EEG based functional connectivity analysis of human pain empathy towards humans and robots.

Journal: Neuropsychologia
Published Date:

Abstract

Humans can show emotional reactions toward humanoid robots, such as empathy. Previous neuroimaging studies have indicated that neural responses of empathy for others' pain are modulated by an early automatic emotional sharing and a late controlled cognitive evaluation process. Recent studies about pain empathy for robots found humans present similar empathy process towards humanoid robots under painful stimuli as well as to humans. However, the whole-brain functional connectivity and the spatial dynamics of neural activities underlying empathic processes are still unknown. In the present study, the functional connectivity was investigated for ERPs recorded from 18 healthy adults who were presented with pictures of human hand and robot hand under painful and non-painful situations. Functional brain networks for both early and late empathy responses were constructed and a new parameter, empathy index (EI), was proposed to represent the empathy ability of humans quantitatively. We found that the mutual dependences between early ERP components was significantly decreased, but for the late components, there were no significant changes. The mutual dependences for human hand stimuli were larger than to robot hand stimuli for early components, but not for late components. The connectivity weights for early components were larger than late components. EI value shows significant difference between painful and non-painful stimuli, indicating it is a good indicator to represent the empathy of humans. This study enriches our understanding of the neurological mechanisms implicated in human empathy, and provides evidence of functional connectivity for both early and late responses of pain empathy towards humans and robots.

Authors

  • Wenwen Chang
    School of Electronic and Information Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China. Electronic address: changww2013@126.com.
  • Hong Wang
    Department of Cardiology, Liuzhou Workers' Hospital, The Fourth Affiliated Hospital of Guangxi Medical University, Liuzhou, China.
  • Guanghui Yan
    School of Electronic and Information Engineering, Lanzhou Jiaotong University, 730070, Lanzhou, China. Electronic address: yanguanghui@mail.lzjtu.cn.
  • Zhiguo Lu
    Library of Shanghai University, Shanghai University, Shanghai, China.
  • Chong Liu
    * Department of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, P. R. China.
  • Chengcheng Hua
    * Department of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, P. R. China.