Abstract
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.
Highlights
Bipolar disorder (BD) is a common psychiatric illness that is characterized by extreme changes in mood between mania and depression
We used brain functional connectivity to address the theoretical relationship between these brain functional network disturbances and the dysregulation of self-reference processing for BD
Our main findings were as follows: (1) patients with BD were slower to respond for self and other referential tasks and scored lower than normal; (2) for patients with BD, there was a lower TF energy of the whole brain, and the global connection strength of the EEG network was significantly reduced in the theta and alpha frequency bands, especially during self-referential processing; (3) the global topological organization in patients with BD was transformed, such as an increased path length, decreased network clustering, and a lower nodal degree in self and other referential processing; and (4) from machine learning classification calculations, it was found that the brain connection had a good classification accuracy, especially the topological organization parameters of the network
Summary
Bipolar disorder (BD) is a common psychiatric illness that is characterized by extreme changes in mood between mania and depression. BD has a more complex clinical presentation and a course, a more difficult treatment, a poorer prognosis, and a higher risk of suicide (Mathers et al, 2006; Crump et al, 2013; Librenza-Garcia et al, 2017). Neurocognitive deficits have been shown in patients with BD, such as attention and memory deficits and damage in language and motor functions (Dols et al, 2018). Many studies have identified that patients with BD have abnormalities in self-referential cognition, including lack of self-confidence (Jones et al, 2005), excessive introspection (Thomas et al, 2007), and dysfunctional self-attitudes (Scott and Pope, 2003). Self-referential processing is an important component of self and social cognitio
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
