Literature DB >> 33721606

Networks of major depressive disorder: A systematic review.

Matteo Malgaroli1, Adam Calderon2, George A Bonanno2.   

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.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Depression; Heterogeneity; Network analysis; Systematic review

Year:  2021        PMID: 33721606     DOI: 10.1016/j.cpr.2021.102000

Source DB:  PubMed          Journal:  Clin Psychol Rev        ISSN: 0272-7358


  12 in total

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Review 4.  The causal systems approach to prolonged grief: Recent developments and future directions.

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5.  Network Analysis of Depressive Symptomatology in Underweight and Obese Adults.

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7.  Estimating the symptom structure of bipolar disorder via network analysis: Energy dysregulation as a central symptom.

Authors:  Richard J McNally; Donald J Robinaugh; Thilo Deckersbach; Louisa G Sylvia; Andrew A Nierenberg
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8.  Patient Expectations and Experiences of Antidepressant Therapy for Major Depressive Disorder: A Qualitative Study.

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Journal:  Neuropsychiatr Dis Treat       Date:  2021-09-23       Impact factor: 2.570

9.  Emotional blunting in patients with depression. Part I: clinical characteristics.

Authors:  Michael Cronquist Christensen; Hongye Ren; Andrea Fagiolini
Journal:  Ann Gen Psychiatry       Date:  2022-04-04       Impact factor: 3.455

Review 10.  No add-on effect of tDCS on fatigue and depression in chronic stroke patients: A randomized sham-controlled trial combining tDCS with computerized cognitive training.

Authors:  Kristine M Ulrichsen; Knut K Kolskår; Geneviève Richard; Mads Lund Pedersen; Dag Alnaes; Erlend S Dørum; Anne-Marthe Sanders; Sveinung Tornås; Luigi A Maglanoc; Andreas Engvig; Hege Ihle-Hansen; Jan E Nordvik; Lars T Westlye
Journal:  Brain Behav       Date:  2022-06-06       Impact factor: 3.405

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