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@ARTICLE{Bonkhoff:901836,
author = {Bonkhoff, Anna Katharina and Schirmer, Markus D. and
Bretzner, Martin and Etherton, Mark and Donahue, Kathleen
and Tuozzo, Carissa and Nardin, Marco and Giese, Anne-Katrin
and Wu, Ona and D. Calhoun, Vince and Grefkes, Christian and
Rost, Natalia S.},
title = {{A}bnormal dynamic functional connectivity is linked to
recovery after acute ischemic stroke},
journal = {Human brain mapping},
volume = {42},
number = {7},
issn = {1097-0193},
address = {New York, NY},
publisher = {Wiley-Liss},
reportid = {FZJ-2021-03857},
pages = {2278 - 2291},
year = {2021},
abstract = {The aim of the current study was to explore the whole-brain
dynamic functional connectivity patterns in acute ischemic
stroke (AIS) patients and their relation to short and
long-term stroke severity. We investigated resting-state
functional MRI-based dynamic functional connectivity of 41
AIS patients two to five days after symptom onset.
Re-occurring dynamic connectivity configurations were
obtained using a sliding window approach and k-means
clustering. We evaluated differences in dynamic patterns
between three NIHSS-stroke severity defined groups (mildly,
moderately, and severely affected patients). Furthermore, we
built Bayesian hierarchical models to evaluate the
predictive capacity of dynamic connectivity and examine the
interrelation with clinical measures, such as white matter
hyperintensity lesions. Finally, we established correlation
analyses between dynamic connectivity and AIS severity as
well as 90-day neurological recovery (ΔNIHSS). We
identified three distinct dynamic connectivity
configurations acutely post-stroke. More severely affected
patients spent significantly more time in a configuration
that was characterized by particularly strong connectivity
and isolated processing of functional brain domains
(three-level ANOVA: p < .05, post hoc t tests:
p < .05, FDR-corrected). Configuration-specific time
estimates possessed predictive capacity of stroke severity
in addition to the one of clinical measures. Recovery, as
indexed by the realized change of the NIHSS over time, was
significantly linked to the dynamic connectivity between
bilateral intraparietal lobule and left angular gyrus
(Pearson's r = −.68, p = .003, FDR-corrected). Our
findings demonstrate transiently increased isolated
information processing in multiple functional domains in
case of severe AIS. Dynamic connectivity involving default
mode network components significantly correlated with
recovery in the first 3 months poststroke.},
cin = {INM-3},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:33650754},
UT = {WOS:000624019900001},
doi = {10.1002/hbm.25366},
url = {https://juser.fz-juelich.de/record/901836},
}