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A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression
The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581034/ https://www.ncbi.nlm.nih.gov/pubmed/34777038 http://dx.doi.org/10.3389/fpsyt.2021.719490 |
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author | Wichers, Marieke Riese, Harriëtte Hodges, Taylor M. Snippe, Evelien Bos, Fionneke M. |
author_facet | Wichers, Marieke Riese, Harriëtte Hodges, Taylor M. Snippe, Evelien Bos, Fionneke M. |
author_sort | Wichers, Marieke |
collection | PubMed |
description | The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment. |
format | Online Article Text |
id | pubmed-8581034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85810342021-11-12 A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression Wichers, Marieke Riese, Harriëtte Hodges, Taylor M. Snippe, Evelien Bos, Fionneke M. Front Psychiatry Psychiatry The network theory of psychopathology proposes that mental disorders arise from direct interactions between symptoms. This theory provides a promising framework to understand the development and maintenance of mental disorders such as depression. In this narrative review, we summarize the literature on network studies in the field of depression. Four methodological network approaches are distinguished: (i) studies focusing on symptoms at the macro-level vs. (ii) on momentary states at the micro-level, and (iii) studies based on cross-sectional vs. (iv) time-series (dynamic) data. Fifty-six studies were identified. We found that different methodological approaches to network theory yielded largely inconsistent findings on depression. Centrality is a notable exception: the majority of studies identified either positive affect or anhedonia as central nodes. To aid future research in this field, we outline a novel complementary network theory, the momentary affect dynamics (MAD) network theory, to understand the development of depression. Furthermore, we provide directions for future research and discuss if and how networks might be used in clinical practice. We conclude that more empirical network studies are needed to determine whether the network theory of psychopathology can indeed enhance our understanding of the underlying structure of depression and advance clinical treatment. Frontiers Media S.A. 2021-10-28 /pmc/articles/PMC8581034/ /pubmed/34777038 http://dx.doi.org/10.3389/fpsyt.2021.719490 Text en Copyright © 2021 Wichers, Riese, Hodges, Snippe and Bos. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Wichers, Marieke Riese, Harriëtte Hodges, Taylor M. Snippe, Evelien Bos, Fionneke M. A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title | A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title_full | A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title_fullStr | A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title_full_unstemmed | A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title_short | A Narrative Review of Network Studies in Depression: What Different Methodological Approaches Tell Us About Depression |
title_sort | narrative review of network studies in depression: what different methodological approaches tell us about depression |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581034/ https://www.ncbi.nlm.nih.gov/pubmed/34777038 http://dx.doi.org/10.3389/fpsyt.2021.719490 |
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