ArticleTranslational psychiatry2020
Mapping PTSD symptoms to brain networks: a machine learning study.
Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 47 citations in OpenAlex.
- From classic circuits to novel mechanisms: How lncRNA, neuroinflammation, and iPSC models address the translational crisis in PTSD research.Comprehensive psychoneuroendocrinology · 2026Review
- Intrinsic Functional Connectivity of Right Dorsolateral Prefrontal Cortex and Hippocampus Subregions Relates to Emotional and Sensory-Perceptual Properties of Intrusive Trauma Memories.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026Article
- Associations of Racial Discrimination with Resting-state Network Topology: A Mechanism for Post-traumatic Sensory Disruptions.Research square · 2026Article
- Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach.Progress in neuro-psychopharmacology & biological psychiatry · 2025Article
- Partial Quantile Tensor Regression.Journal of the American Statistical Association · 2024Article
- Intrusive Traumatic Re-Experiencing Domain: Functional Connectivity Feature Classification by the ENIGMA PTSD Consortium.Biological psychiatry global open science · 2024Article
- Machine learning applied to fMRI patterns of brain activation in response to mutilation pictures predicts PTSD symptoms.BMC psychiatry · 2023Article
- Elucidating behavioral and functional connectivity markers of aberrant threat discrimination in PTSD.Depression and anxiety · 2022Article
- Memory-directed acupuncture as a neuromodulatory treatment for PTSD: Theory, clinical model and case studies.Translational psychiatry · 2022Review
- Identifying Neurobiological Markers of Posttraumatic Stress Disorder Using Resting-State Functional Magnetic Resonance Imaging Data: The Promise of Data-Driven Computational Approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
- Disruption of the white matter structural network and its correlation with baseline progression rate in patients with sporadic amyotrophic lateral sclerosis.Translational neurodegeneration · 2021Article
- Extracellular Vesicle Proteins and MicroRNAs Are Linked to Chronic Post-Traumatic Stress Disorder Symptoms in Service Members and Veterans With Mild Traumatic Brain Injury.Frontiers in pharmacology · 2021Article
- Transcranial magnetic stimulation for post-traumatic stress disorder.Therapeutic advances in psychopharmacology · 2021Review
- Individualized Prediction of PTSD Symptom Severity in Trauma Survivors From Whole-Brain Resting-State Functional Connectivity.Frontiers in behavioral neuroscience · 2020Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Posttraumatic Stress Disorder (PTSD) is a prevalent and debilitating condition with complex and variable presentation. While PTSD symptom domains (intrusion, avoidance, cognition/mood, and arousal/reactivity) correlate highly, the relative importance of these symptom subsets often differs across patients. In this study, we used machine learning to derive how PTSD symptom subsets differ based upon brain functional connectivity. We acquired resting-state magnetic resonance imaging in a sample (N = 50) of PTSD patients and characterized clinical features using the PTSD Checklist for DSM-5 (PCL-5). We compared connectivity among 100 cortical and subcortical regions within the default mode, salience, executive, and affective networks. We then used principal component analysis and least-angle regression (LARS) to identify relationships between symptom domain severity and brain networks. We found connectivity predicted PTSD symptom profiles. The goodness of fit (R
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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.