Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder

Gregory Paul Strauss, Farnaz Zamani Esfahlani, Brian Kirkpatrick, Daniel N. Allen, James M. Gold, Katherine Frost Visser, Hiroki Sayama

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Network analysis was used to examine how densely interconnected individual negative symptom domains are, whether some domains are more central than others, and whether sex influenced network structure. Participants included outpatients with schizophrenia (SZ; n = 201), a bipolar disorder (BD; n = 46) clinical comparison group, and healthy controls (CN; n = 27) who were rated on the Brief Negative Symptom Scale. The mutual information measure was used to construct negative symptom networks. Groups were compared on macroscopic network properties to evaluate overall network connectedness, and microscopic properties to determine which domains were most central. Macroscopic analyses indicated that patients with SZ had a less densely connected negative symptom network than BD or CN groups, and that males with SZ had less densely connected networks than females. Microscopic analyses indicated that alogia and avolition were most central in the SZ group, whereas anhedonia was most central in BD and CN groups. In addition, blunted affect, alogia, and asociality were most central in females with SZ, and alogia and avolition were most central in males with SZ. These findings suggest that negative symptoms may be highly treatment resistant in SZ because they are not very densely connected. Less densely connected networks may make treatments less likely to achieve global reductions in negative symptoms because individual domains function in isolation with little interaction. Sex differences in centralities suggest that the search for pathophysiological mechanisms and targeted treatment development should be focused on different sets of symptoms in males and females.

Original languageEnglish
Pages (from-to)1319-1330
Number of pages12
JournalSchizophrenia bulletin
Volume45
Issue number6
DOIs
Publication statusPublished - 2019 Oct 24
Externally publishedYes

Keywords

  • bipolar disorder
  • negative symptoms
  • network analysis
  • psychosis
  • schizophrenia

ASJC Scopus subject areas

  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder'. Together they form a unique fingerprint.

  • Cite this

    Strauss, G. P., Esfahlani, F. Z., Kirkpatrick, B., Allen, D. N., Gold, J. M., Visser, K. F., & Sayama, H. (2019). Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder. Schizophrenia bulletin, 45(6), 1319-1330. https://doi.org/10.1093/schbul/sby168