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The neural signatures of social hierarchy-related learning and interaction: A coordinate- and connectivity-based meta-analysis
- Source :
- NeuroImage, Vol 245, Iss, Pp 118731-(2021)
- Publication 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.
- Subjects :
- Computer science
Cognitive Neuroscience
Temporoparietal junction
Models, Neurological
Neurosciences. Biological psychiatry. Neuropsychiatry
Intraparietal sulcus
Hierarchy, Social
Models, Psychological
Amygdala
Neuroimaging
Functional decoding
medicine
Humans
Learning
Prefrontal cortex
Brain Mapping
Resting-state functional connectivity
Mechanism (biology)
Functional Neuroimaging
Neuropsychology
Cognition
Meta-analysis
medicine.anatomical_structure
Meta-analytic connectivity modeling
Neurology
Social hierarchy
Neuroscience
Reinforcement, Psychology
RC321-571
Subjects
Details
- ISSN :
- 10959572
- Volume :
- 245
- Database :
- OpenAIRE
- Journal :
- NeuroImage
- Accession number :
- edsair.doi.dedup.....99fa5de5f26491f68927228d2d141000