Journal Article FZJ-2020-02885

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

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2020
Oxford Univ. Press Oxford

Brain 143(9), 2788 - 2802 () [10.1093/brain/awaa222]

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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.

Classification:

Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
  2. Strukturelle und funktionelle Organisation des Gehirns (INM-1)
Research Program(s):
  1. 572 - (Dys-)function and Plasticity (POF3-572) (POF3-572)
  2. 571 - Connectivity and Activity (POF3-571) (POF3-571)
  3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
  4. SMHB - Supercomputing and Modelling for the Human Brain (HGF-SMHB-2013-2017) (HGF-SMHB-2013-2017)

Appears in the scientific report 2020
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Medline ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 10 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; PubMed Central ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Web of Science Core Collection
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 Record created 2020-08-19, last modified 2022-09-30


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