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@ARTICLE{Camilleri:255990,
author = {Camilleri, Julia and Reid, Andrew and Müller, Veronika and
Grefkes, Christian and Amunts, Katrin and Eickhoff, Simon},
title = {{M}ulti-modal imaging of neural correlates of motor speed
performance in the {T}rail {M}aking {T}est},
journal = {Frontiers in neurology},
volume = {6},
issn = {1664-2295},
address = {Lausanne},
publisher = {Frontiers Research Foundation},
reportid = {FZJ-2015-06046},
pages = {219},
year = {2015},
abstract = {The assessment of motor and executive functions following
stroke or traumatic brain injury is a key aspect of
impairment evaluation and used to guide further therapy. In
clinical routine such assessments are largely dominated by
pen-and-paper tests. While these provide standardized,
reliable and ecologically valid measures of the individual
level of functioning, rather little is yet known about their
neurobiological underpinnings. Therefore, the aim of this
study was to investigate brain regions and their associated
networks that are related to upper extremity motor function,
as quantified by the Motor Speed subtest of the Trail Making
Test (TMT-MS). Whole brain voxel-based morphometry and whole
brain tract-based spatial statistics were used to
investigate the association between TMT-MS performance with
gray matter volume (GMV) and white matter integrity
respectively. While results demonstrated no relationship to
local white-matter properties, we found a significant
correlation between TMT-MS performance and GMV of the lower
bank of the inferior frontal sulcus, a region associated
with cognitive processing, as indicated by assessing its
functional profile by the BrainMap database. Using this
finding as a seed region, we further examined and compared
networks as reflected by resting state connectivity,
meta-analytic-connectivity modeling, structural covariance
and probabilistic tractography. While differences between
the different approaches were observed, all approaches
converged on a network comprising regions that overlap with
the multiple-demand network. Our data therefore indicates
that performance may primarily depend on executive function,
thus suggesting that motor speed in a more naturalistic
setting should be more associated with executive rather than
primary motor function. Moreover, results showed that while
there were differences between the approaches, a convergence
indicated that common networks can be revealed across highly
divergent methods.},
cin = {INM-1 / INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-1-20090406 / I:(DE-Juel1)INM-3-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / HBP - Human
Brain Project (284941)},
pid = {G:(DE-HGF)POF3-571 / G:(EU-Grant)284941},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000363938800001},
pubmed = {pmid:26579066},
doi = {10.3389/fneur.2015.00219},
url = {https://juser.fz-juelich.de/record/255990},
}