Predicting Trauma-Focused Therapy Outcome From Resting-State Functional Magnetic Resonance Imaging in Veterans With Posttraumatic Stress Disorder

P. Zhutovsky, R. Thomas, T. Varkevisser, M. Olff, S.J.H. van Rooij, M. Kennis, G.A. van Wingen, E. Geuze

Research output: Contribution to journalMeeting AbstractAcademic

Abstract

Background Trauma-focused psychotherapy is the first-line treatment for posttraumatic stress disorder (PTSD) but 30-50% of patients do not benefit sufficiently. Here, we tested whether resting-state functional magnetic imaging (rs-fMRI) can predict treatment response for individual patients. Methods 44 male veterans with PTSD underwent baseline rs-fMRI scanning followed by trauma-focused therapy (EMDR or TF-CBT). Resting-state networks (RSN) were obtained using independent component analysis with 70 components on the basis of 28 trauma-exposed healthy controls, matched for age and gender. Dual regression was used to obtain subject-specific RSNs for the PTSD patients. All RSNs were individually included in a machine learning classification analysis using Gaussian process classifiers. Classifier performance was assessed using 10 times repeated 10-fold cross-validation. Results Patients were grouped into treatment responders (n = 24) and non-responders (n = 20), based on a 30% decrease in total clinician-administered PTSD scale for the DSM-IV (CAPS) score from pre- to post-treatment assessment. A network centered around the pre-supplementary motor area achieved an average accuracy of 81% (p < 0.001, based on a permutation test, corrected for multiple comparisons across 44 signal components), with a sensitivity of 84.5%, specificity of 77.5%, and area under receiver-operator curve (AUC) of 0.93. Conclusions Rs-fMRI recordings are capable of providing personalized predictions of treatment response in a sample of veterans with PTSD. It therefore has the potential to be useful as a biomarker of treatment response and should be validated in larger independent studies. Supported By ZonMw; AMC; Dutch Ministry of Defense
Original languageEnglish
Pages (from-to)S357
JournalBiological Psychiatry
Volume83
Issue number9
DOIs
Publication statusPublished - 1 May 2018
Event73rd Society of Biological Psychiatry meeting: “Biomarkers, Biomodels, and Psychiatric Disorders”   - Hilton Midtown, New York , United States
Duration: 10 May 201812 May 2018
https://sobp.org/meetings/2018-annual-meeting/

Bibliographical note

S27. Predicting Trauma-Focused Therapy Outcome From Resting-State Functional Magnetic Resonance Imaging in Veterans With Posttraumatic Stress Disorder

Keywords

  • PTSD Treatment
  • Multivariate Classification
  • Machine Learning
  • Resting-State fMRI
  • Resting State Networks

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