ArticleTranslational psychiatry2019
Individual prediction of psychotherapy outcome in posttraumatic stress disorder using neuroimaging data.
Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.
- PTSD subtypes and their underlying neural biomarkers: a systematic review.Psychological medicine · 2025Pooled it
- Functional brain imaging in posttraumatic stress disorder: a review.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Resting-state connectivity subtype of comorbid PTSD and alcohol use disorder moderates improvement from integrated prolonged exposure therapy in Veterans.Psychological medicine · 2023Article
- PTSD, Immune System, and Inflammation.Advances in experimental medicine and biology · 2023Article
- Therapeutic interventions impact brain function and promote post-traumatic growth in adults living with post-traumatic stress disorder: A systematic review and meta-analysis of functional magnetic resonance imaging studies.Frontiers in psychology · 2023Article
- Mechanisms by which adverse childhood experiences, other traumas and PTSD influence the health and well-being of individuals with eating disorders throughout the life span.Journal of eating disorders · 2022Review
- Modern views of machine learning for precision psychiatry.Patterns (New York, N.Y.) · 2022Review
- Pro- and anti-inflammatory cytokines Interleukin-6 and Interleukin-10 predict therapy outcome of female patients with posttraumatic stress disorder.Translational psychiatry · 2022Article
- Spontaneous brain activity, graph metrics, and head motion related to prospective post-traumatic stress disorder trauma-focused therapy response.Frontiers in human neuroscience · 2022Article
- Interleukin-6 secretion upon acute psychosocial stress as a potential predictor of psychotherapy outcome in posttraumatic stress disorder.Journal of neural transmission (Vienna, Austria : 1996) · 2021Article
- The promise of machine learning in predicting treatment outcomes in psychiatry.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2021Article
- Neural correlates of treatment effect and prediction of treatment outcome in patients with PTSD and comorbid personality disorder: study design.Borderline personality disorder and emotion dysregulation · 2021Article
- Defining focal brain stimulation targets for PTSD using neuroimaging.Depression and anxiety · 2021Review
- Neural activity during response inhibition associated with improvement of dysphoric symptoms of PTSD after trauma-focused psychotherapy-an EEG-fMRI study.Translational psychiatry · 2021Article
- Individual prediction of trauma-focused psychotherapy response in youth with posttraumatic stress disorder using resting-state functional connectivity.NeuroImage. Clinical · 2021Article
- Identifying and Predicting Autism Spectrum Disorder Based on Multi-Site Structural MRI With Machine Learning.Frontiers in human neuroscience · 2021Article
- Intrinsic connectomes underlying response to trauma-focused psychotherapy in post-traumatic stress disorder.Translational psychiatry · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Trauma-focused psychotherapy is the first-line treatment for posttraumatic stress disorder (PTSD) but 30-50% of patients do not benefit sufficiently. We investigated whether structural and resting-state functional magnetic resonance imaging (MRI/rs-fMRI) data could distinguish between treatment responders and non-responders on the group and individual level. Forty-four male veterans with PTSD underwent baseline scanning followed by trauma-focused psychotherapy. Voxel-wise gray matter volumes were extracted from the structural MRI data and resting-state networks (RSNs) were calculated from rs-fMRI data using independent component analysis. Data were used to detect differences between responders and non-responders on the group level using permutation testing, and the single-subject level using Gaussian process classification with cross-validation. A RSN centered on the bilateral superior frontal gyrus differed between responders and non-responder groups (P
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.