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@ARTICLE{Li:902971,
author = {Li, Siying and Krueger, Frank and Camilleri, Julia and
Eickhoff, Simon B. and Qu, Chen},
title = {{T}he neural signatures of social hierarchy-related
learning and interaction: {A} coordinate- and
connectivity-based meta-analysis},
journal = {NeuroImage},
volume = {245},
issn = {1053-8119},
address = {Orlando, Fla.},
publisher = {Academic Press},
reportid = {FZJ-2021-04717},
pages = {118731 -},
year = {2021},
abstract = {Numerous neuroimaging studies have investigated the neural
mechanisms of two mutually independent yet closely related
cognitive processes aiding humans to navigate complex
societies: social hierarchy-related learning (SH-RL) and
social hierarchy-related interaction (SH-RI). To integrate
these heterogeneous results into a more fine-grained and
reliable characterization of the neural basis of social
hierarchy, we combined coordinate-based meta-analyses with
connectivity and functional decoding analyses to understand
the underlying neuropsychological mechanism of SH-RL and
SH-RI. We identified the anterior insula and temporoparietal
junction (dominance detection), medial prefrontal cortex
(information updating and computation), and intraparietal
sulcus region, amygdala, and hippocampus (social hierarchy
representation) as consistent activated brain regions for
SH-RL, but the striatum, amygdala, and hippocampus
associated with reward processing for SH-RI. Our results
provide an overview of the neural architecture of the
neuropsychological processes underlying how we understand,
and interact within, social hierarchy.},
cin = {INM-7},
ddc = {610},
cid = {I:(DE-Juel1)INM-7-20090406},
pnm = {5251 - Multilevel Brain Organization and Variability
(POF4-525)},
pid = {G:(DE-HGF)POF4-5251},
typ = {PUB:(DE-HGF)36 / PUB:(DE-HGF)16},
pubmed = {34788662},
UT = {WOS:000722211600005},
doi = {10.1016/j.neuroimage.2021.118731},
url = {https://juser.fz-juelich.de/record/902971},
}