Executive function subdomains are associated with post-stroke functional outcome and permanent institutionalization.

BACKGROUND AND PURPOSE: Impairment of executive functions (EFs) is a common cognitive symptom post-stroke and affects independence in daily activities. Previous studies have often relied on brief cognitive tests not fully considering the wide spectrum of EF subdomains. A detailed assessment of EFs was used to examine which of the subdomains and tests have the strongest predictive value on post-stroke functional outcome and institutionalization in long-term follow-up. METHODS: A subsample of 62 patients from the Helsinki Stroke Aging Memory Study was evaluated with a battery of seven neuropsychological EF tests 3 months post-stroke and compared to 39 healthy control subjects. Functional impairment was evaluated with the modified Rankin Scale (mRS) and Instrumental Activities of Daily Living (IADL) scale at 3 months, and with the mRS at 15 months post-stroke. Institutionalization was reviewed from the national registers of permanent hospital admissions in up to 21-year follow-up. RESULTS: The stroke group performed more poorly than the control group in multiple EF tests. Tests of inhibition, set shifting, initiation, strategy formation and processing speed were associated with the mRS and IADL scale in stroke patients. EF subdomain scores of inhibition, set shifting and processing speed were associated with functional outcome. In addition, inhibition was associated with the risk for earlier institutionalization. CONCLUSIONS: Executive function was strongly associated with post-stroke functional impairment. In follow-up, poor inhibition was related to earlier permanent institutionalization. The results suggest the prognostic value of EF subdomains after stroke.

Post-stroke cognitive impairment is common even after successful clinical recovery.

BACKGROUND AND PURPOSE: Cognitive impairment is common after stroke, but the prevalence and long-term significance of the diverse neuropsychological deficits on functional outcome are still not well known. The frequency and prognostic value of domain-specific cognitive impairments were investigated in a large cohort of ischaemic stroke patients. METHODS: Consecutive patients (n = 409), aged 55-85 years, from the acute stroke unit of the Helsinki University Hospital, Finland, were evaluated with extensive clinical and neuropsychological assessments 3 months post-stroke. Impairments within nine cognitive domains were determined according to age-appropriate normative data from a random healthy population. Functional disability was evaluated with the modified Rankin scale (mRS) 3 and 15 months post-stroke. RESULTS: In all, 83% patients showed impairment in at least one cognitive domain, whereas 50% patients were impaired in multiple (≥3) domains. In cases with excellent clinical recovery at 3 months (mRS = 0-1, no disability), the occurrence of any cognitive impairment was 71%. Memory, visuoconstructional and executive functions were most commonly impaired. A substantially smaller proportion of patients scored below the conventional or more stringent cut-offs in the Mini-Mental State Examination (MMSE). Domain-specific cognitive impairments were associated with functional dependence at 15 months regardless of stroke severity and other confounders. CONCLUSIONS: Cognitive impairment as evaluated with a comprehensive neuropsychological assessment is prevalent in stroke survivors even with successful clinical recovery. Typically multiple domains and complex cognitive abilities are affected. MMSE is not sensitive in detecting these symptoms. Post-stroke cognitive impairment is strongly related to poor functional outcome.

A variant of Alzheimer's disease with spastic paraparesis and unusual plaques due to deletion of exon 9 of presenilin 1.

We describe a novel variant of Alzheimer's disease (AD) in a Finnish pedigree with 17 affected individuals of both sexes in three generations. The disease is characterized by progressive dementia which is, in most cases, preceded by spastic paraparesis. Neuropathological investigations revealed numerous, distinct, large, round and eosinophilic plaques as well as neurofibrillary tangles and amyloid angiopathy throughout the cerebral cortex. The predominant plaques resembled cotton wool balls and were immunoreactive for Abeta but lacked a congophilic dense core or marked plaque-related neuritic pathology. Molecular genetic analysis revealed that the disease was caused by a deletion of exon 9 (delta9) of the presenilin 1 (PS1) gene from the mRNA: unlike previous examples of the delta9 variant, the deletion was not caused by a splice acceptor site mutation.

Comparison of different clinical criteria (DSM-III, ADDTC, ICD-10, NINDS-AIREN, DSM-IV) for the diagnosis of vascular dementia. National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l'Enseignement en Neurosciences.

BACKGROUND AND PURPOSE: The criteria for vascular dementia (VaD) include definition of the cognitive syndrome and the vascular cause. Different criteria for dementia identify different frequencies and clusters of patients. In addition, variation in defining the cause and etiology may have an effect. We compared different clinical criteria for VaD in series of patients with poststroke dementia. METHODS: The study group comprised 107 patients fulfilling the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) definition for dementia from a cohort of consecutive patients with ischemic stroke who completed a comprehensive neuropsychological test battery and MRI. The mean age (SD) of the patients was 71.4 (7.6) years. The definitions of vascular cause of VaD were those of the DSM-III (1980), Alzheimer's Disease Diagnostic and Treatment Centers (ADDTC; 1992), International Statistical Classification of Diseases, 10th Revision (ICD-10; 1992), National Institute of Neurological Disorders and Stroke-Association Internationale pour la Recherche et l'Enseignement en Neurosciences (NINDS-AIREN; 1993), and Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV; 1994). RESULTS: The number of cases that could be classified as VaD according to the different criteria varied considerably: 36.4% (n=39) by DSM-III, 86.9% (n=93) by ADDTC, 32.7% (n=35) by NINDS-AIREN, 36.4% (n=39) by ICD-10, and 91.6% (n=98) by DSM-IV criteria. The concordance between DSM-III/ICD-10 was perfect (100%; kappa=1.0), between ICD-10/NINDS-AIREN and ADDTC/DSM-IV good to moderate (85.0% and 87. 3%; kappa=0.87 and 0.37, respectively), but otherwise poor between the other criteria. Only 31 patients fulfilled all the criteria for VaD applied. Major discriminating factors between the criteria were requirement of (1) focal neurological signs, (2) unequal distribution of deficits in higher cortical functions, and (3) evidence of relevant CVD based on brain imaging findings. CONCLUSIONS: Current criteria of VaD identify different frequencies and clusters of patients and are not interchangeable. Optimally, prospective studies with clinicopathological correlation could identify new criteria. Meanwhile, focus on more homogeneous subtypes (eg, small-vessel subcortical VaD) and detailed neuroimaging criteria could improve the diagnostics.

White matter changes in healthy elderly persons correlate with attention and speed of mental processing.

OBJECTIVE: To evaluate the association between white matter changes (leukoaraiosis [LA]) seen on magnetic resonance imaging and cognitive functions. DESIGN: Survey of cohorts of neurologically healthy elderly subjects derived consecutively from a population-based random sample. SETTING: General community, the Helsinki (Finland) Aging Brain Study. SUBJECTS: Cohorts of neurologically healthy subjects aged 55, 60, 65, 70, 75, 80, and 85 years (n = 20, 18, 19, 18, 17, 17 and 11 subjects, respectively; total N = 120). MEASURES: Leukoaraiosis was rated in the periventricular areas (0 to 24) and the centrum semiovale (0 to 24); also, a total LA score was obtained (0 to 48). The neuropsychological test battery covered memory, verbal intellectual and constructional functions, language, speed and attention, and speed of mental processing, as well as simple psychomotor speed. RESULTS: Low age-related LA scores and deterioration of cognitive functions were obtained in the normal subjects. When controlling for age, we found that speed and attention, together with the speed of mental processing measured by the Trail Making A and the Stroop tests, correlated with the total LA score. However, there was wide variation between subjects. Comparing groups with and without LA proved the association of LA with Trail Making A time, Stroop test result (words/time and difference/time), and the compound score of speed and attention. Presence of periventricular LA was especially related to speed of mental processing. CONCLUSION: Leukoaraiosis could explain some of the intellectual impairment in the elderly, especially that of slowing of distinct motor and attentional functions, as well as slowing of mental processing. Mild LA in normal aged subjects could also signal brain at risk for further cognitive impairment.

How complex interactions of ischemic brain infarcts, white matter lesions, and atrophy relate to poststroke dementia.

BACKGROUND: Cerebrovascular disease is a major factor related to cognitive impairment. However, behavioral correlates of ischemic brain lesions are insufficiently characterized. OBJECTIVE: To examine magnetic resonance imaging correlates of dementia in a large, well-defined series of patients with ischemic stroke. METHODS: Detailed medical, neurological, and neuropsychological examinations were conducted 3 months after ischemic stroke for 337 of 486 consecutive patients aged 55 to 85 years. Infarcts (type, site, side, number, and volume), extent of white matter lesions (WMLs), and degree of atrophy were categorized according to magnetic resonance images of the head. The definition for dementia of the Diagnostic and Statistical Manual of Mental Disorders, Third Edition (DSM-III) was used. RESULTS: Dementia was diagnosed in 107 (31.8%) of the patients and stroke-related dementia in 87 (25.8%). Volumes, numbers, distinct sites of infarcts, extent of WMLs, and degree of atrophy were different for the demented and nondemented subjects. Particularly, volumes of infarcts in any (right- or left-sided) superior middle cerebral artery territory (27.3 vs 13.7 cm(3), P =. 002) and left thalamocortical connection (14.8 vs 4.0 cm(3), P =. 002) differentiated the 2 groups. Logistic regression analysis showed that the correlates of any dementia included the combination of infarct features (volume of infarcts in any superior middle cerebral artery: odds ratio [OR], 1.11; frequency of left-sided infarcts: OR, 1.21), extent of WMLs (OR, 1.3), medial temporal lobe atrophy (OR, 2.1), and host factors (education; OR, 0.91). In the patients with stroke-related dementia, the main correlate was volume of infarcts in the left anterior corona radiata (OR, 1.68). CONCLUSION: Correlates of poststroke dementia do not include merely 1 feature but a combination of infarct features, extent of WMLs, medial temporal lobe atrophy, and host features.

MRI correlates of dementia after first clinical ischemic stroke.

BACKGROUND AND PURPOSE: Dementia after first clinical stroke frequently has been found, but the clinical and radiological correlates have not been fully detailed. We examined magnetic resonance imaging (MRI) correlates of dementia in a large well-defined series of patients with first clinical ischemic stroke. METHODS: Detailed medical, neurological and neuropsychological examination was conducted 3 months after ischemic stroke for 273 patients with first clinical stroke from a consecutive series of 486 patients aged 55-85 years. MRI of the head categorised infarcts (type, site, side, number, volume), extent of white matter lesions (WMLs) and degree of atrophy. The DSM-III definition for dementia was used. RESULTS: Dementia was diagnosed in 79 (28.9%) of the patients with first clinical stroke. Volumes, numbers, distinct sites of infarcts, extent of WMLs and degree of atrophy were different for the demented and nondemented subjects. Logistic regression analysis showed that the correlates of dementia included the combination of infarct features (volume of infarcts in left-sided anterior corona radiata; OR 1.86), extent of WMLs (OR 1. 37), medial temporal lobe atrophy (OR 3.4) and host factors (low education; OR 1.11). The additive effect of having more than one correlate was detected (OR 2.53). CONCLUSIONS: Dementia occurring after first clinical stroke is frequent and not solely due to a single stroke, but contain a combination of infarcts features, extent of WMLs, medial temporal lobe atrophy and host factors reflecting more than one underlying pathology.

Cardiovascular diseases, health status, brain imaging findings and neuropsychological functioning in neurologically healthy elderly individuals.

The aim of our study was to evaluate the relationship between health-related factors, brain imaging findings and cognitive functioning. We examined 113 neurologically healthy subjects from 55 to 85 years of age. Health-related variables included a clinical health evaluation, cardiovascular diseases, and other systemic diseases. The presence of white matter changes and cerebral and peripheral atrophy were obtained with magnetic resonance imaging. Neuropsychological tests measuring verbal memory, visual memory, intellectual and language functions, visuoconstructional functions, flexibility, and speed and attention were administered. Results showed that overall health status was not related to cognition. Subjects, who had both arterial hypertension and white matter changes had difficulties in flexibility. Cardiac failure and white matter changes were related to impairment in visuoconstructional functions, flexibility and attention. Significant speed and attention deficits were observed in subjects with cardiac failure and central atrophy. In conclusion, this study verifies the relationship between hypertension, white matter changes and cognitive functions. We found also specific patterns in relation with cardiac failure, brain imaging findings and cognitive functioning, the most vulnerable domains were visuoconstructional functions, flexibility and attention.

Incident lacunes influence cognitive decline: the LADIS study.

BACKGROUND: In cerebral small vessel disease, the core MRI findings include white matter lesions (WML) and lacunar infarcts. While the clinical significance of WML is better understood, the contribution of lacunes to the rate of cognitive decline has not been established. This study investigated whether incident lacunes on MRI determine longitudinal cognitive change in elderly subjects with WML. METHODS: Within the Leukoaraiosis and Disability Study (LADIS), 387 subjects were evaluated with repeated MRI and neuropsychological assessment at baseline and after 3 years. Predictors of change in global cognitive function and specific cognitive domains over time were analyzed with multivariate linear regression. RESULTS: After controlling for demographic factors, baseline cognitive performance, baseline lacunar and WML lesion load, and WML progression, the number of new lacunes was related to subtle decrease in compound scores for executive functions (p = 0.021) and speed and motor control (p = 0.045), but not for memory or global cognitive function. Irrespective of lacunes, WML progression was associated with decrease in executive functions score (p = 0.016). CONCLUSION: Incident lacunes on MRI parallel a steeper rate of decline in executive functions and psychomotor speed. Accordingly, in addition to WML, lacunes determine longitudinal cognitive impairment in small vessel disease. Although the individual contribution of lacunes on cognition was modest, they cannot be considered benign findings, but indicate a risk of progressive cognitive impairment.

Cognitive profile of subcortical ischaemic vascular disease.

OBJECTIVES: Subcortical ischaemic vascular disease (SIVD) is a subtype of vascular cognitive impairment characterised by extensive white matter lesions and multiple lacunar infarcts. Radiologically defined diagnostic criteria for SIVD have been introduced, but only a few studies have presented empirical data on its clinical and cognitive features. The aim of this study is to describe in detail the neuropsychological characteristics of patients with SIVD from a large well defined stroke cohort. METHODS: A sample of 323 consecutive patients with ischaemic stroke, aged 55-85 years, was investigated using neuropsychological examination and magnetic resonance imaging (MRI). Patients fulfilling the MRI criteria of SIVD (n = 85) were compared to the other stroke patients (n = 238) and to normal control subjects (n = 38). RESULTS: Cognitive performance of the SIVD group was inferior to that of the normal control group throughout all domains. As compared to the other stroke patients, the SIVD group performed significantly worse in tests measuring executive functions and delayed memory recall. Adjusting for depression had no effect on these results. Instead, after controlling for medial temporal lobe atrophy, the differences disappeared for delayed memory but remained significant for executive functions. CONCLUSION: Executive deficits are the most prominent cognitive characteristic associated with SIVD. Patients with SIVD also exhibit subtle deficits in delayed memory, which is explained in part by medial temporal lobe atrophy. Cognitive and mood changes seem to be parallel but independent processes related to SIVD. The results support the concept of SIVD as a separate clinical entity.

White matter hyperintensities as a predictor of neuropsychological deficits post-stroke.

OBJECTIVES: Cerebral white matter hyperintensities (WMHs) on magnetic resonance imaging (MRI) are a recognised risk factor for post-stroke dementia. Their specific relations to cognitive impairment are still not well known. The purpose of this study was to explore how the severity and location of WMHs predict neuropsychological test performance in the context of other brain lesions in elderly stroke patients. METHODS: In the Helsinki Stroke Aging Memory Study, 323 patients, aged from 55 to 85 years, completed a detailed neuropsychological test battery and MRI 3 months after an ischaemic stroke. The demographic and MRI predictors of cognition were studied with sequential linear regression analyses. RESULTS: After age, education and total infarct volume were controlled for, the overall degree of WMHs predicted poor performance in tests of mental speed, executive functions, memory, and visuospatial functions, but not in those of short term memory storage or verbal conceptualisation. However, the contribution of separate white matter regions was relatively low. Only the lesions along the bodies of lateral ventricles were independently associated with speed and executive measures. Additionally, general cortical atrophy clearly predicted a wide range of cognitive deficits while infarct volume had less relevance. Further analyses revealed that executive functions act as a strong mediator between the relationship of WMHs to memory and visuospatial functions. CONCLUSIONS: The degree of WMHs is independently related to post-stroke cognitive decline. The most affected cognitive domains seem to be executive functions and speed of mental processing, which may lead to secondary deficits of memory and visuospatial functions.

Staging the severity of dementia: comparison of clinical (CDR, DSM-III-R), functional (ADL, IADL) and cognitive (MMSE) scales.

The Helsinki Aging Study is based on a random sample of 795 subjects aged 75 years (N = 274), 80 years (N = 266) and 85 years (N = 255). Ninety-three demented patients were found. All were assessed for severity of dementia by Clinical Dementia Rating (CDR) scale by a general practitioner and according to the DSM-III-R criteria by a neurologist. The Mini-Mental State Examination (MMSE) was carried out by a community nurse and the Index of ADL and the IADL-scale by a close informant. The correlation of the severity of dementia between the DSM-III-R criteria and the CDR scale was moderate. The overall agreement was 64.5% and the Kappa index 0.56. The CDR scale tended to put patients in milder categories than the DSM-III-R criteria. The correlation between the clinical scales and categorized MMSE was moderate to fair. The overall agreement between MMSE and DSM-III-R criteria was 64% (Kappa 0.44) and between MMSE and CDR scale 55% (Kappa 0.33%). The dispersion of the functional scales (ADL, IADL) was much greater indicating that there were also other factors influencing the functional capacity than the degree of dementia. Different methods in staging dementia give different results thus influencing for instance the results of epidemiological studies. Functional scales are needed in clinical practice in addition to the assessment of the severity of dementia. The CDR scale is useful in assessing the need for support services.

Usefulness of the Clinical Dementia Rating scale in screening for dementia.

The Clinical Dementia Rating (CDR) scale is a qualitative staging instrument that has traditionally been used for assessing the severity of dementia. We used it for screening dementia in a population study of 75-, 80-, and 85-year-old people. The modified CDR scale was easy to establish and it proved to be useful in screening dementia. A more thorough examination is needed in the second phase to identify the false positives. The sensitivity of the CDR scale was 95% and the specificity 94%.

Correction for age, education and other demographic variables in the use of the Mini Mental State Examination in Finland.

The population-based Helsinki Aging Study was comprised of three age groups: 75-, 80- and 85-year-olds. A random sample of 511 subjects completed the Mini Mental State Examination (MMSE) and were assessed on the Clinical Dementia Rating-scale (CDR). According to the CDR results 446 subjects were screened as non-demented. Of these subjects 30% scored below or at 24 MMSE points. Age, education and social group had a significant effect on the MMSE scores, even after excluding the demented cases. Together they explained 10% of the total variance within the MMSE. Social group correlated with education. The MMSE scores were corrected according to age and education. Adjustment of the originally used cutpoint of 24 resulted in cutpoints of 25 and 26 among the 75-year-olds, in the low and high education groups respectively; 23 and 26 in the 80-year-olds; 22 and 23 in the 85-year-olds.

Hippocampal and temporal lobe atrophy and age-related decline in memory.

OBJECTIVES: To evaluate the relationship of memory decline that accompanies aging with structural changes in the medial temporal lobe, in healthy middle-aged and older subjects. MATERIAL AND METHODS: A sample of 35 neurologically non-diseased subjects, between 55 and 70 years of age, were examined in a 5-year follow-up study. Neuropsychological investigation included tests of learning, verbal memory, and visual memory. MRI was performed with a superconducting MRI system operating at 1.0 T, using coronal slices of T1-weighted images. Medial temporal lobe atrophy was rated separately in the neocortical, entorhinal and hippocampal regions. RESULTS: We did not find any statistically significant relationship between mild hippocampal or temporal atrophy and memory test performance. Nor did the longitudinal decline in memory show a relationship with temporal lobe atrophy. CONCLUSIONS: The main outcome of our study was that age-related memory decline was not related to mild temporal lobe atrophy in healthy subjects without mild cognitive impairment. There could be other factors influencing memory functions besides age-related structural changes in temporal lobes.

Functional assessment scales in detecting dementia.

AIM: to evaluate the use of different functional scales in detecting dementia in a population study. METHODS: the study is part of the Helsinki Ageing Study. A random sample of 795 subjects aged 75 (n = 274), 80 (n = 266) and 85 years (n = 255) was taken. The prevalences of dementia (DSM-III-R criteria) in these age groups were 4.6, 13.1 and 26.7% respectively. The functional scale scores were known for 71% of the non-demented and 66% of the demented subjects. A structured questionnaire completed by a close informant included four functional scales: the index of activities of daily living (ADL), the modified Blessed dementia scale (DS), the instrumental activities of daily living scale (IADL) and the Functional Assessment Questionnaire (FAQ). RESULTS: all the functional scales discriminated demented from non-demented subjects. Based on receiver operating characteristics analysis, the area under the curve (95% confidence interval) was 0.90 (0.80-0.94) for the ADL, 0.94 (0.87-0.97) for the DS, 0.95 (0.90-0.98) for the IADL and 0.96 (0.92-0.98) for the FAQ. The effects of age, sex and education in detecting dementia were minor or non-existent in the ADL, DS and FAQ scales, but age had an effect on the performance of the IADL scale. All the scales detected even mild dementia adequately. CONCLUSIONS: functional scales can be used in detecting dementia when functional assessment is already used for other purposes, such as among elderly primary care patients.

Clinical determinants of poststroke dementia.

BACKGROUND AND PURPOSE: Frequency of poststroke dementia is high, and stroke considerably increases the risk of dementia. The risk factors for dementia related to stroke are still incompletely understood. We sought to examine clinical determinants of poststroke dementia in a large well-defined stroke cohort. METHODS: The study group comprised 337 of 486 consecutive patients aged 55 to 85 years who 3 months after ischemic stroke completed a comprehensive neuropsychological test battery and MRI, including structured medical, neurological, and laboratory evaluations; clinical mental status examination; interview of a knowledgeable informant; detailed history of risk factors; and evaluation of stroke type, localization, and syndrome. The DSM-III definition for dementia was used. RESULTS: Frequency of any poststroke dementia was 31.8% (107/337), that of stroke-related dementia (mixed Alzheimer's disease plus vascular dementia excluded) was 28.4% (87/306), and that of dementia after first-ever stroke was 28.9% (79/273). The patients with poststroke dementia were older and more often had a low level of education, history of prior cerebrovascular disease and stroke, left hemispheric stroke (reflecting laterality), major dominant stroke syndrome (reflecting laterality and size), dysphasia, gait impairment, and urinary incontinence. The demented patients were also more frequently current smokers, had lower arterial blood pressure values, and more frequently had an orthostatic reaction compared with the nondemented stroke patients. The correlates of dementia in logistic regression analysis were dysphasia (odds ratio [OR], 5.6), major dominant stroke syndrome (OR, 5.0), history of prior cerebrovascular disease (OR, 2.0), and low educational level (OR, 1.1). When we excluded those with cerebrovascular disease plus Alzheimer's disease or those with recurrent stroke, the order of correlates remained the same. When the patients with dysphasia (n=30) were excluded, the correlates were major dominant syndrome (OR, 4.6) and low educational level (OR, 1.1). CONCLUSIONS: Our data suggest that a single explanation for poststroke dementia is not adequate; rather, multiple factors including stroke features (dysphasia, major dominant stroke syndrome), host characteristics (educational level), and prior cerebrovascular disease each independently contribute to the risk.

Differences in neuropsychological functioning associated with age, education, neurological status, and magnetic resonance imaging findings in neurologically healthy elderly individuals.

In a cross-sectional study, a sample of 113 individuals, 55 to 85 years old, without any neurological diseases was investigated. The study provides information on differences associated with age, education, and gender, and in relation to neurological status, magnetic resonance imaging, and cognitive functioning. Differences between age groups were shown in memory, constructional, and language functions, and especially in tests related to speed and attention. Education was related to most of the cognitive functions, but especially to verbal intellectual functions, visual and logical memory, language functions, and calculation. Gender differences were found in finger tapping, constructional functions, and verbal intellectual functions. Primitive reflexes showed a tendency to correlate with comprehension and memory of sentences. Extrapyramidal signs were related to psychomotor speed, and attention, verbal fluency, and set shifting together with intellectual functions and learning. Central atrophy on magnetic resonance imaging was related to memory functions in those 65 and 70 years of age, whereas in the oldest age groups immediate recall was associated with the severity of lesions.