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
Affiliations
Ruihan Yang
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
Yina Ma
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
Bao-Bao Pan
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
Meghana A. Bhatt
Virginia Tech Carilion Research Institute, 2 Riverside Circle, Roanoke, VA 24016, USA
Terry Lohrenz
Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia
Hua-Guang Gu
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, China
Jonathan W. Kanen
Department of Psychology, University of Cambridge, Cambridge CB2 3EB, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK
Colin F. Camerer
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
P. Read Montague
Fralin Biomedical Research Institute at VTC, Virginia Polytechnic Institute and State University, Roanoke, Virginia; Wellcome Centre for Human Neuroimaging, University College London, London, UK
Qiang Luo
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; Corresponding author at: 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.
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.
