Individual prediction of trauma-focused psychotherapy response in youth with posttraumatic stress disorder using resting-state functional connectivity

•ML and rs-fMRI have shown promise in predicting treatment-response in adults with PTSD.•Currently, no biomarkers for treatment-response are available in youth with PTSD.•FC between the FPN and SMN was stronger in treatment non-responders on the group-level.•A network within the bilateral STG predic...

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Veröffentlicht in:NeuroImage clinical 2021-01, Vol.32, p.102898-102898, Article 102898
Hauptverfasser: Zhutovsky, Paul, Zantvoord, Jasper B., Ensink, Judith B.M., op den Kelder, Rosanne, Lindauer, Ramon J.L., van Wingen, Guido A.
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Sprache:eng
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Zusammenfassung:•ML and rs-fMRI have shown promise in predicting treatment-response in adults with PTSD.•Currently, no biomarkers for treatment-response are available in youth with PTSD.•FC between the FPN and SMN was stronger in treatment non-responders on the group-level.•A network within the bilateral STG predicted response for individual youth with 76% accuracy.•Future studies should test generalizability of these findings and test if larger cohorts increase accuracy. Randomized controlled trials have shown efficacy of trauma-focused psychotherapies in youth with posttraumatic stress disorder (PTSD). However, response varies considerably among individuals. Currently, no biomarkers are available to assist clinicians in identifying youth who are most likely to benefit from treatment. In this study, we investigated whether resting-state functional magnetic resonance imaging (rs-fMRI) could distinguish between responders and non-responders on the group- and individual patient level. Pre-treatment rs-fMRI was recorded in 40 youth (ages 8–17 years) with (partial) PTSD before trauma-focused psychotherapy. Change in symptom severity from pre- to post-treatment was assessed using the Clinician-Administered PTSD scale for Children and Adolescents to divide participants into responders (≥30% symptom reduction) and non-responders. Functional networks were identified using meta-independent component analysis. Group-differences within- and between-network connectivity between responders and non-responders were tested using permutation testing. Individual predictions were made using multivariate, cross-validated support vector machine classification. A network centered on the bilateral superior temporal gyrus predicted treatment response for individual patients with 76% accuracy (pFWE = 0.02, 87% sensitivity, 65% specificity, area-under-receiver-operator-curve of 0.82). Functional connectivity between the frontoparietal and sensorimotor network was significantly stronger in non-responders (t = 5.35, pFWE = 0.01) on the group-level. Within-network connectivity was not significantly different between groups. This study provides proof-of-concept evidence for the feasibility to predict trauma-focused psychotherapy response in youth with PTSD at an individual-level. Future studies are required to test if larger cohorts could increase accuracy and to test further generalizability of the prediction models.
ISSN:2213-1582
2213-1582
DOI:10.1016/j.nicl.2021.102898