Choi JC, et al.: The RAISE Connection program for early psychosis: secondary outcomes and mediators and moderators of improvement. J Nerv Ment Dis 2015; 203:365–371Crossref, MedlineGoogle Scholar

53 Kreyenbuhl JA, Medoff DR, McEvoy JP, et al.: The RAISE Connection program: psychopharmacological treatment of people with a first episode of schizophrenia. Psychiatr Serv 2016; 67:1300–1306LinkGoogle Scholar

54 Kane JM, Robinson DG, Schooler NR, et al.: Comprehensive versus usual community care for first-episode psychosis: 2-year outcomes from the NIMH RAISE early treatment program. Am J Psychiatry 2016; 173:362–372LinkGoogle Scholar

55 Rosenheck RA, Estroff SE, Sint K, et al.: Incomes and outcomes: social security disability benefits in first-episode psychosis. Am J Psychiatry 2017; 174:886–894LinkGoogle Scholar

56 Nordentoft M, Rasmussen JO, Melau M, et al.: How successful are first episode programs? A review of the evidence for specialized assertive early intervention. Curr Opin Psychiatry 2014; 27:167–172Crossref, MedlineGoogle Scholar

57 McFarlane WR, Levin B, Travis L, et al.: Clinical and functional outcomes after 2 years in the early detection and intervention for the prevention of psychosis multisite effectiveness trial. Schizophr Bull 2015; 41:30–43Crossref, MedlineGoogle Scholar

58 Bello I, Lee R, Malinovsky I, et al.: OnTrackNY: the development of a coordinated specialty care program for individuals experiencing early psychosis. Psychiatr Serv 2017; 68:318–320LinkGoogle Scholar

59 Nossel I, Wall MM, Scodes J, et al.: Results of a coordinated specialty care program for early psychosis and predictors of outcomes. Psychiatr Serv 2018; 69:863–870LinkGoogle Scholar

60 Rickwood DJ, Telford NR, Parker AG, et al.: Headspace: Australia’s innovation in youth mental health: who are the clients and why are they presenting? Med J Aust 2014; 200:108–111Crossref, MedlineGoogle Scholar

61 Henry LP, Harris MG, Amminger GP, et al.: Early Psychosis Prevention and Intervention Centre long-term follow-up study of first-episode psychosis: methodology and baseline characteristics. Early Interv Psychiatry 2007; 1:49–60Crossref, MedlineGoogle Scholar

62 Malla A, Iyer S, McGorry P, et al.: From early intervention in psychosis to youth mental health reform: a review of the evolution and transformation of mental health services for young people. Soc Psychiatry Psychiatr Epidemiol 2016; 51:319–326Crossref, MedlineGoogle Scholar

63 O’Reilly A, Illback R, Peiper N, et al.: Youth engagement with an emerging Irish mental health early intervention programme (Jigsaw): participant characteristics and implications for service delivery. J Ment Health 2015; 24:283–288Crossref, MedlineGoogle Scholar

64 Malla A, Iyer S, Shah J, et al.: Canadian response to need for transformation of youth mental health services: ACCESS Open Minds (Esprits ouverts). Early Interv Psychiatry 2019; 13:697–706Crossref, MedlineGoogle Scholar

65 Sullivan HS: Schizophrenia as a Human Process. New York, WW Norton, 1962Google Scholar

66 Falloon IR: Early intervention for first episodes of schizophrenia: a preliminary exploration. Psychiatry 1992; 55:4–15Crossref, MedlineGoogle Scholar

67 Gottesman II, Shields J: Schizophrenia in twins: 16 years’ consecutive admissions to a psychiatric clinic. Br J Psychiatry 1966; 112:809–818Crossref, MedlineGoogle Scholar

68 Gottesman II, Shields J: A polygenic theory of schizophrenia. Proc Natl Acad Sci USA 1967; 58:199–205Crossref, MedlineGoogle Scholar

69 Erlenmeyer-Kimling L, Cornblatt B: The New York High-Risk Project: a follow-up report. Schizophr Bull 1987; 13:451–461Crossref, MedlineGoogle Scholar

70 Mednick SA, Parnas J, Schulsinger F: The Copenhagen High-Risk Project, 1962–86. Schizophr Bull 1987; 13:485–495Crossref, MedlineGoogle Scholar

71 Mirsky AF: Israeli High Risk Study: editor’s introduction. Schizophr Bull 1995; 21:179–182Crossref, MedlineGoogle Scholar

72 Hodges A, Byrne M, Grant E, et al.: People at risk of schizophrenia: sample characteristics of the first 100 cases in the Edinburgh High-Risk Study. Br J Psychiatry 1999; 174:547–553Crossref, MedlineGoogle Scholar

73 Häfner H, Riecher-Rössler A, Hambrecht M, et al.: IRAOS: an instrument for the assessment of onset and early course of schizophrenia. Schizophr Res 1992; 6:209–223Crossref, MedlineGoogle Scholar

74 Yung AR, McGorry PD: The prodromal phase of first-episode psychosis: past and current conceptualizations. Schizophr Bull 1996; 22:353–370Crossref, MedlineGoogle Scholar

75 Miller TJ, McGlashan TH, Woods SW, et al.: Symptom assessment in schizophrenic prodromal states. Psychiatr Q 1999; 70:273–287Crossref, MedlineGoogle Scholar

76 Yung AR, Yuen HP, McGorry PD, et al.: Mapping the onset of psychosis: the Comprehensive Assessment of At-Risk Mental States. Aust N Z J Psychiatry 2005; 39:964–971Crossref, MedlineGoogle Scholar

77 Addington J, Cadenhead KS, Cannon TD, et al.: North American Prodrome Longitudinal Study: a collaborative multisite approach to prodromal schizophrenia research. Schizophr Bull 2007; 33:665–672Crossref, MedlineGoogle Scholar

78 Koutsouleris N, Kambeitz-Ilankovic L, Ruhrmann S, et al.: Prediction models of functional outcomes for individuals in the clinical high-risk state for psychosis or with recent-onset depression: a multimodal, multisite machine learning analysis. JAMA Psychiatry 2018; 75:1156–1172CrossrefGoogle Scholar

79 Tognin S, van Hell HH, Merritt K, et al.: Towards precision medicine in psychosis: benefits and challenges of multimodal multicenter studies: PSYSCAN: translating neuroimaging findings from research into clinical practice. Schizophr Bull 2019; sbz067Crossref, MedlineGoogle Scholar

80 Klosterkötter J, Ruhrmann S, Schultze-Lutter F, et al.: The European Prediction of Psychosis Study (EPOS): integrating early recognition and intervention in Europe. World Psychiatry 2005; 4:161–167MedlineGoogle Scholar

81 Ruhrmann S, Schultze-Lutter F, Salokangas RK, et al.: Prediction of psychosis in adolescents and young adults at high risk: results from the prospective European Prediction of Psychosis Study. Arch Gen Psychiatry 2010; 67:241–251Crossref, MedlineGoogle Scholar

82 Brucato G, Masucci MD, Arndt LY, et al.: Baseline demographics, clinical features, and predictors of conversion among 200 individuals in a longitudinal prospective psychosis-risk cohort. Psychol Med 2017; 47:1923–1935Crossref, MedlineGoogle Scholar

83 Addington J, Liu L, Buchy L, et al.: North American Prodrome Longitudinal Study (NAPLS 2): the prodromal symptoms. J Nerv Ment Dis 2015; 203:328–335Crossref, MedlineGoogle Scholar

84 Cannon TD, Cadenhead K, Cornblatt B, et al.: Prediction of psychosis in youth at high clinical risk: a multisite longitudinal study in North America. Arch Gen Psychiatry 2008; 65:28–37Crossref, MedlineGoogle Scholar

85 Ciarleglio AJ, Brucato G, Masucci MD, et al.: A predictive model for conversion to psychosis in clinical high-risk patients. Psychol Med 2019; 49:1128–1137Crossref, MedlineGoogle Scholar

86 Carrión RE, Cornblatt BA, Burton CZ, et al.: Personalized prediction of psychosis: external validation of the NAPLS-2 psychosis risk calculator with the EDIPPP project. Am J Psychiatry 2016; 173:989–996LinkGoogle Scholar

87 Cannon TD, Yu C, Addington J, et al.: An individualized risk calculator for research in prodromal psychosis. Am J Psychiatry 2016; 173:980–988LinkGoogle Scholar

88 Fusar-Poli P, Rutigliano G, Stahl D, et al.: Development and validation of a clinically based risk calculator for the transdiagnostic prediction of psychosis. JAMA Psychiatry 2017; 74:493–500Crossref, MedlineGoogle Scholar

89 Fusar-Poli P, Yung AR: Should attenuated psychosis syndrome be included in DSM-5? Lancet 2012; 379:591–592Crossref, MedlineGoogle Scholar

90 Falkai P, Bogerts B: Cell loss in the hippocampus of schizophrenics. Eur Arch Psychiatry Neurol Sci 1986; 236:154–161Crossref, MedlineGoogle Scholar

91 Jakob H, Beckmann H: Prenatal developmental disturbances in the limbic allocortex in schizophrenics. J Neural Transm (Vienna) 1986; 65:303–326Crossref, MedlineGoogle Scholar

92 Kovelman JA, Scheibel AB: A neurohistological correlate of schizophrenia. Biol Psychiatry 1984; 19:1601–1621MedlineGoogle Scholar

93 Schobel SA, Chaudhury NH, Khan UA, et al.: Imaging patients with psychosis and a mouse model establishes a spreading pattern of hippocampal dysfunction and implicates glutamate as a driver. Neuron 2013; 78:81–93Crossref, MedlineGoogle Scholar

94 Bogerts B, Ashtari M, Degreef G, et al.: Reduced temporal limbic structure volumes on magnetic resonance images in first episode schizophrenia. Psychiatry Res 1990; 35:1–13Crossref, MedlineGoogle Scholar

95 Velakoulis D, Pantelis C, McGorry PD, et al.: Hippocampal volume in first-episode psychoses and chronic schizophrenia: a high-resolution magnetic resonance imaging study. Arch Gen Psychiatry 1999; 56:133–141Crossref, MedlineGoogle Scholar

96 Lawrie SM, Whalley HC, Abukmeil SS, et al.: Temporal lobe volume changes in people at high risk of schizophrenia with psychotic symptoms. Br J Psychiatry 2002; 181:138–143Crossref, MedlineGoogle Scholar

97 Hirayasu Y, Shenton ME, Salisbury DF, et al.: Lower left temporal lobe MRI volumes in patients with first-episode schizophrenia compared with psychotic patients with first-episode affective disorder and normal subjects. Am J Psychiatry 1998; 155:1384–1391LinkGoogle Scholar

98 Egerton A, Chaddock CA, Winton-Brown TT, et al.: Presynaptic striatal dopamine dysfunction in people at ultra-high risk for psychosis: findings in a second cohort. Biol Psychiatry 2013; 74:106–112Crossref, MedlineGoogle Scholar

99 Howes OD, Montgomery AJ, Asselin MC, et al.: Elevated striatal dopamine function linked to prodromal signs of schizophrenia. Arch Gen Psychiatry 2009; 66:13–20Crossref, MedlineGoogle Scholar

100 Howes OD, Bose SK, Turkheimer F, et al.: Dopamine synthesis capacity before onset of psychosis: a prospective [18F]-DOPA PET imaging study. Am J Psychiatry 2011; 168:1311–1317LinkGoogle Scholar

101 Manoach DS, Pan JQ, Purcell SM, et al.: Reduced Sleep spindles in schizophrenia: a treatable endophenotype that links risk genes to impaired cognition? Biol Psychiatry 2016; 80:599–608Crossref, MedlineGoogle Scholar

102 Schobel SA, Lewandowski NM, Corcoran CM, et al.: Differential targeting of the CA1 subfield of the hippocampal formation by schizophrenia and related psychotic disorders. Arch Gen Psychiatry 2009; 66:938–946Crossref, MedlineGoogle Scholar

103 de la Fuente-Sandoval C, León-Ortiz P, Azcárraga M, et al.: Striatal glutamate and the conversion to psychosis: a prospective 1H-MRS imaging study. Int J Neuropsychopharmacol 2013; 16:471–475Crossref, MedlineGoogle Scholar

104 de la Fuente-Sandoval C, León-Ortiz P, Favila R, et al.: Higher levels of glutamate in the associative-striatum of subjects with prodromal symptoms of schizophrenia and patients with first-episode psychosis. Neuropsychopharmacology 2011; 36:1781–1791Crossref, MedlineGoogle Scholar

105 de la Fuente-Sandoval C, Reyes-Madrigal F, Mao X, et al.: Cortico-striatal GABAergic and glutamatergic dysregulations in subjects at ultra-high risk for psychosis investigated with proton magnetic resonance spectroscopy. Int J Neuropsychopharmacol 2015; 19:pyv105Crossref, MedlineGoogle Scholar

106 Bodatsch M, Ruhrmann S, Wagner M, et al.: Prediction of psychosis by mismatch negativity. Biol Psychiatry 2011; 69:959–966Crossref, MedlineGoogle Scholar

107 Perez VB, Woods SW, Roach BJ, et al.: Automatic auditory processing deficits in schizophrenia and clinical high-risk patients: forecasting psychosis risk with mismatch negativity. Biol Psychiatry 2014; 75:459–469Crossref, MedlineGoogle Scholar

108 Walker EF, Trotman HD, Pearce BD, et al.: Cortisol levels and risk for psychosis: initial findings from the North American Prodrome Longitudinal Study. Biol Psychiatry 2013; 74:410–417Crossref, MedlineGoogle Scholar

109 Bedi G, Carrillo F, Cecchi GA, et al.: Automated analysis of free speech predicts psychosis onset in high-risk youths. NPJ Schizophr 2015; 1:15030Crossref, MedlineGoogle Scholar

110 Anticevic A, Haut K, Murray JD, et al.: Association of thalamic dysconnectivity and conversion to psychosis in youth and young adults at elevated clinical risk. JAMA Psychiatry 2015; 72:882–891Crossref, MedlineGoogle Scholar

111 Perkins DO, Jeffries CD, Addington J, et al.: Towards a psychosis risk blood diagnostic for persons experiencing high-risk symptoms: preliminary results from the NAPLS project. Schizophr Bull 2015; 41:419–428Crossref, MedlineGoogle Scholar

112 Chung Y, Addington J, Bearden CE, et al.: Use of machine learning to determine deviance in neuroanatomical maturity associated with future psychosis in youths at clinically high risk. JAMA Psychiatry 2018; 75:960–968Crossref, MedlineGoogle Scholar

113 Cassidy CM, Zucca FA, Girgis RR, et al.: Neuromelanin-sensitive MRI as a noninvasive proxy measure of dopamine function in the human brain. Proc Natl Acad Sci USA 2019; 116:5108–5117Crossref, MedlineGoogle Scholar

114 Grace AA: Phasic versus tonic dopamine release and the modulation of dopamine system responsivity: a hypothesis for the etiology of schizophrenia. Neuroscience 1991; 41:1–24Crossref, MedlineGoogle Scholar

115 Grace AA: Dysregulation of the dopamine system in the pathophysiology of schizophrenia and depression. Nat Rev Neurosci 2016; 17:524–532Crossref, MedlineGoogle Scholar

116 Kegeles LS, Abi-Dargham A, Frankle WG, et al.: Increased synaptic dopamine function in associative regions of the striatum in schizophrenia. Arch Gen Psychiatry 2010; 67:231–239Crossref, MedlineGoogle Scholar

117 Mizrahi R, Kenk M, Suridjan I, et al.: Stress-induced dopamine response in subjects at clinical high risk for schizophrenia with and without concurrent cannabis use. Neuropsychopharmacology 2014; 39:1479–1489Crossref, MedlineGoogle Scholar

118 Weinstein JJ, Chohan MO, Slifstein M, et al.: Pathway-specific dopamine abnormalities in schizophrenia. Biol Psychiatry 2017; 81:31–42Crossref, MedlineGoogle Scholar

119 Kalivas PW: Development and expression of behavioral sensitization: temporal profile of changes in gene expression, in Molecular Biology of Drug Addiction. Edited by Maldonado R. Totowa, NJ, Humana Press, 2003, pp 161–169Google Scholar

120 Feinberg I: Schizophrenia: caused by a fault in programmed synaptic elimination during adolescence? J Psychiatr Res 1982–1983; 17:319–334Crossref, MedlineGoogle Scholar

121 Huttenlocher PR: Synaptic density in human frontal cortex: developmental changes and effects of aging. Brain Res 1979; 163:195–205Crossref, MedlineGoogle Scholar

122 Selemon LD, Goldman-Rakic PS: The reduced neuropil hypothesis: a circuit based model of schizophrenia. Biol Psychiatry 1999; 45:17–25Crossref, MedlineGoogle Scholar

123 Keshavan MS, Anderson S, Pettegrew JW: Is schizophrenia due to excessive synaptic pruning in the prefrontal cortex? The Feinberg hypothesis revisited. J Psychiatr Res 1994; 28:239–265Crossref, MedlineGoogle Scholar

124 Sekar A, Bialas AR, de Rivera H, et al.: Schizophrenia risk from complex variation of complement component 4. Nature 2016; 530:177–183Crossref, MedlineGoogle Scholar

125 Schafer DP, Lehrman EK, Kautzman AG, et al.: Microglia sculpt postnatal neural circuits in an activity and complement-dependent manner. Neuron 2012; 74:691–705Crossref, MedlineGoogle Scholar

126 Shatz CJ: MHC class I: an unexpected role in neuronal plasticity. Neuron 2009; 64:40–45Crossref, MedlineGoogle Scholar

127 Gogtay N, Giedd JN, Lusk L, et al.: Dynamic mapping of human cortical development during childhood through early adulthood. Proc Natl Acad Sci USA 2004; 101:8174–8179Crossref, MedlineGoogle Scholar

128 Javitt DC, Zukin SR: Recent advances in the phencyclidine model of schizophrenia. Am J Psychiatry 1991; 148:1301–1308LinkGoogle Scholar

129 Moghaddam B, Javitt D: From revolution to evolution: the glutamate hypothesis of schizophrenia and its implication for treatment. Neuropsychopharmacology 2012; 37:4–15Crossref, MedlineGoogle Scholar

130 Lewis DA, Hashimoto T, Volk DW: Cortical inhibitory neurons and schizophrenia. Nat Rev Neurosci 2005; 6:312–324Crossref, MedlineGoogle Scholar

131 Benes FM, Berretta S: GABAergic interneurons: implications for understanding schizophrenia and bipolar disorder. Neuropsychopharmacology 2001; 25:1–27Crossref, MedlineGoogle Scholar

132 Krystal JH, Anticevic A, Yang GJ, et al.: Impaired tuning of neural ensembles and the pathophysiology of schizophrenia: a translational and computational neuroscience perspective. Biol Psychiatry 2017; 81:874–885Crossref, MedlineGoogle Scholar

133 Hensch TK: Critical period plasticity in local cortical circuits. Nat Rev Neurosci 2005; 6:877–888Crossref, MedlineGoogle Scholar

134 Fawcett JW, Oohashi T, Pizzorusso T: The roles of perineuronal nets and the perinodal extracellular matrix in neuronal function. Nat Rev Neurosci 2019; 20:451–465Crossref, MedlineGoogle Scholar

135 Do KQ, Cuenod M, Hensch TK: Targeting oxidative stress and aberrant critical period plasticity in the developmental trajectory to schizophrenia. Schizophr Bull 2015; 41:835–846Crossref, MedlineGoogle Scholar

136 Lieberman JA, Girgis RR, Brucato G, et al.: Hippocampal dysfunction in the pathophysiology of schizophrenia: a selective review and hypothesis for early detection and intervention. Mol Psychiatry 2018; 23:1764–1772Crossref, MedlineGoogle Scholar

137 Krystal JH, Perry EB Jr, Gueorguieva R, et al.: Comparative and interactive human psychopharmacologic effects of ketamine and amphetamine: implications for glutamatergic and dopaminergic model psychoses and cognitive function. Arch Gen Psychiatry 2005; 62:985–994Crossref, MedlineGoogle Scholar

138 Carlsson A, Waters N, Carlsson ML: Neurotransmitter interactions in schizophrenia: therapeutic implications. Biol Psychiatry 1999; 46:1388–1395Crossref, MedlineGoogle Scholar

139 Kegeles LS, Abi-Dargham A, Zea-Ponce Y, et al.: Modulation of amphetamine-induced striatal dopamine release by ketamine in humans: implications for schizophrenia. Biol Psychiatry 2000; 48:627–640Crossref, MedlineGoogle Scholar

140 Lodge DJ, Grace AA: Hippocampal dysregulation of dopamine system function and the pathophysiology of schizophrenia. Trends Pharmacol Sci 2011; 32:507–513Crossref, MedlineGoogle Scholar

141 Schizophrenia Working Group of the Psychiatric Genomics Consortium: Biological insights from 108 schizophrenia-associated genetic loci. Nature 2014; 511:421–427Crossref, MedlineGoogle Scholar

142 Small SA: Isolating pathogenic mechanisms embedded within the hippocampal circuit through regional vulnerability. Neuron 2014; 84:32–39Crossref, MedlineGoogle Scholar

143 Small SA, Schobel SA, Buxton RB, et al.: A pathophysiological framework of hippocampal dysfunction in ageing and disease. Nat Rev Neurosci 2011; 12:585–601Crossref, MedlineGoogle Scholar

144 Ho NF, Iglesias JE, Sum MY, et al.: Progression from selective to general involvement of hippocampal subfields in schizophrenia. Mol Psychiatry 2017; 22:142–152Crossref, MedlineGoogle Scholar

145 National Collaborating Centre for Mental Health (UK): Section 5: Preventing psychosis and schizophrenia: treatment of at risk mental states, in Psychosis and Schizophrenia in Adults: Treatment and Management, Updated Edition (NICE Clinical Guidelines, No 178). London, National Collaborating Centre for Mental Health, 2014Google Scholar

146 Lehmann HE, Hanrahan GE: Chlorpromazine: new inhibiting agent for psychomotor excitement and manic states. AMA Arch Neurol Psychiatry 1954; 71:227–237Crossref, MedlineGoogle Scholar

147 Delay J, Deniker P: Neuroleptic effects of chlorpromazine in therapeutics of neuropsychiatry. J Clin Exp Psychopathol 1955; 16:104–112MedlineGoogle Scholar

148 Seeman P, Lee T: Antipsychotic drugs: direct correlation between clinical potency and presynaptic action on dopamine neurons. Science 1975; 188:1217–1219Crossref, MedlineGoogle Scholar

149 Meltzer HY, Stahl SM: The dopamine hypothesis of schizophrenia: a review. Schizophr Bull 1976; 2:19–76Crossref, MedlineGoogle Scholar

150 Huber G: Pneumoencephalographische und psychopathologische bilder bei endogen psychosen. Berlin, Springer, 1957CrossrefGoogle Scholar

151 Haug JO: Pneumoencephalographic evidence of brain atrophy in acute and chronic schizophrenic patients. Acta Psychiatr Scand 1982; 66:374–383Crossref, MedlineGoogle Scholar

152 Johnstone EC, Crow TJ, Frith CD, et al.: Cerebral ventricular size and cognitive impairment in chronic schizophrenia. Lancet 1976; 2:924–926Crossref, MedlineGoogle Scholar

153 Weinberger DR, Torrey EF, Neophytides AN, et al.: Lateral cerebral ventricular enlargement in chronic schizophrenia. Arch Gen Psychiatry 1979; 36:735–739Crossref, MedlineGoogle Scholar

154 Carpenter WT Jr, Strauss JS, Bartko JJ: Flexible system for the diagnosis of schizophrenia: report from the WHO International Pilot Study of Schizophrenia. Science 1973; 182:1275–1278Crossref, MedlineGoogle Scholar

155 Andreasen NC, Olsen S: Negative v positive schizophrenia: definition and validation. Arch Gen Psychiatry 1982; 39:789–794Crossref, MedlineGoogle Scholar

156 Nuechterlein KH, Dawson ME, Gitlin M, et al.: Developmental processes in schizophrenic disorders: longitudinal studies of vulnerability and stress. Schizophr Bull 1992; 18:387–425Crossref, MedlineGoogle Scholar

157 Norman RM, Manchanda R, Malla AK, et al.: Symptom and functional outcomes for a 5 year early intervention program for psychoses. Schizophr Res 2011; 129:111–115Crossref, MedlineGoogle Scholar

158 DeLisi LE, Sakuma M, Tew W, et al.: Schizophrenia as a chronic active brain process: a study of progressive brain structural change subsequent to the onset of schizophrenia. Psychiatry Res 1997; 74:129–140Crossref, MedlineGoogle Scholar

159 Lieberman JA: Is schizophrenia a neurodegenerative disorder? A clinical and neurobiological perspective. Biol Psychiatry 1999; 46:729–739Crossref, MedlineGoogle Scholar

160 Krystal JH, Karper LP, Seibyl JP, et al.: Subanesthetic effects of the noncompetitive NMDA antagonist, ketamine, in humans: psychotomimetic, perceptual, cognitive, and neuroendocrine responses. Arch Gen Psychiatry 1994; 51:199–214Crossref, MedlineGoogle Scholar

161 Olney JW, Farber NB: Glutamate receptor dysfunction and schizophrenia. Arch Gen Psychiatry 1995; 52:998–1007Crossref, MedlineGoogle Scholar

162 Goff DC, Coyle JT: The emerging role of glutamate in the pathophysiology and treatment of schizophrenia. Am J Psychiatry 2001; 158:1367–1377LinkGoogle Scholar

163 Lieberman J, Bogerts B, Degreef G, et al.: Qualitative assessment of brain morphology in acute and chronic schizophrenia. Am J Psychiatry 1992; 149:784–794LinkGoogle Scholar

164 Lieberman J, Chakos M, Wu H, et al.: Longitudinal study of brain morphology in first episode schizophrenia. Biol Psychiatry 2001; 49:487–499Crossref, MedlineGoogle Scholar

165 Gur RE, Cowell P, Turetsky BI, et al.: A follow-up magnetic resonance imaging study of schizophrenia: relationship of neuroanatomical changes to clinical and neurobehavioral measures. Arch Gen Psychiatry 1998; 55:145–152Crossref, MedlineGoogle Scholar

166 Andreasen NC, Nopoulos P, Magnotta V, et al.: Progressive brain change in schizophrenia: a prospective longitudinal study of first-episode schizophrenia. Biol Psychiatry 2011; 70:672–679Crossref, MedlineGoogle Scholar

167 McGlashan TH, Miller TJ, Woods SW: Pre-onset detection and intervention research in schizophrenia psychoses: current estimates of benefit and risk. Schizophr Bull 2001; 27:563–570Crossref, MedlineGoogle Scholar

168 Ferrarelli F, Huber R, Peterson MJ, et al.: Reduced sleep spindle activity in schizophrenia patients. Am J Psychiatry 2007; 164:483–492LinkGoogle Scholar

169 Stone JM, Day F, Tsagaraki H, et al.: Glutamate dysfunction in people with prodromal symptoms of psychosis: relationship to gray matter volume. Biol Psychiatry 2009; 66:533–539Crossref, MedlineGoogle Scholar

170 Bossong MG, Antoniades M, Azis M, et al.: Association of hippocampal glutamate levels with adverse outcomes in individuals at clinical high risk for psychosis. JAMA Psychiatry 2019; 76:199–207Crossref, MedlineGoogle Scholar

171 McGorry PD, Yung AR, Phillips LJ, et al.: Randomized controlled trial of interventions designed to reduce the risk of progression to first-episode psychosis in a clinical sample with subthreshold symptoms. Arch Gen Psychiatry 2002; 59:921–928Crossref, MedlineGoogle Scholar

172 Morrison AP, French P, Parker S, et al.: Three-year follow-up of a randomized controlled trial of cognitive therapy for the prevention of psychosis in people at ultrahigh risk. Schizophr Bull 2007; 33:682–687Crossref, MedlineGoogle Scholar

173 Morrison AP, French P, Walford L, et al.: Cognitive therapy for the prevention of psychosis in people at ultra-high risk: randomised controlled trial. Br J Psychiatry 2004; 185:291–297Crossref, MedlineGoogle Scholar

174 McGlashan TH, Zipursky RB, Perkins D, et al.: Randomized, double-blind trial of olanzapine versus placebo in patients prodromally symptomatic for psychosis. Am J Psychiatry 2006; 163:790–799LinkGoogle Scholar

175 Amminger GP, Schäfer MR, Papageorgiou K, et al.: Long-chain omega-3 fatty acids for indicated prevention of psychotic disorders: a randomized, placebo-controlled trial. Arch Gen Psychiatry 2010; 67:146–154Crossref, MedlineGoogle Scholar

176 McGorry PD, Nelson B, Phillips LJ, et al.: Randomized controlled trial of interventions for young people at ultra-high risk of psychosis: twelve-month outcome. J Clin Psychiatry 2013; 74:349–356Crossref, MedlineGoogle Scholar

177 Yung AR, Phillips LJ, Nelson B, et al.: Randomized controlled trial of interventions for young people at ultra high risk for psychosis: 6-month analysis. J Clin Psychiatry 2011; 72:430–440Crossref, MedlineGoogle Scholar

178 Addington J, Epstein I, Liu L, et al.: A randomized controlled trial of cognitive behavioral therapy for individuals at clinical high risk of psychosis. Schizophr Res 2011; 125:54–61Crossref, MedlineGoogle Scholar

179 Bechdolf A, Wagner M, Ruhrmann S, et al.: Preventing progression to first-episode psychosis in early initial prodromal states. Br J Psychiatry 2012; 200:22–29Crossref, MedlineGoogle Scholar

180 van der Gaag M, Nieman DH, Rietdijk J, et al.: Cognitive behavioral therapy for subjects at ultrahigh risk for developing psychosis: a randomized controlled clinical trial. Schizophr Bull 2012; 38:1180–1188Crossref, MedlineGoogle Scholar

181 Morrison AP, French P, Stewart SL, et al.: Early detection and intervention evaluation for people at risk of psychosis: multisite randomised controlled trial. BMJ 2012; 344:e2233Crossref, MedlineGoogle Scholar

182 Woods SW, Walsh BC, Hawkins KA, et al.: Glycine treatment of the risk syndrome for psychosis: report of two pilot studies. Eur Neuropsychopharmacol 2013; 23:931–940Crossref, MedlineGoogle Scholar

183 O’Brien MP, Miklowitz DJ, Candan KA, et al.: A randomized trial of family focused therapy with populations at clinical high risk for psychosis: effects on interactional behavior. J Consult Clin Psychol 2014; 82:90–101Crossref, MedlineGoogle Scholar

184 Piskulic D, Barbato M, Liu L, et al.: Pilot study of cognitive remediation therapy on cognition in young people at clinical high risk of psychosis. Psychiatry Res 2015; 225:93–98Crossref, MedlineGoogle Scholar

185 Kantrowitz JT, Woods SW, Petkova E, et al.: D-serine for the treatment of negative symptoms in individuals at clinical high risk of schizophrenia: a pilot, double-blind, placebo-controlled, randomised parallel group mechanistic proof-of-concept trial. Lancet Psychiatry 2015; 2:403–412Crossref, MedlineGoogle Scholar

186 Loewy R, Fisher M, Schlosser DA, et al.: Intensive auditory cognitive training improves verbal memory in adolescents and young adults at clinical high risk for psychosis. Schizophr Bull 2016; 42(suppl 1):S118–S126Crossref, MedlineGoogle Scholar

187 Stain HJ, Bucci S, Baker AL, et al.: A randomised controlled trial of cognitive behaviour therapy versus non-directive reflective listening for young people at ultra high risk of developing psychosis: the detection and evaluation of psychological therapy (DEPTh) trial. Schizophr Res 2016; 176:212–219Crossref, MedlineGoogle Scholar

188 McGorry PD, Nelson B, Markulev C, et al.: Effect of ω-3 polyunsaturated fatty acids in young people at ultrahigh risk for psychotic disorders: the NEURAPRO randomized clinical trial. JAMA Psychiatry 2017; 74:19–27Crossref, MedlineGoogle Scholar

189 Bhattacharyya S, Wilson R, Appiah-Kusi E, et al.: Effect of cannabidiol on medial temporal, midbrain, and striatal dysfunction in people at clinical high risk of psychosis: a randomized clinical trial. JAMA Psychiatry 2018; 75:1107–1117Crossref, MedlineGoogle Scholar

190 Tsuang MT, Winokor G: Criteria for subtyping schizophrenia: clinical differentiation of hebephrenic and paranoid schizophrenia. Arch Gen Psychiatry 1974; 31:43–47Crossref, MedlineGoogle Scholar

191 Pfohl B, Winokur G: The evolution of symptoms in institutionalized hebephrenic/catatonic schizophrenics. Br J Psychiatry 1982; 141:567–572Crossref, MedlineGoogle Scholar