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

2 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

Fingerprint

Aphasia
Bipolar Disorder
Schizophrenia
Anhedonia
Sex Characteristics
Outpatients
Therapeutics
Control Groups

Keywords

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

ASJC Scopus subject areas

  • Psychiatry and Mental health

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

Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder. / Strauss, Gregory Paul; Esfahlani, Farnaz Zamani; Kirkpatrick, Brian; Allen, Daniel N.; Gold, James M.; Visser, Katherine Frost; Sayama, Hiroki.

In: Schizophrenia bulletin, Vol. 45, No. 6, 24.10.2019, p. 1319-1330.

Research output: Contribution to journalArticle

Strauss, Gregory Paul ; Esfahlani, Farnaz Zamani ; Kirkpatrick, Brian ; Allen, Daniel N. ; Gold, James M. ; Visser, Katherine Frost ; Sayama, Hiroki. / Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder. In: Schizophrenia bulletin. 2019 ; Vol. 45, No. 6. pp. 1319-1330.
@article{ee271c498a7143e0a00dbb1d77b86821,
title = "Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder",
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.",
keywords = "bipolar disorder, negative symptoms, network analysis, psychosis, schizophrenia",
author = "Strauss, {Gregory Paul} and Esfahlani, {Farnaz Zamani} and Brian Kirkpatrick and Allen, {Daniel N.} and Gold, {James M.} and Visser, {Katherine Frost} and Hiroki Sayama",
year = "2019",
month = "10",
day = "24",
doi = "10.1093/schbul/sby168",
language = "English",
volume = "45",
pages = "1319--1330",
journal = "Schizophrenia Bulletin",
issn = "0586-7614",
publisher = "Oxford University Press",
number = "6",

}

TY - JOUR

T1 - Network Analysis Reveals Which Negative Symptom Domains Are Most Central in Schizophrenia vs Bipolar Disorder

AU - Strauss, Gregory Paul

AU - Esfahlani, Farnaz Zamani

AU - Kirkpatrick, Brian

AU - Allen, Daniel N.

AU - Gold, James M.

AU - Visser, Katherine Frost

AU - Sayama, Hiroki

PY - 2019/10/24

Y1 - 2019/10/24

N2 - 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.

AB - 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.

KW - bipolar disorder

KW - negative symptoms

KW - network analysis

KW - psychosis

KW - schizophrenia

UR - http://www.scopus.com/inward/record.url?scp=85065420079&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85065420079&partnerID=8YFLogxK

U2 - 10.1093/schbul/sby168

DO - 10.1093/schbul/sby168

M3 - Article

C2 - 30649527

AN - SCOPUS:85065420079

VL - 45

SP - 1319

EP - 1330

JO - Schizophrenia Bulletin

JF - Schizophrenia Bulletin

SN - 0586-7614

IS - 6

ER -