期刊
PLOS ONE
卷 5, 期 12, 页码 -出版社
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0014187
关键词
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资金
- National Institutes of Health [RO1EB006433, RO1EB007920]
- National Science Foundation CBET [0933067]
- COST Action NeuroMath [BM0601]
- Compagnia San Paolo
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [0933067] Funding Source: National Science Foundation
Understanding the neural mechanisms responsible for human social interactions is difficult, since the brain activities of two or more individuals have to be examined simultaneously and correlated with the observed social patterns. We introduce the concept of hyper-brain network, a connectivity pattern representing at once the information flow among the cortical regions of a single brain as well as the relations among the areas of two distinct brains. Graph analysis of hyper-brain networks constructed from the EEG scanning of 26 couples of individuals playing the Iterated Prisoner's Dilemma reveals the possibility to predict non-cooperative interactions during the decision-making phase. The hyper-brain networks of two-defector couples have significantly less inter-brain links and overall higher modularity-i.e., the tendency to form two separate subgraphs-than couples playing cooperative or tit-for-tat strategies. The decision to defect can be read'' in advance by evaluating the changes of connectivity pattern in the hyper-brain network.
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