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Abstract

OBJECTIVE: Subcortical ischemic vascular lesions, which are closely related to small vessel disease, are a common substrate of cognitive impairment and dementia. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a monogenic variant of small vessel disease resulting from mutations in NOTCH3. Mutation carriers almost invariably develop cognitive deficits and eventually dementia. The current study describes the profile of cognitive abnormalities in CADASIL subjects. METHOD: A cross-sectional study of 65 mutation carriers (mean age=47.3 years, SD=10.5) and 30 matched comparison subjects (mean age=47.2 years, SD=14.0) was conducted. Participants underwent a series of assessments that included ratings of global cognition, the cognitive portion of the Vascular Dementia Assessment Scale, and specific tests of executive function and attention with measures of processing speed and error monitoring. RESULTS: CADASIL subjects had pronounced impairments of the timed measures (Stroop II and III, Trail Making Test, symbol digit, digit cancellation). Measures of error monitoring (Stroop III, Trail Making Test, symbol digit, maze task) were also significantly affected but to a lesser extent. Prominent deficits further included verbal fluency and ideational praxis. Recall, orientation, and receptive language skills were largely preserved. Subgroup analyses indicated a similar profile in subjects with early and advanced impairment of global cognitive performance. CONCLUSIONS: The findings highlight processing speed as the most substantial area of cognitive impairment in CADASIL subjects, with less pronounced yet significant deficits in other aspects of executive performance and attention. This profile of cognitive impairment is present at an early stage and enables the construction of targeted test batteries for clinical trials. It is hypothesized that the profile of dysfunction described here represents the core of the cognitive syndrome associated with small vessel disease and subcortical ischemic vascular lesions.

Vascular dementia is the second most frequent cause of dementia following Alzheimer’s disease (1). Moreover, concurrent vascular pathology is present in 40% or more of Alzheimer’s disease patients (2, 3), having an impact upon the clinical features (4) and the threshold of Alzheimer’s disease pathology required for dementia to occur (5). Cerebrovascular disease hence plays an important role in the majority of people with dementia. Yet, there are a number of mechanisms that may contribute individually or in combination to cognitive impairment in patients with cerebrovascular disease. They include large infarcts, multiple infarcts, strategic infarcts, and incomplete ischemic lesions of subcortical white matter (3, 6–8).

In comparison with Alzheimer’s disease patients, those with a diagnosis of vascular dementia display a relative preservation of episodic memory but greater impairments of verbal fluency and frontal executive functioning (911). However, the pathological heterogeneity of vascular dementia causes considerable difficulty in defining the clinical syndrome and associated neuropsychological impairments and how these relate to the specific key types of vascular lesion (7). Despite these difficulties, concepts pertaining to distinct subtypes of vascular dementia have been developed. The best established of these is subcortical ischemic vascular dementia, which describes vascular dementia related to small vessel disease that combines the overlapping clinical syndromes of “Binswanger’s disease” and “lacunar state” (6, 12).

Subcortical ischemic vascular dementia is hypothesized to be caused by a loss of subcortical neurons or disconnection of cortical neurons from subcortical structures. The neuropsychological profile is described as characteristic of a dysexecutive syndrome (difficulties in goal formulation, initiation, planning, organizing, sequencing, set-shifting, and abstracting), with slowed cognitive and motor processing speed as well as more general attentional impairments (3, 6, 12). It has further been proposed that memory deficits with impaired recall but relatively intact recognition are part of the syndrome.

This profile has emerged mainly from studies that have combined neuropsychological and neuroimaging data (1317). In fact, many of these observations suggest that subcortical ischemic vascular dementia is a distinct clinical and neuropathological syndrome (3, 6, 12). This is difficult to substantiate, however, since the majority of patients with dementia are in older age groups and at high risk of concurrent pathologies (3, 6, 12).

Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a monogenic variant of small vessel disease caused by mutations in the NOTCH3 gene (18). Patients develop early and recurrent strokes as well as cognitive deficits that eventually lead to dementia (19, 20). Advanced cases are clinically indistinguishable from sporadic “Binswanger’s disease” (21). Similarly, histopathology shows a combination of small subcortical infarcts and incomplete ischemic lesions of the white matter and subcortical gray matter. CADASIL is hence an archetype of “pure” subcortical ischemic vascular dementia. Patients have a clearly defined vasculopathy, the diagnosis can be established with high accuracy in vivo (100% specificity), and, because of the younger age of these patients, concurrent pathology that could have an impact on cognition is unusual. In addition, mutational screening enables the reliable identification of presymptomatic or early symptomatic cases. Therefore, CADASIL provides a unique opportunity to address many of the issues related to subcortical ischemic vascular lesions and the concept of subcortical ischemic vascular dementia in rather the same way as studies of familial Alzheimer’s disease have provided valuable information about Alzheimer’s disease (22, 23).

There are few specific studies that have reported neuropsychological findings in CADASIL subjects. In a series of eight mutation carriers without dementia, deficits were identified on the Wisconsin Card Sorting Test and Trail Making Test in the majority of individuals (24). Other small preliminary case reports have also suggested a prominent disturbance of frontal-executive performance (25). A recent more systematic study compared cognitive performance in 34 CADASIL patients (13 prestroke and 13 poststroke patients and eight with dementia) and 15 comparison subjects (26). Deficits in short-term memory (digits forward) and working memory (digits backward, Rey-Osterrieth memory test) were evident in the CADASIL patients who had not experienced a stroke. Among patients who had experienced a stroke, impairments in cognitive processing speed and set shifting (Trail Making Test part B) were identified. Recall, however, was still preserved even in the group with dementia. Given the prominence of slowed cognitive processing in patients with sporadic subcortical ischemic vascular dementia (27, 28), it is slightly surprising that slowed processing speed was not an earlier feature in patients with CADASIL (26).

The aims of the present study were twofold. First, we wanted to describe the profile of cognitive abnormalities in CADASIL subjects. Second, we wanted to test the hypothesis that cognitive impairment related to small vessel disease is characterized by a particular cognitive profile with executive and attentional dysfunction including slowed processing speed. To address these issues, we prospectively studied a large number of unselected mutation carriers and matched comparison subjects using a predefined protocol and comprehensive neuropsychological test battery. To provide additional information about the cognitive profile in early and advanced cases, we also undertook analyses of subsets of subjects grouped by global cognitive performance.

Method

Subjects

Sixty-five CADASIL subjects from 51 unrelated families were included in the study, with a diagnosis of CADASIL established by mutational screening of the NOTCH3 gene (29, 30). All patients were able to perform the testing procedure (no exclusions due to aphasia, motor deficits affecting the dominant hand, or severe dementia). None of the patients had experienced a stroke within the preceding 3 months, and there were no cases of alcoholism, drug abuse, or organic brain disease other than CADASIL. None of the patients was receiving cholinergic therapies. All CADASIL subjects underwent brain magnetic resonance imaging, which showed CADASIL-typical microangiopathic changes in the absence of territorial infarctions or other structural brain lesions.

The comparison group consisted of 30 healthy subjects (mostly spouses of CADASIL patients) who were matched in terms of age, gender, and educational level. Informed consent was obtained from all participants (or caregivers in the case of dementia) after the procedures of the study had been fully explained. The study was approved by the local ethics committee.

Data Acquisition

Subjects were prospectively enrolled at a single institution (Department of Neurology, Klinikum Grosshadern, Ludwig-Maximilians-University, Munich) between March 2002 and August 2003. All CADASIL subjects were examined by a trained neurologist. They all received a complete physical and neurological examination that included assessment with the NIH stroke scale (31). Their dominant hand was established, and particular attention was paid to symptoms affecting their dominant upper extremity. Disability was rated with the modified Rankin scale (32) and the Barthel Index (33).

Neuropsychological testing was performed by a trained psychometrist in a quiet, well-illuminated room. All participants underwent detailed neuropsychological testing with the following battery of psychometric tests adapted for use with native German speakers:

1.

Global measures of cognitive function: Mini-Mental State Examination (MMSE) (34), Mattis Dementia Rating Scale (35), and the cognitive subscale of the Alzheimer’s Disease Assessment Scale (part of the Vascular Dementia Assessment Scale [36]).

2.

Standardized assessment of vascular dementia: the cognitive portion of the Vascular Dementia Assessment Scale (36), which includes the following items/tests: word recall, commands, constructional praxis (figures), delayed word recall, naming (figures and fingers), ideational praxis, orientation, word recognition, symbol digit modalities, digits backward, maze task, digit cancellation task, verbal fluency, remembering test instructions, spoken language ability, word finding difficulty, comprehension, and concentration/distractibility.

3.

Specific “frontal” tests with an emphasis on executive function including error monitoring and processing speed: Stroop test (37) and Trail Making Test parts A and B (38).

Data Analysis

To obtain an overview on the pattern of performance across cognitive processes and to address the issue of selectivity of deficits, we generated z scores using the mean values and standard deviations of the healthy group. The use of z scores enables direct comparison of performance in different cognitive domains.

To evaluate the pattern of cognitive performance in CADASIL subjects with mild to moderate impairment in global cognitive performance relative to those with severe impairment, subjects were divided into two groups according to their Mattis Dementia Rating Scale score using the widely accepted cutoff values (≤122 and ≥123). The Mattis Dementia Rating Scale score was used exclusively for classifying patients, i.e., it was not part of the data analyzed.

Group comparisons between CADASIL subjects and healthy subjects were undertaken using the Mann-Whitney U test. To account for multiple testing a p value <0.005 was considered significant. Statistical analysis was completed by using SPSS software version 12.01 for Windows.

Results

Demographic Characteristics

Demographic characteristics of the 65 CADASIL subjects and 30 healthy comparison individuals are illustrated in Table 1. There was no significant difference between the two groups with respect to age, sex distribution, and years of education. At the time of investigation 56 (86%) of the CADASIL subjects had become symptomatic, and nine (14%) were asymptomatic. Forty-four (68%) individuals had experienced a transient ischemic attack or stroke. Manifestations further included migraine with aura (39%), psychiatric disturbance (mostly mild depression) (42%), and epileptic seizures (one patient). Global cognitive performance, as assessed by the MMSE and Mattis Dementia Rating Scale, was significantly more impaired in CADASIL subjects than comparison subjects (both p<0.005). Nine (14%) of the 65 CADASIL subjects had a Mattis Dementia Rating Scale score below the traditional cutoff value (≤122).

Cognitive Performance Profile

The cognitive evaluations of the CADASIL and comparison subjects are shown in Table 2. CADASIL subjects were significantly more impaired than healthy subjects for all of the following items: the timed measures of the Stroop II, Stroop III, Trail Making Test parts A and B; the error measure of the Trail Making Test B; the correct responses on the symbol digit and digit cancellation task, and the verbal fluency task (all p<0.005).

The differential magnitude of impairment in different aspects of cognition is profiled in Figure 1, which displays the mean z scores achieved by CADASIL subjects relative to comparison subjects. Apart from the pronounced areas of deficit emphasized in Table 2, impairments were also evident on ideational praxis, with some but less marked impairments of other aspects of performance. Memory (delayed recall, remembering test instructions) was relatively preserved. Orientation and receptive language skills (commands) were also largely unaffected. The same pattern was obtained if all subjects with neurological symptoms affecting their dominant arm were excluded (data not shown).

Subgroup Analyses

To explore the pattern of cognitive abnormalities in different disease stages, we looked at the effect of global cognitive performance as assessed by the Mattis Dementia Rating Scale on the different cognitive domains. Figure 2 shows the z scores for CADASIL subjects with no or mild impairment of global cognitive performance (Mattis Dementia Rating Scale score ≥123, mean age=46.5 years, SD=10.6) and those with advanced deficits (Mattis Dementia Rating Scale score ≤122, mean age=52.8 years, SD=8.4). As shown in the figure, the profile of deficits was very similar in both groups. Also, all variables significantly different between the overall group of CADASIL subjects and healthy subjects (Stroop II [time], Stroop III [time], Trail Making Test A [time], Trail Making Test B [time], Trail Making Test B [errors], symbol digit [correct], digit cancellation [correct], and verbal fluency task) remained significant in CADASIL subjects with early cognitive impairment (Mattis Dementia Rating Scale ≥123) (Figure 2 and Table 3).

Discussion

In the largest study so far to examine cognitive function in CADASIL patients, significantly greater impairments were evident for the time and error measures of the Stroop and Trail Making Test tasks and other tasks of processing speed relative to age-matched comparison subjects. Thus, deficits of executive function and cognitive processing speed are emphasized as the characteristic cognitive hallmarks of the condition. We also observed significant decrements in ideational praxis, probably because of executive processes needed to plan and engage in abstract tasks (39). Of importance is that this profile of deficits was evident even in patients with mild overall impairment. There was no significant difference from comparison subjects in performance on delayed recall tasks or orientation. The findings suggest that there is a clear and specific pattern of neuropsychological deficits in CADASIL patients that is distinct from that seen in other conditions with impairment of higher cortical functions, such as Alzheimer’s disease. In fact, our data suggest a double dissociation regarding processing speed and recall in CADASIL and Alzheimer’s disease, the latter of which is characterized by early deficits in recall but relatively preserved processing speed. These results suggest that sensitive tests of processing speed and error monitoring are likely to be particularly useful for the identification of early cognitive deficits and for monitoring change.

In the current study, timed tasks from the Stroop and Trail Making assessments were sensitive discriminators between CADASIL patients and comparison subjects and were internally consistent with other speed tasks such as the symbol digit and digit cancellation tasks (40, 41), even in subjects with early cognitive impairment. There was also a consistent pattern of impairment in tasks of planning and error monitoring. This characteristic pattern of cognitive deficits is broadly similar to that reported in the only previous published study with a substantial cohort (26). For example, both studies are consistent with regard to the Trail Making Test B error score and relative preservation of recall. However, there are several important differences. In the Amberla et al. study (26), which included 34 CADASIL subjects and 15 comparison subjects, no significant differences were found in the timed component of the Trail Making Test part A, and differences in the timed component of the Trail Making Test part B were observed only for the poststroke patients. The studies are also discrepant with regard to the presence of deficits in verbal fluency and constructional praxis. These discrepancies may be explained in part by different methods of assessment. For example, the present study used a category fluency test, whereas Amberla et al. used a letter fluency task; previous studies support greater impairments of category fluency than letter fluency in vascular dementia (42). Some of the other observed differences might further relate to differences between populations, such as a higher proportion of stroke cases in the current study. However, they may also be due to a type 2 error in the Amberla et al. study, which undertook the statistical evaluation based upon small patient subgroups that may have limited the power to detect differences.

CADASIL is an archetype of pure small vessel disease and hence pure subcortical ischemic vascular dementia. The profile of cognitive impairment identified in this study allows us to make some inferences about the core of the cognitive syndrome attributable to subcortical ischemic lesions. This is important because there is considerable heterogeneity of vascular pathology in dementia patients and frequent overlap with neurodegenerative changes, making it difficult to clarify the neuropathological substrates of specific aspects of cognitive dysfunction (43). The observed pattern may be explained in large part by the disruption of specific prefrontal-subcortical circuits by ischemic lesions (4448). These circuits involve multiple transmitter systems, offering potential therapeutic opportunities. Thus, for example, there is evidence for a localized cholinergic deficit related to the disruption of specific white matter tracts in CADASIL (49). Such findings may be important for generating treatment approaches to CADASIL and a broader population of patients with subcortical ischemic vascular dementia.

The current study has several methodological strengths. First, neuropsychological evaluations were undertaken on a large cohort of patients with genetically proven CADASIL who were compared to a matched group. Second, we carefully controlled for a possible confounding effect of motor deficits affecting the dominant hand. Third, the battery of cognitive tests covered specific domains hypothesized to be impaired in subcortical ischemic vascular dementia and included instruments that are widely used in dementia studies. Thus, we consider it unlikely that the selection of tests biased the apparent profile of cognitive impairments. These methodological aspects, together with the internal consistency of the data, strongly indicate that the findings are robust.

In summary, the current study highlights a specific profile of neuropsychological deficits evident in CADASIL. This profile enables the construction of targeted cognitive test batteries relevant to clinical trials. Our data further provide information about the spectrum of cognitive deficits attributable to small vessel disease and subcortical ischemic lesions. Studies focusing on more targeted tests of executive function and memory may further enhance our understanding of subcortical ischemic vascular dementia.

TABLE 1
TABLE 2
TABLE 3

Received Oct. 16, 2004; revision received Dec. 15, 2004; accepted Dec. 28, 2004. From the Department of Neurology, Ludwig-Maximilians-University; and the University of Newcastle Upon Tyne Department of Neurology, Neurobiology, and Psychiatry, Newcastle Upon Tyne, U.K. Address correspondence and reprint request to Dr. Dichgans, Department of Neurology, Klinikum Grosshadern, Ludwig-Maximilians-University, Marchioninistrasse 15, D-81377 Munich, Germany; (e-mail). This study was supported by the Deutsche Forschungsgemeinschaft (DFG grant Di722/3-1) and Klinische Forschergruppe “Molekulare Neurogenetik” (KFG K1 027 and KFG K1 028). The authors thank all the individuals who participated in this study as well as Gisela Stenglein-Krapf, Carolin v. Schlippenbach, and Thomas Göhringer for their assistance with the neuropsychological tests.

Figure 1.

Figure 1. Neuropsychological Performance Profile of 65 CADASIL Subjectsa

aMean z scores ([test score–mean test score]/SD) were calculated by using the mean values and standard deviations of the comparison group (a z score of 1 corresponds to one standard deviation from test scores in the healthy group).

*p<0.05.   **p<0.01.   ***p<0.005.

Figure 2.

Figure 2. Neuropsychological Performance Profile of CADASIL Subjects by Level of Global Cognitive Impairmenta

aPerformance measured as mean z scores. Subjects with severe impairment had a mean Mattis Dementia Rating Scale score ≤122; subjects with mild to moderate impairment had a mean Mattis Dementia Rating Scale score ≥123.

*p<0.05.   **p<0.01.   ***p<0.005.

References

1. Stevens T, Livingston G, Kitchen G, Manela M, Walker Z, Katona C: Islington study of dementia subtypes in the community. Br J Psychiatry 2002; 180:270–276Crossref, MedlineGoogle Scholar

2. Heyman A, Fillenbaum GG, Welsh-Bohmer KA, Gearing M, Mirra SS, Mohs RC, Peterson BL, Pieper CF: Cerebral infarcts in patients with autopsy-proven Alzheimer’s disease: CERAD, part XVIII. Neurology 1998; 51:159–162Crossref, MedlineGoogle Scholar

3. O’Brien JT, Erkinjuntti T, Reisberg B, Roman G, Sawada T, Pantoni L, Bowler JV, Ballard C, DeCarli C, Gorelick PB, Rockwood K, Burns A, Gauthier S, DeKosky ST: Vascular cognitive impairment. Lancet Neurol 2003; 2:89–98Crossref, MedlineGoogle Scholar

4. Esiri MM, Nagy Z, Smith MZ, Barnetson L, Smith AD: Cerebrovascular disease and threshold for dementia in the early stages of Alzheimer’s disease. Lancet 1999; 354:919–920Crossref, MedlineGoogle Scholar

5. Snowdon DA, Greiner LH, Mortimer JA, Riley KP, Greiner PA, Markesbery WR: Brain infarction and the clinical expression of Alzheimer disease: the Nun Study. JAMA 1997; 277:813–817Crossref, MedlineGoogle Scholar

6. Roman GC, Erkinjuntti T, Wallin A, Pantoni L, Chui HC: Subcortical ischaemic vascular dementia. Lancet Neurol 2002; 1:426–436Crossref, MedlineGoogle Scholar

7. Jagust W: Untangling vascular dementia. Lancet 2001; 358:2097–2098Crossref, MedlineGoogle Scholar

8. Pasquier F, Leys D: Why are stroke patients prone to develop dementia? J Neurol 1997; 244:135–142Crossref, MedlineGoogle Scholar

9. Almkvist O, Backman L, Basun H, Wahlund LO: Patterns of neuropsychological performance in Alzheimer’s disease and vascular dementia. Cortex 1993; 29:661–673Crossref, MedlineGoogle Scholar

10. Mendez MF, Ashla-Mendez M: Differences between multi-infarct dementia and Alzheimer’s disease on unstructured neuropsychological tasks. J Clin Exp Neuropsychol 1991; 13:923–932Crossref, MedlineGoogle Scholar

11. Lafosse JM, Reed BR, Mungas D, Sterling SB, Wahbeh H, Jagust WJ: Fluency and memory differences between ischemic vascular dementia and Alzheimer’s disease. Neuropsychology 1997; 11:514–522Crossref, MedlineGoogle Scholar

12. Erkinjuntti T, Inzitari D, Pantoni L, Wallin A, Scheltens P, Rockwood K, Roman GC, Chui H, Desmond DW: Research criteria for subcortical vascular dementia in clinical trials. J Neural Transm Suppl 2000; 59:23–30MedlineGoogle Scholar

13. Mungas D, Jagust WJ, Reed BR, Kramer JH, Weiner MW, Schuff N, Norman D, Mack WJ, Willis L, Chui HC: MRI predictors of cognition in subcortical ischemic vascular disease and Alzheimer’s disease. Neurology 2001; 57:2229–2235Crossref, MedlineGoogle Scholar

14. Cohen RA, Paul RH, Ott BR, Moser DJ, Zawacki TM, Stone W, Gordon N: The relationship of subcortical MRI hyperintensities and brain volume to cognitive function in vascular dementia. J Int Neuropsychol Soc 2002; 8:743–752Crossref, MedlineGoogle Scholar

15. Tierney MC, Black SE, Szalai JP, Snow WG, Fisher RH, Nadon G, Chui HC: Recognition memory and verbal fluency differentiate probable Alzheimer disease from subcortical ischemic vascular dementia. Arch Neurol 2001; 58:1654–1659Crossref, MedlineGoogle Scholar

16. Vataja R, Pohjasvaara S, Mantyla R, Ylikoski R, Leppavuori A, Leskela M, Kalska H, Hietanen M, Aronen H, Salonen O, Kaste M, Erkinjuntti T: MRI correlates of executive dysfunction in patients with ischemic stroke. Eur J Neurol 2003; 10:625–631Crossref, MedlineGoogle Scholar

17. Cannata AP, Alberoni M, Franceschi M, Mariani C: Frontal impairment in subcortical ischemic vascular dementia in comparison to Alzheimer’s disease. Dement Geriatr Cogn Disord 2002; 13:101–111Crossref, MedlineGoogle Scholar

18. Joutel A, Corpechot C, Ducros A, Vahedi K, Chabriat H, Mouton P, Alamowitch S, Domenga V, Cecillion M, Marechal E, Maciazek J, Vayssiere C, Cruaud C, Cabanis EA, Ruchoux MM, Weissenbach J, Bach JF, Bousser MG, Tournier-Lasserve E: Notch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia. Nature 1996; 383:707–710Crossref, MedlineGoogle Scholar

19. Dichgans M, Mayer M, Uttner I, Bruning R, Muller-Hocker J, Rungger G, Ebke M, Klockgether T, Gasser T: The phenotypic spectrum of CADASIL: clinical findings in 102 cases. Ann Neurol 1998; 44:731–739Crossref, MedlineGoogle Scholar

20. Chabriat H, Vahedi K, Iba-Zizen MT, Joutel A, Nibbio A, Nagy TG, Krebs MO, Julien J, Dubois B, Ducrocq X: Clinical spectrum of CADASIL: a study of 7 families: cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy. Lancet 1995; 346:934–939Crossref, MedlineGoogle Scholar

21. Caplan LR: Binswanger’s disease—revisited. Neurology 1995; 45:626–633Crossref, MedlineGoogle Scholar

22. Fox NC, Jenkins R, Leary SM, Stevenson VL, Losseff NA, Crum WR, Harvey RJ, Rossor MN, Miller DH, Thompson AJ: Progressive cerebral atrophy in MS: a serial study using registered, volumetric MRI. Neurology 2000; 54:807–812Crossref, MedlineGoogle Scholar

23. Warrington EK, Agnew SK, Kennedy AM, Rossor MN: Neuropsychological profiles of familial Alzheimer’s disease associated with mutations in the presenilin 1 and amyloid precursor protein genes. J Neurol 2001; 248:45–50Crossref, MedlineGoogle Scholar

24. Taillia H, Chabriat H, Kurtz A, Verin M, Levy C, Vahedi K, Tournier-Lasserve E, Bousser MG: Cognitive alterations in non-demented CADASIL patients. Cerebrovasc Dis 1998; 8:97–101Crossref, MedlineGoogle Scholar

25. Harris JG, Filley CM: CADASIL: neuropsychological findings in three generations of an affected family. J Int Neuropsychol Soc 2001; 7:768–774Crossref, MedlineGoogle Scholar

26. Amberla K, Waljas M, Tuominen S, Almkvist O, Poyhonen M, Tuisku S, Kalimo H, Viitanen M: Insidious cognitive decline in CADASIL. Stroke 2004; 35:1598–1602Crossref, MedlineGoogle Scholar

27. Ballard C, Stephens S, McLaren A, Wesnes K, Kenny RA, Burton E, O’Brien J, Kalaria R: Neuropsychological deficits in older stroke patients. Ann NY Acad Sci 2002; 977:179–182Crossref, MedlineGoogle Scholar

28. Burton EJ, Kenny RA, O’Brien J, Stephens S, Bradbury M, Rowan E, Kalaria R, Firbank M, Wesnes K, Ballard C: White matter hyperintensities are associated with impairment of memory, attention, and global cognitive performance in older stroke patients. Stroke 2004; 35:1270–1275Crossref, MedlineGoogle Scholar

29. Joutel A, Vahedi K, Corpechot C, Troesch A, Chabriat H, Vayssiere C, Cruaud C, Maciazek J, Weissenbach J, Bousser MG, Bach JF, Tournier-Lasserve E: Strong clustering and stereotyped nature of Notch3 mutations in CADASIL patients. Lancet 1997; 350:1511–1515Crossref, MedlineGoogle Scholar

30. Dichgans M, Ludwig H, Müller-Höcker J, Messerschmidt A, Gasser T: Small in-frame deletions and missense mutations in CADASIL: 3D models predict misfolding of Notch3 EGF-like repeat domains. Eur J Hum Genet 2000; 8:280–285Crossref, MedlineGoogle Scholar

31. Lyden P, Brott T, Tilley B, Welch KM, Mascha EJ, Levine S, Haley EC, Grotta J, Marler J (NINDS TPA Stroke Study Group): Improved reliability of the NIH Stroke Scale using video training. Stroke 1994; 25:2220–2226Crossref, MedlineGoogle Scholar

32. van Swieten JC, Koudstaal PJ, Visser MC, Schouten HJ, van Gijn J: Interobserver agreement for the assessment of handicap in stroke patients. Stroke 1988; 19:604–607Crossref, MedlineGoogle Scholar

33. Mahoney FT, Barthel DW: Functional evaluation: Barthel Index. Md Med J 1965; 14:61–65Google Scholar

34. Folstein MF, Folstein SE, McHugh PR: “Mini-Mental State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12:189–198Crossref, MedlineGoogle Scholar

35. Mattis S: Mental status examination for organic mental syndrome in the elderly patient, in Geriatric Psychiatry: A Handbook for Psychiatrists and Primary Care Physicians. Edited by Bellak L, Karasu TB. New York, Grune & Stratton, 1976, pp 77–121Google Scholar

36. Ferris S, Gauthier S: Cognitive outcome measures in vascular dementia, in Vascular Cognitive Impairment. Edited by Erkinjuntti T, Gauthier S. London, Martin Dunitz, 2002, pp 541–555Google Scholar

37. Bäumler G: Farbe-Wort-Interferenztest (FWIT) nach JR Stroop. Göttingen, Germany, Verlag für Psychologie Dr CJ Hogrefe, 1984Google Scholar

38. Reitan RM: Trail Making Test: Manual for the Administration and Scoring of the Trail Making Test. Bloomington, Indiana University, 1959Google Scholar

39. Dunn B, Owen A, Sahakian B: Neuropsychological assessment of dementia, in Dementia, 2nd ed. Edited by O’Brien J, Ames D, Burns A. London, Arnold Publishers, 2003, pp 49–60Google Scholar

40. Davis RN, Massman PJ, Doody RS: WAIS-R factor structure in Alzheimer’s disease patients: a comparison of alternative models and an assessment of their generalizability. Psychol Aging 2003; 18:836–843Crossref, MedlineGoogle Scholar

41. Parkin AJ, Java RI: Deterioration of frontal lobe function in normal aging: influences of fluid intelligence versus perceptual speed. Neuropsychology 1999; 13:539–545Crossref, MedlineGoogle Scholar

42. Carew TG, Lamar M, Cloud BS, Grossman M, Libon DJ: Impairment in category fluency in ischemic vascular dementia. Neuropsychology 1997; 11:400–412Crossref, MedlineGoogle Scholar

43. Kalaria RN, Ballard C: Overlap between pathology of Alzheimer disease and vascular dementia. Alzheimer Dis Assoc Disord 1999; 13(suppl 3):S115-S123Google Scholar

44. Ishii N, Nishihara Y, Imamura T: Why do frontal lobe symptoms predominate in vascular dementia with lacunes? Neurology 1986; 36:340–345Crossref, MedlineGoogle Scholar

45. Wolfe N, Linn R, Babikian VL, Knoefel JE, Albert ML: Frontal systems impairment following multiple lacunar infarcts. Arch Neurol 1990; 47:129–132Crossref, MedlineGoogle Scholar

46. Alexander GE, DeLong MR, Strick PL: Parallel organization of functionally segregated circuits linking basal ganglia and cortex. Annu Rev Neurosci 1986; 9:357–381Crossref, MedlineGoogle Scholar

47. Cummings JL: Frontal-subcortical circuits and human behavior. Arch Neurol 1993; 50:873–880Crossref, MedlineGoogle Scholar

48. Mega MS, Cummings JL: Frontal-subcortical circuits and neuropsychiatric disorders. J Neuropsychiatry Clin Neurosci 1994; 6:358–370Crossref, MedlineGoogle Scholar

49. Mesulam M, Siddique T, Cohen B: Cholinergic denervation in a pure multi-infarct state: observations on CADASIL. Neurology 2003; 60:1183–1185Crossref, MedlineGoogle Scholar