ArticleBrain imaging and behavior2015
Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population.
Article in Brain imaging and behavior, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 38 citations in OpenAlex.
- The value of multimodal neuroimaging in the diagnosis and treatment of post-traumatic stress disorder: a narrative review.Translational psychiatry · 2025Review
- The relationship between blast-related mild traumatic brain injury and executive function is moderated by white matter integrity.Brain imaging and behavior · 2024Article
- Can infrared light really be doing what we claim it is doing? Infrared light penetration principles, practices, and limitations.Frontiers in neurology · 2024Article
- Bayesian Fusion Model Enhanced Codfish Classification Using Near Infrared and Raman Spectrum.Foods (Basel, Switzerland) · 2022Article
- Neuroimaging Biomarkers of New-Onset Psychiatric Disorders Following Traumatic Brain Injury.Biological psychiatry · 2022Review
- The Legacy of the TTASAAN Report - Premature Conclusions and Forgotten Promises About SPECT Neuroimaging: A Review of Policy and Practice Part II.Frontiers in neurology · 2022Article
- Editorial: The Emerging Role of SPECT Functional Neuroimaging in Psychiatry & Neurology.Frontiers in psychiatry · 2022Article
- Longitudinal Single Photon Emission Computed Tomography Neuroimaging as an Indication of Improvement in Psychiatric Disorders in a Community Psychiatric Practice.Frontiers in psychiatry · 2022Article
- Distinct patterns of resting-state connectivity in U.S. service members with mild traumatic brain injury versus posttraumatic stress disorder.Brain imaging and behavior · 2021Article
- CRF serum levels differentiate PTSD from healthy controls and TBI in military veterans.Psychiatric research and clinical practice · 2021Article
- Brain SPECT as an Imaging Biomarker for Evaluating Effects of Novel Treatments in Psychiatry-A Case Series.Frontiers in psychiatry · 2021Article
- The Legacy of the TTASAAN Report-Premature Conclusions and Forgotten Promises: A Review of Policy and Practice Part I.Frontiers in neurology · 2021Review
- Differential effects of photobiomodulation interval schedules on brain cytochrome c-oxidase and proto-oncogene expression.Neurophotonics · 2020Article
- Functional Neuroimaging in Psychiatry-Aiding in Diagnosis and Guiding Treatment. What the American Psychiatric Association Does Not Know.Frontiers in psychiatry · 2020Review
- Post-Traumatic Stress Disorder Delineating the Progression and Underlying Mechanisms Following Blast Traumatic Brain Injury.Journal of neuroscience and neuropharmacology · 2018Article
- Perfusion Neuroimaging Abnormalities Alone Distinguish National Football League Players from a Healthy Population.Journal of Alzheimer's disease : JAD · 2016Article
- Multi-watt near-infrared light therapy as a neuroregenerative treatment for traumatic brain injury.Neural regeneration research · 2016Article
- The Learning Curve in neurofeedback of Peter Van Deusen: A review article.Dementia & neuropsychologiaReview
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PTSD and TBI are two common conditions in veteran populations that can be difficult to distinguish clinically. The default mode network (DMN) is abnormal in a multitude of neurological and psychiatric disorders. We hypothesize that brain perfusion SPECT can be applied to diagnostically separate PTSD from TBI reliably in a veteran cohort using DMN regions. A group of 196 veterans (36 with PTSD, 115 with TBI, 45 with PTSD/TBI) were selected from a large multi-site population cohort of individuals with psychiatric disease. Inclusion criteria were peacetime or wartime veterans regardless of branch of service and included those for whom the traumatic brain injury was not service related. SPECT imaging was performed on this group both at rest and during a concentration task. These measures, as well as the baseline-concentration difference, were then inputted from DMN regions into separate binary logistic regression models controlling for age, gender, race, clinic site, co-morbid psychiatric diseases, TBI severity, whether or not the TBI was service related, and branch of armed service. Predicted probabilities were then inputted into a receiver operating characteristic analysis to compute sensitivity, specificity, and accuracy. Compared to PSTD, persons with TBI were older, male, and had higher rates of bipolar and major depressive disorder (p < 0.05). Baseline quantitative regions with SPECT separated PTSD from TBI in the veterans with 92 % sensitivity, 85 % specificity, and 94 % accuracy. With concentration scans, there was 85 % sensitivity, 83 % specificity and 89 % accuracy. Baseline-concentration (the difference metric between the two scans) scans were 85 % sensitivity, 80 % specificity, and 87 % accuracy. In separating TBI from PTSD/TBI visual readings of baseline scans had 85 % sensitivity, 81 % specificity, and 83 % accuracy. Concentration scans had 80 % sensitivity, 65 % specificity, and 79 % accuracy. Baseline-concentration scans had 82 % sensitivity, 69 % specificity, and 81 % accuracy. For separating PTSD from PTSD/TBI baseline scans had 87 % sensitivity, 83 % specificity, and 92 % accuracy. Concentration scans had 91 % sensitivity, 76 % specificity, and 88 % accuracy. Baseline-concentration scans had 84 % sensitivity, 64 % specificity, and 85 % accuracy. This study demonstrates the ability to separate PTSD and TBI from each other in a veteran population using functional neuroimaging.
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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.