Temporal-Spatial Features of Intention Understanding Based on EEG-fNIRS Bimodal Measurement

Sheng Ge, Meng Yuan Ding, Zheng Zhang, Pan Lin, Jun Feng Gao, Rui Min Wang, Gao Peng Sun, Keiji Iramina, Hui Hua Deng, Yuan Kui Yang, Yue Leng

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Understanding the actions of other people is a key component of social interaction. This paper used an electroencephalography and functional near infrared spectroscopy (EEG-fNIRS) bimodal system to investigate the temporal-spatial features of action intention understanding. We measured brain activation while participants observed three actions: 1) grasping a cup for drinking; 2) grasping a cup for moving; and 3) no meaningful intention. Analysis of EEG maximum standardized current density revealed that brain activation transitioned from the left to the right hemisphere. EEG-fNIRS source analysis results revealed that both the mirror neuron system and theory of mind network are involved in action intention understanding, and the extent to which these two systems are engaged appears to be determined by the clarity of the observed intention. These findings indicate that action intention understanding is a complex and dynamic process.

Original languageEnglish
Article number7968269
Pages (from-to)14245-14258
Number of pages14
JournalIEEE Access
Publication statusPublished - 2017

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)


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