Ontology highlight
ABSTRACT:
SUBMITTER: Rodebaugh TL
PROVIDER: S-EPMC6166439 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature
Rodebaugh Thomas L TL Tonge Natasha A NA Piccirillo Marilyn L ML Fried Eiko E Horenstein Arielle A Morrison Amanda S AS Goldin Philippe P Gross James J JJ Lim Michelle H MH Fernandez Katya C KC Blanco Carlos C Schneier Franklin R FR Bogdan Ryan R Thompson Renee J RJ Heimberg Richard G RG
Journal of consulting and clinical psychology 20181001 10
<h4>Objective</h4>Network analysis allows us to identify the most interconnected (i.e., central) symptoms, and multiple authors have suggested that these symptoms might be important treatment targets. This is because change in central symptoms (relative to others) should have greater impact on change in all other symptoms. It has been argued that networks derived from cross-sectional data may help identify such important symptoms. We tested this hypothesis in social anxiety disorder.<h4>Method</ ...[more]