Evidence map›Paper›PMID 25917871›Full record

ArticleBrain imaging and behavior2015

Functional neuroimaging with default mode network regions distinguishes PTSD from TBI in a military veteran population.

Cyrus A Raji, Kristen Willeumier, Derek Taylor, Robert Tarzwell, Andrew Newberg, Theodore A Henderson, Daniel G Amen

Open access · hybridAbstract readMulticenter Study
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 38 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Cyrus A RajiDepartment of Radiology, UCLA Medical Center, 757 Westwood Blvd, Los Angeles, CA, 90095, USA. cyrusraji@gmail.com.
Kristen WilleumierDepartment of Research, Amen Clinics, Inc, Costa Mesa, CA, USA.
Derek TaylorDepartment of Research, Amen Clinics, Inc, Costa Mesa, CA, USA.
Robert TarzwellFaculty of Medicine, Department of Psychiatry, University of British Columbia School of Medicine and Clinical Director of Research for Mental Health, Lions Gate Hospital, Vancouver, BC, Canada.
Andrew NewbergDepartment of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Theodore A HendersonThe Synaptic Space and The International Society of Applied Neuroimaging, Denver, CO, USA.
Daniel G AmenDepartment of Research, Amen Clinics, Inc, Costa Mesa, CA, USA.
Amen Clinics · USInternational Association for Psychoanalytic Self Psychology · USThomas Jefferson University · USUCLA Medical Center · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Tomography, Emission-Computed, Single-PhotonVeteransAdultAttentionBrainBrain InjuriesComorbidityDiagnosis, DifferentialFemaleHumansMaleMental DisordersMiddle AgedNeural PathwaysNeuropsychological TestsRestFunctional NeuroimagingPTSDSPECTTBI

Identifiers

PMID25917871
PMCPMC4575682
OpenAlexW2027686066

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.