Networks of major depressive disorder: A systematic review. (April 2021)

• Record Type: Journal Article
• Authors: Malgaroli, Matteo; Calderon, Adam; Bonanno, George A.
• Is Part Of: Clinical psychology review. Volume 85(2021)
• Publication Date: 2021-04
• Subjects: Depression -- Network analysis -- Heterogeneity -- Systematic review; Clinical psychology -- Periodicals; Psychology, Pathological -- Periodicals; Psychotherapy -- Periodicals; Psychology, Clinical -- Periodicals; Electronic journals; 616.89
• DOI: 10.1016/j.cpr.2021.102000
• Languages: English
• ISSNs: 0272-7358

Abstract

Abstract: There has been a marked increase of network studies of Major Depressive Disorder (MDD). Despite rapidly growing contributions, their findings have yet to be systematically aggregated and examined. We therefore conducted a systematic review of depression network studies using PRISMA guidelines. A total of 254 clinical and population studies were collected from ISI's Web of Science and PsycINFO, between January 2010 to May 2020. A total of 23 between-subject studies were included for review, resulting in 58 cross-sectional networks. To determine their most critical symptoms and their connections, we analyzed strength centrality rankings, and aggregated the most robust symptoms connections into a summary network. Results indicated substantial variability between study samples, depression measures, and network features. Fatigue and Depressed Mood were the most central symptoms, while Weight changes tended to have the weakest centrality. Depressed Mood and Fatigue formed two separated symptoms communities characterized by recurrent connections, with Mood-Anhedonia as the most frequent edge of MDD. Network analysis informed our understanding of MDD, suggesting the critical role of Fatigue and Depressed Mood. The study's findings are discussed in their clinical and methodological implications, including future directions for network studies of MDD. Highlights: We reviewed 58 networks to identify the most crucial symptoms Fatigue & Mood were consistently central symptoms of MDD across studies Fatigue & Mood formed separate Communities of robustly interconnected symptoms Mood & Anhedonia were the most frequently associated symptoms Network Analysis helped tease heterogeneity of methods and measures of MDD