Literature DB >> 32851402

Hippocampus co-atrophy pattern in dementia deviates from covariance patterns across the lifespan.

Anna Plachti1,2, Shahrzad Kharabian1,2, Simon B Eickhoff1,2, Somayeh Maleki Balajoo2, Felix Hoffstaedter2, Deepthi P Varikuti2, Christiane Jockwitz2,3, Svenja Caspers2,4,5, Katrin Amunts2,4,6, Sarah Genon2,7.   

Abstract

The hippocampus is a plastic region and highly susceptible to ageing and dementia. Previous studies explicitly imposed a priori models of hippocampus when investigating ageing and dementia-specific atrophy but led to inconsistent results. Consequently, the basic question of whether macrostructural changes follow a cytoarchitectonic or functional organization across the adult lifespan and in age-related neurodegenerative disease remained open. The aim of this cross-sectional study was to identify the spatial pattern of hippocampus differentiation based on structural covariance with a data-driven approach across structural MRI data of large cohorts (n = 2594). We examined the pattern of structural covariance of hippocampus voxels in young, middle-aged, elderly, mild cognitive impairment and dementia disease samples by applying a clustering algorithm revealing differentiation in structural covariance within the hippocampus. In all the healthy and in the mild cognitive impaired participants, the hippocampus was robustly divided into anterior, lateral and medial subregions reminiscent of cytoarchitectonic division. In contrast, in dementia patients, the pattern of subdivision was closer to known functional differentiation into an anterior, body and tail subregions. These results not only contribute to a better understanding of co-plasticity and co-atrophy in the hippocampus across the lifespan and in dementia, but also provide robust data-driven spatial representations (i.e. maps) for structural studies.
© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain.

Entities:  

Keywords:  dementia; elderly; parcellation; structural covariance; temporal lobe

Mesh:

Year:  2020        PMID: 32851402      PMCID: PMC7523701          DOI: 10.1093/brain/awaa222

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


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