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How do network structures of depressive symptoms differ between asian patients with bipolar depression and those with unipolar depression?

  • Heenchan Yoon
  • , Han Seul Kim
  • , Seonjae Lee
  • , Tae Young Choi
  • , Sung Won Jung
  • , Hyung Jun Yoon
  • , Hyun Soo Kim
  • , Hyun Ju Yang
  • , Narae Jeong
  • , Eunsoo Moon
  • , Ji Hyun Baek
  • , Tian Mei Si
  • , Roy Abraham Kallivayalil
  • , Andi J. Tanra
  • , Amir Hossein Jalali Nadoushan
  • , Kok Yoon Chee
  • , Afzal Javed
  • , Kang Sim
  • , Pornjira Pariwatcharakul
  • , Shih Ku Lin
  • Norman Sartorius, Naotaka Shinfuku, Takahiro A. Kato, Masoud Kamali, Andrew A. Nierenberg, Seon Cheol Park
  • Hanyang University
  • Daegu Catholic University Hospital
  • Keimyung University
  • Chosun University
  • Dong-A University College of Medicine
  • Jeju National University School of Medicine
  • Yong-In Mental Hospital Hospital
  • Pusan National University School of Medicine
  • Samsung Medical Center, Sungkyunkwan university
  • Peking University Institute of Mental Health
  • Pushpagiri Institute of Medical Sciences and Research Centre
  • Hasanuddin University
  • School of Medicine (IUMS)
  • Kuala Lumpur Hospital
  • Pakistan Psychiatric Research Centre
  • Buangkok Green Medical Park
  • Linkou Chang Gung Memorial Hospital
  • Taipei City Hospital Taiwan
  • Association for the Improvement of Mental Health Programs
  • Seinan Gakuin University
  • Hokkaido University Graduate School of Medicine
  • Massachusetts General Hospital
  • Harvard Medical School
  • Hanyang University Guri Hospital

Research output: Contribution to journalArticlepeer-review

Abstract

Objective: The investigation focused on differences in the overall network structures of depressive symptoms between patients with bipolar depression (BD) and those with unipolar depression (UD), emphasizing their unique symptom dynamics and centralities. Methods: Data from the Research on Asian Psychotropic Prescription Patterns for Antidepressants, Phase 3 (REAP-AD3), were used to estimate depressive symptom networks for 240 patients with BD and 2905 patients with UD. A Network Comparison Test (NCT) was conducted to evaluate differences in global strength, edge weights, and node centralities between the two networks. An additional NCT was performed using the same sample size in both groups. Results: Anhedonia emerged as the most central symptom in BD, while persistent sadness was the most central symptom in UD. Global strength was higher in the BD network in the full-sample NCT (p = 0.04), but not in the equal sample-size analysis (p = 0.20). However, no significant differences were identified in overall network structure invariance. Conclusions: These findings underscore distinct depressive symptom networks in BD and UD. Anhedonia and energy dysregulation were prominent in BD, whereas persistent sadness and self-rumination were more pronounced in UD. Despite the non-significance of other NCT results, the full-sample pairwise network comparison suggested that BD patients exhibit a more integrated symptom structure than UD patients, with stronger overall connectivity between symptoms, which may be linked to neurobiological distinctions such as widespread abnormalities in white matter connectivity and increased within-network connectivity in BD.

Original languageEnglish
Article number105062
JournalAsian Journal of Psychiatry
Volume122
DOIs
Publication statusPublished - Aug 2026

Keywords

  • Anhedonia
  • Bipolar depression
  • Network analysis
  • Network comparison test
  • Persistent sadness
  • Unipolar depression

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