Dynamic neural reconfiguration for distinct strategies during competitive social interactions

Ruihan Yang; Yina Ma; Bao-Bao Pan; Meghana A Bhatt; Terry Lohrenz; Hua-Guang Gu; Jonathan W Kanen; Colin F Camerer; P Read Montague; Qiang Luo

doi:10.1016/j.neuroimage.2022.119585

Dynamic neural reconfiguration for distinct strategies during competitive social interactions

Neuroimage. 2022 Nov:263:119585. doi: 10.1016/j.neuroimage.2022.119585. Epub 2022 Aug 25.

Authors

Ruihan Yang¹, Yina Ma², Bao-Bao Pan³, Meghana A Bhatt⁴, Terry Lohrenz⁵, Hua-Guang Gu³, Jonathan W Kanen⁶, Colin F Camerer⁷, P Read Montague⁸, Qiang Luo⁹

Affiliations

¹ National Clinical Research Center for Aging and Medicine at Huashan Hospital, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China; State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Human Phenome Institute, Fudan University, Shanghai 200032, China.
² State Key Laboratory of Cognitive Neuroscience, Beijing Key Laboratory of Brain Imaging and Connectomics, Learning and IDG-McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
³ School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China.
⁴ Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA.
⁵ Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia.
⁶ Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK.
⁷ Computation and Neural Systems Program, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA; Department of Humanities and Social Sciences, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA.
⁸ Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia; Wellcome Centre for Human Neuroimaging, University College London, London, UK.
⁹ National Clinical Research Center for Aging and Medicine at Huashan Hospital, Ministry of Education-Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China; State Key Laboratory of Medical Neurobiology and Ministry of Education Frontiers Center for Brain Science, Institutes of Brain Science and Human Phenome Institute, Fudan University, Shanghai 200032, China; Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai 200241, China. Electronic address: qluo@fudan.edu.cn.

PMID: 36030063
DOI: 10.1016/j.neuroimage.2022.119585

Abstract

Information exchange between brain regions is key to understanding information processing for social decision-making, but most analyses ignore its dynamic nature. New insights on this dynamic might help us to uncover the neural correlates of social cognition in the healthy population and also to understand the malfunctioning neural computations underlying dysfunctional social behavior in patients with mental disorders. In this work, we used a multi-round bargaining game to detect switches between distinct bargaining strategies in a cohort of 76 healthy participants. These switches were uncovered by dynamic behavioral modeling using the hidden Markov model. Proposing a novel model of dynamic effective connectivity to estimate the information flow between key brain regions, we found a stronger interaction between the right temporoparietal junction (rTPJ) and the right dorsolateral prefrontal cortex (rDLPFC) for the strategic deception compared with the social heuristic strategies. The level of deception was associated with the information flow from the Brodmann area 10 to the rTPJ, and this association was modulated by the rTPJ-to-rDLPFC information flow. These findings suggest that dynamic bargaining strategy is supported by dynamic reconfiguration of the rDLPFC-and-rTPJ interaction during competitive social interactions.

Keywords: Dynamic behavior modeling; Dynamic brain network; Information flow; Strategic deception.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Brain
Brain Mapping*
Humans
Magnetic Resonance Imaging
Prefrontal Cortex / diagnostic imaging
Social Behavior
Social Interaction*