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@ARTICLE{Plachti:878506,
author = {Plachti, Anna and Kharabian, Shahrzad and Eickhoff, Simon B
and Maleki Balajoo, Somayeh and Hoffstaedter, Felix and
Varikuti, Deepthi and Jockwitz, Christiane and Caspers,
Svenja and Amunts, Katrin and Genon, Sarah},
title = {{H}ippocampus co-atrophy pattern in dementia deviates from
covariance patterns across the lifespan},
journal = {Brain},
volume = {143},
number = {9},
issn = {1460-2156},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2020-02885},
pages = {2788 - 2802},
year = {2020},
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.},
cin = {INM-7 / INM-1},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406 / I:(DE-Juel1)INM-1-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572) / 571 -
Connectivity and Activity (POF3-571) / HBP SGA2 - Human
Brain Project Specific Grant Agreement 2 (785907) / SMHB -
Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017)},
pid = {G:(DE-HGF)POF3-572 / G:(DE-HGF)POF3-571 /
G:(EU-Grant)785907 / G:(DE-Juel1)HGF-SMHB-2013-2017},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32851402},
UT = {WOS:000607095300028},
doi = {10.1093/brain/awaa222},
url = {https://juser.fz-juelich.de/record/878506},
}