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@ARTICLE{Chen:851083,
author = {Chen, Taolin and Becker, Benjamin and Camilleri, Julia and
Wang, Li and Yu, Shuqi and Eickhoff, Simon and Feng,
Chunliang},
title = {{A} domain-general brain network underlying emotional and
cognitive interference processing: evidence from
coordinate-based and functional connectivity meta-analyses},
journal = {Brain structure $\&$ function},
volume = {223},
number = {8},
issn = {1863-2661},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2018-04791},
pages = {3813–3840},
year = {2018},
abstract = {The inability to control or inhibit emotional distractors
characterizes a range of psychiatric disorders. Despite the
use of a variety of task paradigms to determine the
mechanisms underlying the control of emotional interference,
a precise characterization of the brain regions and networks
that support emotional interference processing remains
elusive. Here, we performed coordinate-based and functional
connectivity meta-analyses to determine the brain networks
underlying emotional interference. Paradigms addressing
interference processing in the cognitive or emotional domain
were included in the meta-analyses, particularly the Stroop,
Flanker, and Simon tasks. Our results revealed a consistent
involvement of the bilateral dorsal anterior cingulate
cortex, anterior insula, left inferior frontal gyrus, and
superior parietal lobule during emotional interference.
Follow-up conjunction analyses identified correspondence in
these regions between emotional and cognitive interference
processing. Finally, the patterns of functional connectivity
of these regions were examined using resting-state
functional connectivity and meta-analytic connectivity
modeling. These regions were strongly connected as a
distributed system, primarily mapping onto fronto-parietal
control, ventral attention, and dorsal attention networks.
Together, the present findings indicate that a
domain-general neural system is engaged across multiple
types of interference processing and that regulating
emotional and cognitive interference depends on interactions
between large-scale distributed brain networks.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {571 - Connectivity and Activity (POF3-571) / SMHB -
Supercomputing and Modelling for the Human Brain
(HGF-SMHB-2013-2017) / HBP SGA1 - Human Brain Project
Specific Grant Agreement 1 (720270)},
pid = {G:(DE-HGF)POF3-571 / G:(DE-Juel1)HGF-SMHB-2013-2017 /
G:(EU-Grant)720270},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30083997},
UT = {WOS:000447977600020},
doi = {10.1007/s00429-018-1727-9},
url = {https://juser.fz-juelich.de/record/851083},
}