OBJECTIVEWe explored cognitive impairment in metabolic syndrome in relation to brain magnetic resonance imaging (MRI) findings.RESEARCH DESIGN AND METHODSWe studied 819 participants free of clinical stroke and dementia of the population-based Austrian Stroke Prevention Study who had undergone brain MRI, neuropsychological testing, and a risk factor assessment relevant to National Cholesterol Education Program Adult Treatment Panel III criteria–defined metabolic syndrome. High-sensitivity C-reactive protein (hs-CRP) was also determined.RESULTSOf 819 subjects, 232 (28.3%) had metabolic syndrome. They performed worse than those without metabolic syndrome on cognitive tests assessing memory and executive functioning after adjustment for possible confounders. Stratification by sex demonstrated that metabolic syndrome was related to cognitive dysfunction in men but not in women. Only in men was an increasing number of metabolic syndrome components associated with worse cognitive performance. MRI showed no significant differences in focal ischemic lesions and brain volume between subjects with and without metabolic syndrome, and MRI abnormalities failed to explain impaired cognition. Cognitive performance was most affected in male subjects with metabolic syndrome who also had high hs-CRP levels.CONCLUSIONSMetabolic syndrome exerts detrimental effects on memory and executive functioning in community-dwelling subjects who have not had a clinical stroke or do not have dementia. Men are more affected than women, particularly if they have high inflammatory markers. MRI-detected brain abnormalities do not play a crucial role in these relationships.

http://vitatops.highway1.com.au/. Unique identifier: NCT00097669 and ISRCTN74743444.

Despite extensive research over the last decades the clinical significance of white matter lesions (WMLs) is still a matter of debate. Here, we review current knowledge of the correlation between WMLs and cognitive functioning as well as their predictive value for future stroke, dementia, and functional decline in activities of daily living. There is clear evidence that age-related WMLs relate to all of these outcomes on a group level, but the inter-individual variability is high. The association between WMLs and clinical phenotypes exists particularly for early confluent to confluent changes, which are ischaemic in aetiology and progress quickly over time. One reason for the variability of the relationship between WMLs and clinic on an individual level is probably the complexity of the association. Numerous factors such as cognitive reserve, concomitant loss of brain volume, and ultrastructural changes have been identified as mediators between white matter damage and clinical findings, and need to be incorporated in the consideration of WMLs as visible markers of these detrimental processes.

A man aged 55 with negative family history presented with progressive decline in spatial orientation and visual functions for 2 years. He showed impaired optic fixation, optic ataxia, agraphia, acalculia, ideomotor apraxia, disturbed right-left differentiation but preserved color matching, memory and motor perception, gradually progressing to dementia, without extrapyramidal signs. Brain MRI and PET showed severe bilateral atrophy and hypometabolism in parieto-occipital areas with sparing of visual perception area and frontal lobes. Treatment with cholinesterase inhibitors had no effect. Death occurred 6½ years after onset of symptoms from bronchopneumonia. Clinical diagnosis was posterior cortical atrophy (Benson's syndrome). Autopsy showed severe bilateral parietal cortical atrophy, less severe in other brain regions without subcortical lesions. Histology revealed severe diffuse tauopathy with neuronal loss, neurofibrillary tangles, neuropil threads, and tau deposits in astroglia and oligodendroglia in parietal, temporal, occipital cortex, less in frontal cortex and hippocampus, putamen, claustrum, thalamus and subthalamus. Severely involved white matter showed many tau-positive threads, comma-like inclusions in oligodendroglia (coiled bodies) and in astroglia. Mild neuronal loss in substantia nigra was associated with massive tau pathology, also involving several brainstem nuclei, cerebellum being preserved. There were neither astrocytic plaques nor any amyloid pathology. Neuronal and glial inclusions were generally 4R-tau-positive and 3R-tau-negative. No TDP-43 and α-synuclein inclusions were detected. Spinal cord was not available. No mutations were found in the MAPT gene. This is the first published case with the fully developed clinical and neuroimaging picture of posterior cortical atrophy, morphologically presenting as a distinct phenotype of 4R-tauopathy that closely resembles (atypical) CBD.

Background: Causative Classification of Stroke (CCS) system is a novel, web-based, and fully-computerized algorithm that integrates clinical, diagnostic, and etiologic stroke characteristics in an evidence-based manner (available at http://ccs.mgh.harvard.edu ) and provides in a given patient both phenotypic subtypes where abnormal evaluation findings are simply organized in major etiologic categories and causative subtypes where abnormal evaluation findings are filtered through a decision making process to identify the most likely cause of stroke. In this study, we sought to identify the concordance between phenotypic and causative CCS subtypes in the NINDS Stroke Genetics Network (SiGN). Methods: A total of 24 adjudicators from 15 US and European sites certified in CCS retrospectively determined CCS subtypes through chart review in 7134 patients. The CCS software provided causative subtypes in 3 confidence levels as “evident”, “probable” or “possible” based on the weight of causal evidence. We estimated how often CCS classified a given major abnormal evaluation finding as the causative stroke mechanism. Results: CCS assigned 55% of patients with the phenotype of moderate-to-severe atherosclerotic stenosis into the causative category of “evident large artery atherosclerosis”. Likewise, 50% of patients with a major cardiac source (such as atrial fibrillation) were classified into “evident cardio-aortic embolism”, and 74% of those with imaging evidence of a typical lacunar infarct into “evident small artery occlusion”. In 20% to 30% of patients, phenotypic and causative categories were the same but the causative subtype was assigned with a lower level of confidence. Six to 20% of patients with a given phenotypic feature were classified into a different causative category. Failure to investigate for other subtypes in the presence of a positive test finding and the presence of multiple competing etiologies were key contributors to the observed disconcordance between phenotypic and causative subtypes. Conclusions: Our findings show that the presence of a major abnormality in stroke evaluation does not necessarily mean that it is always the cause. The ability of CCS system to discriminate between phenotypic and causative characteristics of stroke etiology provides the opportunity to refine stroke phenotypes for use in research studies.