Patterns of Cognitive Performance in Subcortical Ischemic Vascular Disease (SIVD)
Publication: The Journal of Neuropsychiatry and Clinical Neurosciences
Abstract
Subcortical ischemic vascular disease (SIVD) is characterized by extensive white-matter lesions and lacunar infarcts in deep gray matter. The aim of this study was to investigate patterns of cognitive impairment in patients with SIVD. In a retrospective analysis, the authors compared the cognitive performance of 58 patients meeting MRI-defined criteria for SIVD (26 women; 47.3%) with age- and gender-matched control subjects. SIVD patients showed impairments in measures of verbal fluency, verbal memory, speed of cognitive processing, and divided attention. There were no significant differences in constructional praxis, figurative memory, verbal recognition memory, or semantic processing.
Vascular dementia is a heterogeneous group of diseases with a wide variety of etiological mechanisms, brain changes, and clinical manifestations.1–3 Cortical vascular dementia, strategic infarct dementia, and subcortical vascular dementia are the major subtypes of vascular dementia.4
Subcortical vascular dementia is defined by the accumulation of extensive cerebral white-matter lesions and lacunar infarcts in deep gray matter, whereby dementia is the clinical end-stage of a progressive disease.5 Strong evidence suggests the role of white-matter lesions as determinants of cognitive decline.6 Since there is growing evidence that white-matter lesions cause specific changes in neurocognitive performance in patients not meeting the diagnostic criteria for dementia, the focus in research is shifting from this late stage to the early stages of the disease. Furthermore, white-matter lesions are no longer considered an innocuous finding because they are associated, in cross-sectional surveys, with various disturbances and, in follow-up studies, with poor prognosis.7
On the basis of MRI criteria, Erkinjuntti8 introduced the concept of subcortical ischemic vascular disease (SIVD). SIVD arises from small-vessel disease and is characterized by extensive cerebral white-matter lesions and lacunar infarcts in deep gray and white matter.4 The multicentric Leukariosis and Disability Study (LADIS) described the clinical and cognitive characteristics of MRI-defined SIVD in a sample of elderly subjects. In the latter study, SIVD was associated with motor impairment, a history of falls, and subtle impairment in activities of daily living. As compared with controls, SIVD subjects performed significantly worse in tests measuring global cognitive functioning, psychomotor speed, attention, executive functions, verbal fluency, and working memory.3 In another study, SIVD was related to progressive cognitive impairment and a considerable risk of developing dementia.9 However, empirical data describing the cognitive impacts of SIVD are still sparse.
Studies investigating the impact of the accumulation of subcortical lesions on cognitive performance postulate that other confounding brain measures also affect cognition;10 these include global atrophy,11 central atrophy,12 medial temporal lobe atrophy,13 and frontal atrophy.10 Severe white-matter lesions predict cerebral atrophy,14 especially in the frontal and medial temporal lobe.15,16
In our retrospective analysis, we compared 58 patients meeting MRI-defined criteria for SIVD (26 women; 47.3%) with age- and gender-matched controls.
Methods
Subjects and Study Design
In our retrospective study-design, patients were identified who were admitted to the University Hospital of Salzburg, Department of Neurology, from June 1, 2007 to June 30, 2011. An electronic database selected patients who were free of unrelated psychiatric and neurological disease and had undergone a cerebral Magnetic Resonance Imaging (MRI) procedure with a minimum number of images and a neuropsychological examination (N=321). MRI and neuropsychological testing were performed within 3 months. Reasons for referral were planned carotid artery stenting because of asymptomatic carotid artery disease and subjective cognitive impairment. Patients’ records and results of brain MRI images were rechecked again manually (by M.S.) and the following exclusion criteria were applied: presence of severe psychiatric disease (e.g., depression, schizophrenia spectrum disorders), presence of severe unrelated central nervous disease (e.g., transient ischemic attack, stroke, multiple sclerosis, Parkinson’s disease, epilepsy) and leukoencephalopathy of non-vascular origin (e.g., immunological-demyelinating, metabolic, toxic, infectious).
SIVD patients were identified according to the brain-imaging criteria proposed by Erkinjuntti8 (N=58). The age- and gender-matched control group comprised 58 patients who did not meet the applied SIVD criteria.
Magnetic Resonance Imaging (MRI)
MRI was performed on a 3-Tesla, whole-body MRI scanner (Achieva; Philips, the Netherlands). Coronar T1-weighted images (36 slices, TR: 451 msec, TE: 13 msec, thickness: 4 mm/1, flip: 80, Turbo Factor: 1, matrix: 512, time: 2:31 minutes); axial T2 images (28 slices, TR: 3,048 msec, TE: 80 msec, thickness: 4 mm/1, Turbo factor: 15, EPI factor: 1, matrix: 512, time: 1:19 minutes); and fluid attention inversion recovery (FLAIR) axial sequences (28 slices, TR: 10,000 msec, TE: 125 msec, TI: 2,800 msec, thickness: 4 mm/1, Turbo factor: 32, EPI factor: 1, matrix: 560, time: 3:30 minutes) were required.
Medial temporal lobe atrophy was graded by two raters (M.S. and Y.K.), blinded to neuropsychological data, on a 5-point Likert-scale17 considering the width of the choroid fissure, the width of the temporal horn, and the height of the hippocampal formation. Frontal lobe atrophy was rated by two raters (M.S. and Y.K.) blinded to neuropsychological data on a visual 4-point Likert scale (none, mild, moderate, severe) considering sulcal and ventricular sizes. In case of rater disagreement, mean scores of the two ratings were used for calculation.
Changes in cerebral white matter were rated by an experienced neurologist (M.S.) and an experienced neuroradiologist (M.M.), blinded to neuropsychological data, according to the revised version of the Fazekas scale18 and classified as “none” (0; no white-matter lesions), “mild” (1; single lesions <10 mm and grouped lesions <20 mm in any diameter), “moderate” (2; single lesions 10 mm–20 mm, grouped lesions >20 mm with connecting bridges only between the individual lesions), or “severe” (3; confluent lesions with >20 mm in any diameter). In case of rater disagreement, consensus was reached in a second rating session.
MRI-defined SIVD was diagnosed according to the brain-imaging criteria proposed by Erkinjuntti,8 which include 1) cases with predominantly white-matter lesions (WML), that is, extending periventricular and deep white-matter lesions (extending caps or irregular halo and diffusely confluent hyperintensities or extensive white-matter changes) and lacunas (at least 1); and 2) cases with predominantly lacunar infarcts, that is, >5 lacunas and at least moderate WML (extending caps or irregular halo or diffusely confluent hyperintensities or extensive white-matter changes). We also required absence of cortical and/or cortico–subcortical non-lacunar territorial infarcts, watershed infarcts, hemorrhages, signs of normal-pressure hydrocephalus, and specific causes of WML of non-vascular origin (e.g., multiple sclerosis, sarcoidosis, residual lesions of vasculitis).
In case of rater disagreement, consensus was reached in a second rating session.
Neuropsychological Examination
Each patient completed the Mini-Mental State Exam,19 and the neuropsychological test battery established by the Consortium to Establish a Registry for Alzheimer's Disease (CERAD-Plus).20,21 The CERAD is composed of several subtests: Semantic Verbal Fluency (SVF), Phonemic Verbal Fluency (PVF), Boston Naming Test (BNT), Word-List Learning (WLL), Word-List Delayed Recall (WLDR), Word-List Recognition (WLR), Discriminability (D), Figure Copy (FC), Figure Recall (FR), and Trail-Making Tests–A and B (TMT-A, B).
The test battery assesses verbal fluency (SVF, PVF), constructional praxis (FC), figurative memory (FR), verbal short-term and long-term memory (WLL, WLDR, WLR), verbal recognition memory (D), semantic processing (BNT), speed of cognitive processing (TMT A), and divided attention (TMT B).
All given values are z-scores adjusted for level of education, age, and gender.
Statistical Analysis
SPSS Student Version 16.0 was used for computation. A p level <0.05 was considered to be statistically significant.
When comparing individuals with SIVD versus the non-SIVD reference group, the Mann-Whitney U test or chi-squared test were used as appropriate.
To delineate the association of white-matter lesion load with cognitive test scores, univariate analysis was used. Interobserver reliability is expressed by complete agreement in percent and kappa values.
Results
Demographic Characteristics
The 116 patients included had a median age of 79 (range: 44 to 89); 64 (52.7%) were men; 52 (47.3%) were women. The control group was well matched for age and gender (Table 1).
| No SIVD (N=58) | SIVD (N=58) | p | |
|---|---|---|---|
| Demographic variables | |||
| Age, years | 74.2 (11.4) | 74.5 (11.4) | |
| Women, N (%) | 26 (47.3) | 26 (47.3) | |
| MRI findings | |||
| White-matter lesions (Fazekas Scale)18 | |||
| None | 4 | 0 | |
| Mild | 36 | 0 | |
| Moderate | 17 | 5 | |
| Severe | 1 | 53 | |
| Medial temporal lobe atrophy | 1.56 (1.08) | 1.74 (1.21) | NS |
| Frontal atrophy | 1.66 (0.84) | 1.77 (0.96) | NS |
Values are mean (standard deviation) analyzed with Mann-Whitney U test, unless otherwise indicated.
N (%) significance values analyzed by χ2 test.
MRI Findings
When rating frontal lobe atrophy and medial temporal lobe atrophy, complete interrater agreement was reached in 72.7% and 70.9%, respectively; kappa values were 0.632 and 0.683, respectively. Rates of medial temporal lobe and frontal lobe atrophy did not differ significantly between the groups (Table 1).
Cognitive Functions
We found significant group differences between the SIVD and the non-SIVD-group on the following subtests: Semantic Verbal Fluency, Phonemic Verbal Fluency, Word-List Learning, and Trail-Making Tests A and B. No significant differences were obtained in the subtests Mini-Mental State Exam, Boston Naming Test, Word-List Delayed Recall, Word-List Recognition, Discriminability, Figure Copy, and Figure Recall (Table 2).
| No SIVD | SIVD | p | |
|---|---|---|---|
| Mini-Mental State Exam | –1.14 (1.45) | –1.40 (1.92) | NS |
| Semantic Verbal Fluency | –0.28 (1.19) | –0.87 (1.21) | 0.033 |
| Phonemic Verbal Fluency | 0.13 (1.32) | –0.42 (1.28) | 0.045 |
| Boston Naming Test | –0.12 (1.44) | –0.34 (1.38) | NS |
| Word-List Learning | –1.12 (1.44) | –1.71 (1.45) | 0.026 |
| Word-List Delayed Recall | –0.82 (1.13) | –1.30 (1.34) | 0.056 |
| Word-List Recognition | –0.48 (1.60) | –0.79 (1.76) | NS |
| Discriminability | –0.78 (1.33) | –0.71 (1.47) | NS |
| Figure Copy | –0.19 (1.61) | 0.01 (1.91) | NS |
| Figure Recall | –0.38 (1.48) | –0.55 (1.65) | NS |
| Trail-Making Test A | –0.20 (1.18) | –0.88 (1.36) | 0.009 |
| Trail-Making Test B | 0.11 (1.10) | –0.50 (1.23) | 0.030 |
Values are mean (standard deviation). Significance values analyzed by Mann-Whitney U test.
Using univariate analysis, white-matter lesion load (as measured by the Fazekas scale) is significantly associated with performance in Semantic Verbal Fluency (β = −0.256; p=0.010) and Trail-Making Test A (β = −0.290; p=0.006).
Discussion
In our study population, neuropsychological measures of SIVD-patients showed significant differences in test scores of verbal fluency, verbal memory, speed of cognitive processing, and divided attention, when compared with the age- and gender-matched non-SIVD-group. We did not find significant differences in constructional praxis, figurative memory, verbal recognition memory, or semantic processing.
Subcortical periventricular and deep white-matter lesions may cause cognitive impairments even in patients not suffering from dementia. Jokinen and co-authors4 were the first to provide a comprehensive analysis of cognitive performance in SIVD. They found impairments in executive functions and delayed recall in SIVD patients. SIVD was not associated with mental speed, short-term memory, immediate recall, or visuospatial functions. Our findings are partly in line with Jokinen et al. We also found impairments in executive functions. Although there was a non-significant trend, we did not find significantly impaired scores on delayed recall in SIVD patients. Bilino et al.22 report impaired word-list learning performance in SIVD patients. This supports our findings. Kandiah and co-authors23 compared patients with mild Alzheimer’s disease (AD) and SIVD patients suffering from mild dementia. SIVD patients with mild dementia had greater deficits in visuospatial functioning; working memory and visuomotor speed and were also more depressed than in AD patients. Executive-function tests in general did not distinguish the two groups.
Frontal lobe atrophy and consecutive frontal lobe dysfunctions are considered to play a key role leading to the clinical consequences of SIVD. The frontal lobe seems to be most severely affected by SIVD. Furthermore, white-matter lesions are more abundant in the frontal lobe. However, regardless of where in the brain white-matter lesions are located, they are associated with frontal hypometabolism and consecutive executive dysfunction.24 Among the cognitive domains impaired in patients with severe white-matter lesions, findings in frontal lobe functions (especially executive functions) seem to be the most consistent.4,10,25,26 Frontal executive functions include volition, planning, anticipation, control of socially inadequate behavior, and control of complex activities.15,16,26–29 Impairments in executive functions are caused by disruptions of the dorso–lateral prefrontal–subcortical connections.27 The disruptions may be caused by lesions in the thalamus, the striatum, the globus pallidus, or the subcortical white matter.16,27 Previous studies have shown that white-matter lesions may cause brain atrophy,10,13,14,30,31 especially frontal atrophy.10 The findings of Mok et al.10 suggest a strong influence of the lateral fronto-orbital gyrus.
Our data suggest that SIVD is not associated with deficits in delayed memory. This contradicts the findings of Jokinen et al.,4 although Jokinen and co-authors hypothesize that verbal memory deficits might be mediated by executive deficits, and, therefore, they may reflect secondary impairment due to inefficient encoding and retrieval strategies.4 This hypothesis is supported by our finding that SIVD is related to impairment in verbal learning, but not delayed recognition. This indicates, that SIVD leads to an “executive-type” memory impairment.
This study has certain limitations. This is a retrospective analysis of a pre-selected group of patients, who were referred for planned carotid artery stenting because of asymptomatic carotid artery disease and subjective cognitive impairment. Bias due to multiple comparisons is possible. The neuropsychological test battery established by the Consortium to Establish a Registry for Alzheimer’s Disease (CERAD-Plus)20,21 was designed as a tool for the detection of AD. It might not be suitable for the detection of cognitive deficits caused by vascular disease. Furthermore, handedness of patients was not assessed. The imaging criteria for SIVD, white-matter lesions, and signs of atrophy in the medial-temporal and frontal lobe were based on visual rating scales. The applied visual rating scales categorizing SIVD and frontal lobe and medial-temporal lobe atrophy are easily accessible in the clinical process.
References
1.
Román GC, Erkinjuntti T, Wallin A, et al.: Subcortical ischaemic vascular dementia. Lancet Neurol 2002; 1:426–436
2.
Erkinjuntti T: Vascular cognitive deterioration and stroke. Cerebrovasc Dis 2007; 24(Suppl 1):189–194
3.
Jokinen H, Kalska H, Ylikoski RLADIS group, et al.: MRI-defined subcortical ischemic vascular disease: baseline clinical and neuropsychological findings: The LADIS Study. Cerebrovasc Dis 2009a; 27:336–344
4.
Jokinen H, Kalska H, Mäntylä R, et al.: Cognitive profile of subcortical ischaemic vascular disease. J Neurol Neurosurg Psychiatry 2006; 77:28–33
5.
Esiri MM, Wilcock GK, Morris JH: Neuropathological assessment of the lesions of significance in vascular dementia. J Neurol Neurosurg Psychiatry 1997; 63:749–753
6.
Pantoni L, Poggesi A, Inzitari D: Cognitive decline and dementia related to cerebrovascular diseases: some evidence and concepts. Cerebrovasc Dis 2009; 27(Suppl 1):191–196
7.
LADIS Study Group: 2001–2011: a decade of the LADIS (Leukoaraiosis And DISability) Study: what have we learned about white-matter changes and small-vessel disease? Cerebrovasc Dis 2011; 32:577–588
8.
Erkinjuntti T: Diagnosis and management of vascular cognitive impairment and dementia. J Neural Transm Suppl 2002; 63:91–109
9.
Jokinen H, Kalska H, Ylikoski RLADIS group, et al.: Longitudinal cognitive decline in subcortical ischemic vascular disease: the LADIS Study. Cerebrovasc Dis 2009b; 27:384–391
10.
Mok V, Wong KK, Xiong Y, et al.: Cortical and frontal atrophy are associated with cognitive impairment in age-related confluent white-matter lesion. J Neurol Neurosurg Psychiatry 2011; 82:52–57
11.
Sabri O, Ringelstein EB, Hellwig D, et al.: Neuropsychological impairment correlates with hypoperfusion and hypometabolism but not with severity of white-matter lesions on MRI in patients with cerebral microangiopathy. Stroke 1999; 30:556–566
12.
Corbett A, Bennett H, Kos S: Cognitive dysfunction following subcortical infarction. Arch Neurol 1994; 51:999–1007
13.
Fein G, Di Sclafani V, Tanabe J, et al.: Hippocampal and cortical atrophy predict dementia in subcortical ischemic vascular disease. Neurology 2000; 55:1626–1635
14.
Chen Y, Chen X, Xiao W, et al.: Frontal lobe atrophy is associated with small-vessel disease in ischemic stroke patients. Clin Neurol Neurosurg 2009; 111:852–857
15.
Wolfe N, Linn R, Babikian VL, et al.: Frontal systems impairment following multiple lacunar infarcts. Arch Neurol 1990; 47:129–132
16.
Cummings JL: Frontal-subcortical circuits and human behavior. Arch Neurol 1993; 50:873–880
17.
Scheltens P, Barkhof F, Leys D, et al.: A semiquantitative rating scale for the assessment of signal hyperintensities on magnetic resonance imaging. J Neurol Sci 1993; 114:7–12
18.
Pantoni L, Basile AM, Pracucci G, et al.: Impact of age-related cerebral white-matter changes on the transition to disability: the LADIS study: rationale, design, and methodology. Neuroepidemiology 2005; 24:51–62
19.
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; 12:189–198
20.
Morris JC, Heyman A, Mohs RC, et al.: The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD), Part I: clinical and neuropsychological assessment of Alzheimer’s disease. Neurology 1989; 39:1159–1165
21.
Welsh KA, Butters N, Mohs RC, et al.: The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD), Part V: a normative study of the neuropsychological battery. Neurology 1994; 44:609–614
22.
Billino J, Luerssen J, von Renteln-Kruse W, et al.: Effects of subcortical vascular ischemic dementia and aging on negative and neutral word list learning. Dement Geriatr Cogn Disord 2011; 31:188–194
23.
Kandiah N, Narasimhalu K, Lee J, et al.: Differences exist in the cognitive profile of mild Alzheimer’s disease and subcortical ischemic vascular dementia. Dement Geriatr Cogn Disord 2009; 27:399–403
24.
Tullberg M, Fletcher E, DeCarli C, et al.: White-matter lesions impair frontal lobe function regardless of their location. Neurology 2004; 63:246–253
25.
Pohjasvaara T, Mäntylä R, Ylikoski R, et al.: Clinical features of MRI-defined subcortical vascular disease. Alzheimer Dis Assoc Disord 2003; 17:236–242
26.
Román GC, Royall DR: Executive control function: a rational basis for the diagnosis of vascular dementia. Alzheimer Dis Assoc Disord 1999; 13(Suppl 3):S69–S80
27.
Mega MS, Cummings JL: Frontal-subcortical circuits and neuropsychiatric disorders. J Neuropsychiatry Clin Neurosci 1994; 6:358–370
28.
Grigsby J, Kaye K, Shetterly SM, et al.: Prevalence of disorders of executive cognitive functioning among the elderly: findings from the San Luis Valley Health and Aging Study. Neuroepidemiology 2002; 21:213–220
29.
Royall DR: Executive cognitive impairment: a novel perspective on dementia. Neuroepidemiology 2000; 19:293–299
30.
Godin O, Maillard P, Crivello F, et al.: Association of white-matter lesions with brain atrophy markers: the three-city Dijon MRI study. Cerebrovasc Dis 2009; 28:177–184
31.
Appelman AP, Exalto LG, van der Graaf Y, et al.: White-matter lesions and brain atrophy: more than shared risk factors? a systematic review. Cerebrovasc Dis 2009; 28:227–242
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Received: 10 May 2012
Revision received: 12 December 2012
Accepted: 18 December 2012
Published online: 1 April 2014
Published in print: Spring 2014
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