Ante J. Schlesselmann , Richard J. McNally , Philip Held
{"title":"使用网络分析表征认知加工治疗期间的临床改善。","authors":"Ante J. Schlesselmann , Richard J. McNally , Philip Held","doi":"10.1016/j.brat.2024.104678","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>Cross-sectional network studies find mixed results regarding changes in network structure as a response to treatment across disorders. This study characterized improvement in mental health following Cognitive Processing Therapy (CPT) for PTSD in veterans from the perspective of network psychometrics and explored how cross-sectional networks inform our understanding of PTSD recovery.</div></div><div><h3>Methods</h3><div>Veterans with PTSD participated in CPT-based intensive treatment programs (ITPs), offered in two-week (N = 635) or three-week (N = 457) formats. PTSD symptoms were self-reported on the PTSD Checklist for DSM-5 (PCL-5) at pre-, mid-, and post-treatment. Cross-sectional networks for each time point were compared using network comparison tests. Linear regression tested if the relationship of initial treatment gains from admission to mid-treatment with overall outcomes was associated with the expected influence centrality of a node.</div></div><div><h3>Results</h3><div>Substantial improvement in PTSD symptoms were found, but network structure remained largely unaffected, with global edge strength increasing from pre-to post-treatment. Initial treatment gains in nodes with high expected influence were associated with overall treatment outcomes. A post-hoc simulation based on a common-cause model produced similar regression results, indicating that while our findings align with spreading activation, they are not exclusive to this mechanism.</div></div><div><h3>Conclusion</h3><div>The indiscernibility of cross-sectional networks between pre- and post-treatment raises questions about whether cross-sectional networks can illuminate PTSD recovery beyond traditional measures of treatment response.</div></div>","PeriodicalId":48457,"journal":{"name":"Behaviour Research and Therapy","volume":"185 ","pages":"Article 104678"},"PeriodicalIF":4.2000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using network analysis to characterize clinical improvement during cognitive processing therapy\",\"authors\":\"Ante J. Schlesselmann , Richard J. McNally , Philip Held\",\"doi\":\"10.1016/j.brat.2024.104678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>Cross-sectional network studies find mixed results regarding changes in network structure as a response to treatment across disorders. This study characterized improvement in mental health following Cognitive Processing Therapy (CPT) for PTSD in veterans from the perspective of network psychometrics and explored how cross-sectional networks inform our understanding of PTSD recovery.</div></div><div><h3>Methods</h3><div>Veterans with PTSD participated in CPT-based intensive treatment programs (ITPs), offered in two-week (N = 635) or three-week (N = 457) formats. PTSD symptoms were self-reported on the PTSD Checklist for DSM-5 (PCL-5) at pre-, mid-, and post-treatment. Cross-sectional networks for each time point were compared using network comparison tests. Linear regression tested if the relationship of initial treatment gains from admission to mid-treatment with overall outcomes was associated with the expected influence centrality of a node.</div></div><div><h3>Results</h3><div>Substantial improvement in PTSD symptoms were found, but network structure remained largely unaffected, with global edge strength increasing from pre-to post-treatment. Initial treatment gains in nodes with high expected influence were associated with overall treatment outcomes. A post-hoc simulation based on a common-cause model produced similar regression results, indicating that while our findings align with spreading activation, they are not exclusive to this mechanism.</div></div><div><h3>Conclusion</h3><div>The indiscernibility of cross-sectional networks between pre- and post-treatment raises questions about whether cross-sectional networks can illuminate PTSD recovery beyond traditional measures of treatment response.</div></div>\",\"PeriodicalId\":48457,\"journal\":{\"name\":\"Behaviour Research and Therapy\",\"volume\":\"185 \",\"pages\":\"Article 104678\"},\"PeriodicalIF\":4.2000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behaviour Research and Therapy\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0005796724002055\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behaviour Research and Therapy","FirstCategoryId":"102","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005796724002055","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Using network analysis to characterize clinical improvement during cognitive processing therapy
Objective
Cross-sectional network studies find mixed results regarding changes in network structure as a response to treatment across disorders. This study characterized improvement in mental health following Cognitive Processing Therapy (CPT) for PTSD in veterans from the perspective of network psychometrics and explored how cross-sectional networks inform our understanding of PTSD recovery.
Methods
Veterans with PTSD participated in CPT-based intensive treatment programs (ITPs), offered in two-week (N = 635) or three-week (N = 457) formats. PTSD symptoms were self-reported on the PTSD Checklist for DSM-5 (PCL-5) at pre-, mid-, and post-treatment. Cross-sectional networks for each time point were compared using network comparison tests. Linear regression tested if the relationship of initial treatment gains from admission to mid-treatment with overall outcomes was associated with the expected influence centrality of a node.
Results
Substantial improvement in PTSD symptoms were found, but network structure remained largely unaffected, with global edge strength increasing from pre-to post-treatment. Initial treatment gains in nodes with high expected influence were associated with overall treatment outcomes. A post-hoc simulation based on a common-cause model produced similar regression results, indicating that while our findings align with spreading activation, they are not exclusive to this mechanism.
Conclusion
The indiscernibility of cross-sectional networks between pre- and post-treatment raises questions about whether cross-sectional networks can illuminate PTSD recovery beyond traditional measures of treatment response.
期刊介绍:
The major focus of Behaviour Research and Therapy is an experimental psychopathology approach to understanding emotional and behavioral disorders and their prevention and treatment, using cognitive, behavioral, and psychophysiological (including neural) methods and models. This includes laboratory-based experimental studies with healthy, at risk and subclinical individuals that inform clinical application as well as studies with clinically severe samples. The following types of submissions are encouraged: theoretical reviews of mechanisms that contribute to psychopathology and that offer new treatment targets; tests of novel, mechanistically focused psychological interventions, especially ones that include theory-driven or experimentally-derived predictors, moderators and mediators; and innovations in dissemination and implementation of evidence-based practices into clinical practice in psychology and associated fields, especially those that target underlying mechanisms or focus on novel approaches to treatment delivery. In addition to traditional psychological disorders, the scope of the journal includes behavioural medicine (e.g., chronic pain). The journal will not consider manuscripts dealing primarily with measurement, psychometric analyses, and personality assessment.