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@ARTICLE{KharabianMasouleh:875204,
author = {Kharabian Masouleh, Shahrzad and Eickhoff, Simon B and
Zeighami, Yashar and Lewis, Lindsay B and Dahnke, Robert and
Gaser, Christian and Chouinard-Decorte, Francois and Lepage,
Claude and Scholtens, Lianne H and Hoffstaedter, Felix and
Glahn, David C and Blangero, John and Evans, Alan C and
Genon, Sarah and Valk, Sofie L},
title = {{I}nfluence of {P}rocessing {P}ipeline on {C}ortical
{T}hickness {M}easurement},
journal = {Cerebral cortex},
volume = {30},
number = {9},
issn = {1047-3211},
address = {Oxford},
publisher = {Oxford Univ. Press},
reportid = {FZJ-2020-01872},
pages = {5014–5027},
year = {2020},
note = {The Deutsche Forschungsgemeinschaft (DFG, GE 2835/1-1 and
EI 816/4-1), the Helmholtz Portfolio Theme “Supercomputing
and Modelling for the Human Brain,” and the European
Union’s Horizon 2020 Research and Innovation Programme
under Grant Agreement No. 720270 (HBP SGA1) and Grant
Agreement No. 785907 (HBP SGA2).Notes},
abstract = {In recent years, replicability of neuroscientific findings,
specifically those concerning correlates of morphological
properties of gray matter (GM), have been subject of major
scrutiny. Use of different processing pipelines and
differences in their estimates of the macroscale GM may play
an important role in this context. To address this issue,
here, we investigated the cortical thickness estimates of
three widely used pipelines. Based on analyses in two
independent large-scale cohorts, we report high levels of
within-pipeline reliability of the absolute cortical
thickness-estimates and comparable spatial patterns of
cortical thickness-estimates across all pipelines. Within
each individual, absolute regional thickness differed
between pipelines, indicating that in-vivo thickness
measurements are only a proxy of actual thickness of the
cortex, which shall only be compared within the same
software package and thickness estimation technique.
However, at group level, cortical thickness-estimates
correlated strongly between pipelines, in most brain
regions. The smallest between-pipeline correlations were
observed in para-limbic areas and insula. These regions also
demonstrated the highest interindividual variability and the
lowest reliability of cortical thickness-estimates within
each pipeline, suggesting that structural variations within
these regions should be interpreted with caution.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {572 - (Dys-)function and Plasticity (POF3-572) / SMHB -
Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017) / HBP SGA2 - Human Brain Project
Specific Grant Agreement 2 (785907) / HBP SGA1 - Human Brain
Project Specific Grant Agreement 1 (720270)},
pid = {G:(DE-HGF)POF3-572 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
G:(EU-Grant)785907 / G:(EU-Grant)720270},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:32377664},
UT = {WOS:000580997100021},
doi = {10.1093/cercor/bhaa097},
url = {https://juser.fz-juelich.de/record/875204},
}