Post-mortem assessment in vascular dementia: advances and aspirations
McAleese, Kirsty E.
De Reuck, Jacques
Grinberg, Lea T.
Hainsworth, Atticus H.
Kalaria, Raj N.
Kovacs, Gabor G.
Thal, Dietmar R.
Wharton, Stephen B.
Attems, JohannesNote: Order does not necessarily reflect citation order of authors.
MetadataShow full item record
CitationMcAleese, K. E., I. Alafuzoff, A. Charidimou, J. De Reuck, L. T. Grinberg, A. H. Hainsworth, T. Hortobagyi, et al. 2016. “Post-mortem assessment in vascular dementia: advances and aspirations.” BMC Medicine 14 (1): 129. doi:10.1186/s12916-016-0676-5. http://dx.doi.org/10.1186/s12916-016-0676-5.
AbstractBackground: Cerebrovascular lesions are a frequent finding in the elderly population. However, the impact of these lesions on cognitive performance, the prevalence of vascular dementia, and the pathophysiology behind characteristic in vivo imaging findings are subject to controversy. Moreover, there are no standardised criteria for the neuropathological assessment of cerebrovascular disease or its related lesions in human post-mortem brains, and conventional histological techniques may indeed be insufficient to fully reflect the consequences of cerebrovascular disease. Discussion Here, we review and discuss both the neuropathological and in vivo imaging characteristics of cerebrovascular disease, prevalence rates of vascular dementia, and clinico-pathological correlations. We also discuss the frequent comorbidity of cerebrovascular pathology and Alzheimer’s disease pathology, as well as the difficult and controversial issue of clinically differentiating between Alzheimer’s disease, vascular dementia and mixed Alzheimer’s disease/vascular dementia. Finally, we consider additional novel approaches to complement and enhance current post-mortem assessment of cerebral human tissue. Conclusion: Elucidation of the pathophysiology of cerebrovascular disease, clarification of characteristic findings of in vivo imaging and knowledge about the impact of combined pathologies are needed to improve the diagnostic accuracy of clinical diagnoses.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:29407656
- HMS Scholarly Articles