Cited by 1,072Mental Health Research TopicsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesPersonality Disorders and Psychopathology

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Can network analysis transform psychopathology?

McNally, Richard J.·2016·Behaviour Research and Therapy

DOI 10.1016/j.brat.2016.06.006

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Abstract

Experimental psychopathology has been the primary path to gaining causal knowledge about variables maintaining mental disorders. Yet a radically different approach to conceptualizing psychopathology promises to advance our understanding, thereby complementing traditional laboratory experiments. In contrast to viewing symptoms as reflective of underlying, latent categories or dimensions, network analysis conceptualizes symptoms as constitutive of mental disorders, not reflective of them. Disorders emerge from the causal interactions among symptoms themselves, and intervening on central symptoms in disorder networks promises to foster rapid recovery. One purpose of this article is to contrast network analysis with traditional approaches, and consider its strengths and limitations. A second purpose is to review novel computational methods that may enable researchers to discern the causal structure of disorders (e.g., Bayesian networks). I close by sketching exciting new developments in methods that have direct implications for treatment.

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McNally, R.J. (2015, November). A network approach to PTSD symptoms in adult survivors of childhood sexual abuse. In: C. A. Levinson, J. Langer (Co-chairs), Network analysis: A symptom perspective of psychopathology. Symposium conducted at the meeting of the Association of Behavioral and Cognitive Therapies, Chicago, IL
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Authors: McNally, R. J.
Affiliations: Harvard University (US)
Corresponding author: McNally, Richard J.
ORCID: McNally, Richard J.
Venue: Behaviour Research and Therapy
Publisher: Elsevier BV
Published: 2016-11
Volume: 86
Pages: 95-104
ISSN: 0005-7967 (ISSN-L)
DOI: 10.1016/j.brat.2016.06.006
OpenAlex: W2469324137
Cited by: 1,072
References: 95
Citations by year: 2026: 140 · 2025: 181 · 2024: 147 · 2023: 139 · 2022: 129 · 2021: 95 · 2020: 87 · 2019: 73 · 2018: 41 · 2017: 34 · 2016: 5
FWCI: 6.74
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Behaviour Research and Therapy (publishedVersion)
PubMed (publishedVersion)
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
Keywords: network analysis, psychopathology, symptom networks, Bayesian networks, computational psychiatry, symptomatic treatment, experimental psychopathology
MeSH terms: Bayes Theorem, Humans, Psychopathology, Models, Statistical, Behavioral Research

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