TY - JOUR
T1 - Impaired Self-Referential Cognitive Processing in Bipolar Disorder
T2 - A Functional Connectivity Analysis
AU - Zhang, Jian
AU - Liu, Tiantian
AU - Shi, Zhongyan
AU - Tan, Shuping
AU - Suo, Dingjie
AU - Dai, Chunyang
AU - Wang, Li
AU - Wu, Jinglong
AU - Funahashi, Shintaro
AU - Liu, Miaomiao
N1 - Publisher Copyright:
Copyright © 2022 Zhang, Liu, Shi, Tan, Suo, Dai, Wang, Wu, Funahashi and Liu.
PY - 2022/2/7
Y1 - 2022/2/7
N2 - 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.
AB - 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.
KW - bipolar disorder
KW - functional connectivity
KW - machine learning classification
KW - phase lag index
KW - social cognitive processing
UR - http://www.scopus.com/inward/record.url?scp=85124949283&partnerID=8YFLogxK
U2 - 10.3389/fnagi.2022.754600
DO - 10.3389/fnagi.2022.754600
M3 - Article
AN - SCOPUS:85124949283
SN - 1663-4365
VL - 14
JO - Frontiers in Aging Neuroscience
JF - Frontiers in Aging Neuroscience
M1 - 754600
ER -