Can network analysis transform psychopathology?

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

927 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Philosophy

View Paper: https://www.semanticscholar.org/paper/49c73545bbdeba8133ca82bde39d02c60456b670

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Citations in the corpus

Social Anxiety Disorder as a Densely Interconnected Network of Fear and Avoidance for Social Situations (2017, background): “Because turning off a highly central node can produce a beneficial cascade of downstream benefits that fosters recovery from disorder (McNally 2016; Valente 2012), this knowledge also yields strong clinical implications—i.e., pointing to key situations for exposure therapy.”
Moving Forward: Challenges and Directions for Psychopathological Network Theory and Methodology (2017, background): “This is especially so for common causes with clear material referents such as losing a job or perceived stress, which differs from more diffuse or abstract conceptualizations of common causes such as “depression” for depression symptoms (McNally, 2016).”
Unpacking Rumination and Executive Control: A Network Perspective (2017, methodology): “Studying social anxiety disorder, Heeren and McNally (2016) expanded network approaches beyond symptoms to include laboratory measures of cognition and behavior.”
Transdiagnostic Approaches to Mental Health Problems: Current Status and Future Directions (2020, background): “According to this analysis, the nature and dynamics of these interactive networks should be the prime clinical focus (McNally, 2016).”
Bridge Centrality: A Network Approach to Understanding Comorbidity (2019, background): “An emerging approach to psychopathology and comorbidity is the network model (Borsboom, 2017; Borsboom & Cramer, 2013; Cramer, Waldorp, van der Maas, & Borsboom, 2010; McNally, 2016).”
A Tutorial on Regularized Partial Correlation Networks (2016, background): “…Levine and Leucht 2016; Jaya et al. 2016; Deserno et al. 2016; van Borkulo et al. 2015; Deserno et al. 2016), psychiatry (e.g., Isvoranu et al. 2016b,a; McNally 2016), personality research (e.g., Costantini et al. 2015a,b), and health sciences (e.g., Kossakowski et al. 2015; Langley et al. 2015).”
All for one and one for all: Mental disorders in one dimension (2018, background): “It suggests that intervening on a central keystone symptom or disorder can bring about effective treatment by breaking up the network of causation (39).”
A Network of Dark Personality Traits: What Lies at the Heart of Darkness? (2018, methodology): “Three metrics are commonly used in personality and psychopathology research to provide quantitative descriptions of the centrality of the nodes (McNally, 2016).”