Literature DB >> 11935264

Degenerative and vascular lesions of the brain have synergistic effects in dementia of the elderly.

Dina Zekry1, Charles Duyckaerts, Robert Moulias, Joël Belmin, Caroline Geoffre, François Herrmann, Jean-Jacques Hauw.   

Abstract

The relative importance of vascular and Alzheimer's disease (AD) lesions, their interaction in the development of cognitive impairment and the very existence of mixed dementia induced by the potentiation of both mechanisms remain controversial. The aim of this study was to assess whether the patients with infarcts and lacunes have fewer plaques and tangles than those without vascular lesions, for similar severity of clinical dementia. We performed a prospective clinicopathological study in elderly patients of a long-stay care unit. The severity of clinical dementia was assessed by psychometry performed according to standardized methods less than 6 months before death. A volumetric study of cerebral vascular lesions was performed at post-mortem study of the brain. The density of neuritic plaques (SP), Amyloid beta focal deposits (A beta FD), and neurofibrillary tangles (NFT) in the temporal and frontal isocortex was quantified. According to DSM III criteria, 28 of the 33 patients for whom autopsies were performed had dementia. Twenty-four of the included patients had degenerative or vascular lesions, or both. The volume of infarcts and lacunes was significantly correlated with the severity of cognitive impairment. The density of SP, A beta FD and NFT in the temporal and frontal isocortex was significantly lower when vascular lesions were present. For similar clinical severity of dementia, there were fewer AD lesions in patients with vascular lesions than in those without vascular lesions.

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Year:  2002        PMID: 11935264     DOI: 10.1007/s00401-001-0493-5

Source DB:  PubMed          Journal:  Acta Neuropathol        ISSN: 0001-6322            Impact factor:   17.088


  44 in total

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Review 9.  Challenges of multimorbidity of the aging brain: a critical update.

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10.  Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine.

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