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@ARTICLE{Jiang:1024835,
author = {Jiang, Lin and Liang, Yi and Genon, Sarah and He, Runyang
and Yang, Qingqing and Yi, Chanlin and Yu, Liang and Yao,
Dezhong and Eickhoff, Simon B. and Dong, Debo and Li, Fali
and Xu, Peng},
title = {{S}patial–rhythmic network as a biomarker of familial
risk for psychotic bipolar disorder},
journal = {Nature Mental Health},
volume = {1},
number = {11},
issn = {2731-6076},
address = {London},
publisher = {Nature Publishing Group UK},
reportid = {FZJ-2024-02501},
pages = {887 - 899},
year = {2023},
abstract = {Neuronal rhythms with different temporospatial dynamics are
prominent signatures of brain operation. Yet, the
synchronous coupling across multiple rhythms and spatially
distributed subsystems, as well as its role in brain
cognition and disease, remains mysterious. Here we proposed
a conceptually new framework to construct the large-scale
spatial–rhythmic network (SRN) and apply it to
case–control P300 electroencephalogram datasets. Results
show that SRN configurations are essential substrates of
attentional allocation and immediate memory for healthy
controls (N = 235), yielding prominent inter-rhythmic
interactions between the δ-frontoparietal/δ-limbic network
and other rhythmic subnetworks during P300 generation.
Importantly, SRN deviances shared by patients with bipolar
disorder (N = 188) and their first-degree relatives
(N = 201) might be putative electrophysiological
biomarkers for clinical screening of individuals at high
familial risk of disease onset. The findings emphasize that
configurations of SRNs have a previously unrecognized role
in cognitive (dys)functions.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525)},
pid = {G:(DE-HGF)POF4-5252},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001390101200002},
doi = {10.1038/s44220-023-00143-8},
url = {https://juser.fz-juelich.de/record/1024835},
}