Impaired Self-Referential Cognitive Processing in Bipolar Disorder: A Functional Connectivity Analysis

Jian Zhang, Tiantian Liu, Zhongyan Shi, Shuping Tan, Dingjie Suo, Chunyang Dai, Li Wang, Jinglong Wu, Shintaro Funahashi, Miaomiao Liu

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Patients with bipolar disorder have deficits in self-referenced information. The brain functional connectivity during social cognitive processing in bipolar disorder is unclear. Electroencephalogram (EEG) was recorded in 23 patients with bipolar disorder and 19 healthy comparison subjects. We analyzed the time-frequency distribution of EEG power for each electrode associated with self, other, and font reflection conditions and used the phase lag index to characterize the functional connectivity between electrode pairs for 4 frequency bands. Then, the network properties were assessed by graph theoretic analysis. The results showed that bipolar disorder induced a weaker response power and phase lag index values over the whole brain in both self and other reflection conditions. Moreover, the characteristic path length was increased in patients during self-reflection processing, whereas the global efficiency and the node degree were decreased. In addition, when discriminating patients from normal controls, we found that the classification accuracy was high. These results suggest that patients have impeded integration of attention, memory, and other resources of the whole brain, resulting in a deficit of efficiency and ability in self-referential processing.

Original languageEnglish
Article number754600
JournalFrontiers in Aging Neuroscience
Publication statusPublished - Feb 7 2022


  • bipolar disorder
  • functional connectivity
  • machine learning classification
  • phase lag index
  • social cognitive processing

ASJC Scopus subject areas

  • Ageing
  • Cognitive Neuroscience


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