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Abstract #4014

Brain-to-brain communication during eye contact: A data-driven approach based on the dfMRI

Ray Lee1, Nim Tottenham2, and Paul Sajda3
1Zuckerman Institute, Columbia University, New York, NY, United States, 2Psychology, Columbia University, New York, NY, United States, 3Biomedical engineering, Columbia University, New York, NY, United States

A comprehensive picture of brain-to-brain interaction during eye contact is presented at the brain network level. It consists of five dyadic brain networks (two exogenous, two endogenous, and one exogenous-to-endogenous network), which are derived from a novel data-driven approach based on the dyadic fMRI data. Our experimental results not only explicitly map out the intricate relations between imitation, empathy, mentalization, and face cognization network during eye contact, but also provide a quantitative measure on the information transmission between dyads. Thus, it effectively established the foundation for quantifying human social communication with dyadic fMRI.

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