Network structures of social functioning domains in schizophrenia and bipolar disorder: a preliminary study
Seunghyong Ryu 1, Hyeongrae Lee 2, Dong-Kyun Lee 2, Hee Jung Nam 3, Young-Chul Chung 4, Sung-Wan Kim 1*
1Department of Psychiatry, Chonnam National University Medical School, Gwangju, Republic of Korea, 2Department of Mental Health Research, National Center for Mental Health, Seoul, Republic of Korea, 3Department of Psychiatry, Seoul Medical Center, Seoul, Republic of Korea, 4Department of Psychiatry, Chonbuk National University Medical School, Jeonju, Republic of Korea
Received: February 24, 2020; Revised: March 30, 2020; Accepted: March 31, 2020; Published online: March 31, 2020.
© The Korean College of Neuropsychopharmacology. All rights reserved.

Abstract
Objective: This study used network analyses to examine network structures reflecting interactions between specific domains of social functioning in schizophrenia (SZ) and bipolar disorder (BD).
Methods: We used the WHO Disability Assessment Schedule 2.0 to assess six domains of social functioning (‘cognition’, ‘mobility’, ‘self-care’, ‘getting along’, ‘life activities’, and ‘participation’) in 143 patients with SZ, 81 patients with BD, and 106 healthy subjects. We constructed regularized partial correlation networks, estimated network centrality and edge strength, tested network stability, and compared SZ and BD network structures.
Results: Patients with SZ showed a significantly higher level of functional disability than patients with BD. In the networks we constructed, ‘cognition’ was the most central domain of social functioning in both SZ and BD. The ‘cognition’ domain was primarily associated with the ‘getting along’ domain in the SZ network and the ‘life activities’ domain in the BD network. We found no significant group-level differences in network structures for SZ versus BD.
Conclusion: Our results suggest that cognition may play a pivotal role in social functioning in both SZ and BD. In addition, domains of social functioning in SZ and BD have similar network structures despite the higher level of disability in SZ compared to BD.
Keywords: Network analysis, Social functioning, Schizophrenia, Bipolar disorder, Cognition


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