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@ARTICLE{Yun:864152,
author = {Yun, Seong Dae and Weidner, Ralph and Weiss, Peter H. and
Shah, N. Jon},
title = {{E}valuating the {U}tility of {EPIK} in a {F}inger
{T}apping f{MRI} {E}xperiment using {BOLD} detection and
{E}ffective {C}onnectivity},
journal = {Scientific reports},
volume = {9},
number = {1},
issn = {2045-2322},
address = {[London]},
publisher = {Macmillan Publishers Limited, part of Springer Nature},
reportid = {FZJ-2019-04022},
pages = {10978},
year = {2019},
abstract = {EPI with Keyhole (EPIK) is a hybrid imaging technique that
overcomes many of the performance disadvantages associated
with EPI. Previously, EPIK was shown to provide a higher
temporal resolution and fewer image distortions than EPI
whilst maintaining comparable performance for the detection
of BOLD-based signals. This work carefully examines the
putative enhanced sensitivity of EPIK in a typical fMRI
setting by using a robust fMRI paradigm – visually guided
finger tapping – to demonstrate the advantages of EPIK for
fMRI at 3 T. The data acquired were directly compared to
the community standard fMRI protocol using single-shot EPI
to ascertain a clear comparison. Each sequence was optimised
to offer its highest possible spatial resolution for a given
set of imaging conditions, i.e., EPIK and EPI achieved an
in-planar resolution of 2.08 × 2.08 mm2 with 32 slices
and 3.13 × 3.13 mm2 with 36 slices, respectively. EPIK
demonstrated a number of clear improvements, such as
superior spatial resolution with favourable robustness
against susceptibility artefacts. Both imaging sequences
revealed robust activation within primary motor, premotor
and visual regions, although significantly higher BOLD
amplitudes were detected using EPIK within the primary and
supplementary motor areas. Dynamic causal modelling, in
combination with Bayesian model selection, identified
identical winning models for EPIK and EPI data. Coupling
parameters reflecting task-related modulations and the
connectivity of fixed connections were comparably robust for
both sequences. However, fixed connections from the left
motor cortex to the right visual cortex were estimated as
being significantly more robust for EPIK data.},
cin = {INM-3 / INM-4 / INM-11 / JARA-BRAIN},
ddc = {600},
cid = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-4-20090406 /
I:(DE-Juel1)INM-11-20170113 / $I:(DE-82)080010_20140620$},
pnm = {572 - (Dys-)function and Plasticity (POF3-572)},
pid = {G:(DE-HGF)POF3-572},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:31358817},
UT = {WOS:000477701800081},
doi = {10.1038/s41598-019-47341-y},
url = {https://juser.fz-juelich.de/record/864152},
}