Related Experiment Video
Updated: Oct 13, 2025

Brain Imaging Investigation of the Neural Correlates of Observing Virtual Social Interactions
Published on: July 6, 2011
The neural signatures of social hierarchy-related learning and interaction: A coordinate- and connectivity-based
Siying Li1, Frank Krueger2, Julia A Camilleri3
1Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou 510631 China.
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.
Related Concept Videos
Relationship Formation
Causes of Social Behavior III: Biological and Environmental Influences
Impact of Individuals on Individuals
Scientific Nature of Social Psychology
Causes of Social Behavior I: Actions and Characteristics of Individuals
Causes of Social Behavior II: Cognitive Processes

