Category: Transdiagnostic

Symposium

Symposium 141 - The Utility of Network Analysis for CBT: Clinical Integration

Sunday, November 19
10:15 AM - 11:45 AM
Location: Sapphire Ballroom M & N, Level 4, Sapphire Level

Keywords: Transdiagnostic
Presentation Type: Symposium

New conceptualization of mental disorders, pioneered by the psychometrician Denny Borsboom and his colleagues at the University of Amsterdam, postulate that a stressor causes a symptom, which may cause other symptoms and in turn be affected by those symptoms.  This is in contrast to traditional models that suggest that symptoms are reflective of underlying latent entities, either categories or dimensions.  In the current symposium we present 4 new studies that use network analyses to shed light on structure of symptoms and propose points of intervention in different forms of psychopathology.  In the first presentation, Alexandre Heeren will present network analyses of social anxiety disorder (SAD) and depressive symptoms using an undirected regularized partial correlation network via the graphical LASSO algorithm.  They show that avoidance of talking to authority figures and to strangers act as core hubs that likely activate other SAD symptoms and hence propagate to comorbid depressive symptoms. In the second presentation, Justin Anker will present network analyses of internalizing syndromes (anxiety/depression; INTDs) and alcohol use disorder.  They use probabilistic pathways of influence and directed acyclic graph (DAG) (via a Bayesian hill-climbing algorithm) to model causal relationships between social phobia and perceived stress and alcohol craving and drinking behavior.  These finding further our understanding of pathways maintaining comorbidity with novel treatment implications. In the third presentation, Shaan Mcgee will present network analyses of PTSD symptoms in 2292 individuals (students and Veterans) using directed acyclic graph (DAG) (via a Bayesian hill-climbing algorithm) showing that in students the primary causal symptom is hypervigilance whereas the primary causal symptom in the veteran was intrusions. These analyses propose potentially causal relationships that can be the target of intervention in different samples.  In the fourth presentation, Eiko Fried will highlight the recent finding that extant network studies have largely used comparably small datasets with several hundred participants and that not all of these studies lead to accurately estimated networks due to power issues.  They will present network analyses of symptoms of Schizotypal Personality Questionnaire (SPQ) in 27,000 participants from 12 countries and 21 sites.  They use state-of-the-art regularized partial correlation networks and node predictability to examine the stability of the network estimates.  Finally, Nader Amir will provide an integrative analysis of the symposium in his role as discussant.

Learning Objectives:

Nader Amir

Professor
San Diego State University

Presentation(s):

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Nader Amir

Professor
San Diego State University

Presentation(s):

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Alexandre Heeren

Postdoctoral Fellow
Harvard University

Presentation(s):

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Eiko I. Fried

Postdoctoral Fellow
University of Amsterdam

Presentation(s):

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Justin Anker

Postdoctoral Fellow
University of Minnesota

Presentation(s):

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Shaan McGhie

Research Assistant
San Diego State University

Presentation(s):

Send Email for Shaan McGhie


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