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@ARTICLE{GENON:828038,
author = {GENON, Sarah and Reid, Andrew and Li, Hai and Fan,
Lingzhong and Müller, Veronika and Cieslik, Edna and
Hoffstaedter, Felix and Langner, Robert and Grefkes,
Christian and Laird, Angela R. and Fox, Peter T. and Jiang,
Tianzi and Amunts, Katrin and Eickhoff, Simon},
title = {{T}he heterogeneity of the left dorsal premotor cortex
evidenced by multimodal connectivity-based parcellation and
functional characterization},
journal = {NeuroImage},
volume = {170},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {FZJ-2017-02052},
pages = {400-411},
year = {2018},
abstract = {Despite the common conception of the dorsal premotor cortex
(PMd) as a single brain region, its diverse connectivity
profiles and behavioral heterogeneity argue for a
differentiated organization of the PMd. A previous study
revealed that the right PMd is characterized by a
rostro-caudal and a ventro-dorsal distinction dividing it
into five subregions: rostral, central, caudal, ventral and
dorsal. The present study assessed whether a similar
organization is present in the left hemisphere, by
capitalizing on a multimodal data-driven approach combining
connectivity-based parcellation (CBP) based on meta-analytic
modeling, resting-state functional connectivity, and
probabilistic diffusion tractography. The resulting PMd
modules were then characterized based on multimodal
functional connectivity and a quantitative analysis of
associated behavioral functions. Analyzing the clusters
consistent across all modalities revealed an organization of
the left PMd that mirrored its right counterpart to a large
degree. Again, caudal, central and rostral modules reflected
a cognitive-motor gradient and a premotor eye-field was
found in the ventral part of the left PMd. In addition, a
distinct module linked to abstract cognitive functions was
observed in the rostro-ventral left PMd across all CBP
modalities, implying greater differentiation of higher
cognitive functions for the left than the right PMd.},
cin = {INM-1 / INM-3 / INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-3-20090406 /
I:(DE-Juel1)INM-7-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / HBP SGA1 -
Human Brain Project Specific Grant Agreement 1 (720270) /
SMHB - Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017)},
pid = {G:(DE-HGF)POF3-571 / G:(EU-Grant)720270 /
G:(DE-Juel1)HGF-SMHB-2013-2017},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:28213119},
UT = {WOS:000429940900032},
doi = {10.1016/j.neuroimage.2017.02.034},
url = {https://juser.fz-juelich.de/record/828038},
}