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@ARTICLE{Vickery:887930,
author = {Vickery, Sam and Hopkins, William D. and Sherwood, Chet C.
and Schapiro, Steven J. and Latzman, Robert D. and Caspers,
Svenja and Gaser, Christian and Eickhoff, Simon B. and
Dahnke, Robert and Hoffstaedter, Felix},
title = {{C}himpanzee {B}rain {M}orphometry {U}tilizing
{S}tandardized {MRI} {P}reprocessing and {M}acroanatomical
{A}nnotations},
journal = {eLife},
issn = {2050-084X},
address = {Cambridge},
publisher = {eLife Sciences Publications},
reportid = {FZJ-2020-04522},
year = {2020},
abstract = {Chimpanzees are among the closest living relatives to
humans and, as such, provide a crucial comparative model for
investigating primate brain evolution. In recent years,
human brain mapping has strongly benefited from enhanced
computational models and image processing pipelines that
could also improve data analyses in animals by using
species-specific templates. In this study, we use structural
MRI data from the National Chimpanzee Brain Resource (NCBR)
to develop the chimpanzee brain reference template
Juna.Chimp for spatial registration and the macro-anatomical
brain parcellation Davi130 for standardized whole-brain
analysis. Additionally, we introduce a ready-to-use image
processing pipeline built upon the CAT12 toolbox in SPM12,
implementing a standard human image preprocessing framework
in chimpanzees. Applying this approach to data from 178
subjects, we find strong evidence for age-related GM atrophy
in multiple regions of the chimpanzee brain, as well as, a
human-like anterior-posterior pattern of hemi-spheric
asymmetry in medial chimpanzee brain regions.},
cin = {INM-7},
ddc = {600},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)25},
doi = {10.1101/2020.04.20.046680},
url = {https://juser.fz-juelich.de/record/887930},
}