Journal of Northeastern University Natural Science ›› 2019, Vol. 40 ›› Issue (1): 1-6.DOI: 10.12068/j.issn.1005-3026.2019.01.001

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EEGs Feature Induced by Person’s Information Based on Directed Network

CHANG Wen-wen1,2, WANG Hong1, HUA Cheng-cheng1, WANG Qiao-xiu1   

  1. 1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China; 2. Center for Neuroprosthetics, Ecole Polytechnique Federale de Lausanne, Lausanne 1015, Switzerland.
  • Received:2017-10-29 Revised:2017-10-29 Online:2019-01-15 Published:2019-01-28
  • Contact: WANG Hong
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Abstract: Based on the visuo-auditory information of acquaintances and strangers, the possible differences of the cognitive mechanisms were studied by recording EEG signals. Firstly, the ERP signals for different stimuli types were obtained by recording the EEG signals of visuo-auditory stimuli. Then, the directed functional network was constructed by calculating the phase transfer entropy. Finally, network parameters for the key connection were analyzed. The results show that compared with the directed network induced by unfamiliar information, the role of key nodes in the network of familiar information is strengthened, as well as the aggregation ability. The connections of the familiar network tend to be more global, and the information exchange between different brain regions are increased, which is good for the identification of the familiars.

Key words: EEG(electroencephalogram), event related potential(ERP), directed functional network, phase lag entropy, visuo-aduitory stimulus, familiar and unfamiliar recognition

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