Evidence map›Paper›PMID 22438191›Full record

ReviewBrain imaging and behavior2012

A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury.

M E Shenton, H M Hamoda, J S Schneiderman, S Bouix, O Pasternak, Y Rathi, M-A Vu, M P Purohit, K Helmer, I Koerte and 6 more

Open access · greenAbstract readReview
In one paragraph

Review in Brain imaging and behavior, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 439 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
439citing papers in PubMed, 11 pooled it
58.3field-weighted citation impact, top 1% 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

439 citing papers in PubMed, 11 syntheses or guidelines pooled it, 921 citations in OpenAlex.

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  12. Association of White Matter Integrity With Executive Function and Antidepressant Treatment Outcome in Patients With Late-Life Depression.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2021
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379 more citing papers are in PubMed but not listed here.

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

16 authors at 6 institutions in 1 country.

M E ShentonClinical Neuroscience Laboratory, Department of Psychiatry, VA Boston Healthcare System, Brockton, MA, USA. Shenton@bwh.harvard.edu
H M Hamoda
J S Schneiderman
S Bouix
O Pasternak
Y Rathi
M-A Vu
M P Purohit
K Helmer
I Koerte
A P Lin
C-F Westin
R Kikinis
M Kubicki
R A Stern
R Zafonte
Brigham and Women's Hospital · USHarvard University · USAthinoula A. Martinos Center for Biomedical Imaging · USMassachusetts General Hospital · USSpaulding Rehabilitation Hospital · USVA Boston Healthcare System · US

Funding

Washington University ConsoritumU54EB005149 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 2004 to 2013
$39.3M
WHITE MATTER ARCHITECTURE FROM DT-MRIP41RR013218 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 1998 to 2011
$30.6M
YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARER, ELAINE L · 1998 to 2011
$21.9M
ULTRASOUND THERAPY DELIVERY THROUGH INTACT SKULLU41RR019703 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI KAPUR, TINA · 2005 to 2009
$17.2M
Research Training in Complementary and Integrative MedicineT32AT000051 · NCCIH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI GLORIA Y YEH · 1999 to 2026
$10.2M
Vulnerability to Progression SchizophreniaP50MH080272 · NIMH · BETH ISRAEL DEACONESS MEDICAL CENTER · PI WOO, TSUNGUNG · 2007 to 2011
$9.9M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
COMPUTERIZED IMAGE ANALYSES OF MR SCANS IN SCHIZOPHRENIAR01MH050740 · NIMH · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI SHENTON, MARTHA E. · 1999 to 2009
$4.4M
Computational Morphometry in Schizophrenia and Related DisordersR01MH082918 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI BOUIX, SYLVAIN · 2009 to 2013
$2.2M
Chronic Traumatic Encephalopathy: Clinical Presentation and BiomarkersR01NS078337 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI STERN, ROBERT A · 2011 to 2013
$2.0M
NCCIH NIH HHS T32 AT000051NCCIH NIH HHS T32AT000051NCRR NIH HHS P41 RR013218NCRR NIH HHS P41 RR013642NCRR NIH HHS P41RR13218NCRR NIH HHS U41 RR019703NIBIB NIH HHS U54 EB005149NIMH NIH HHS P50 MH080272NIMH NIH HHS R01 MH050740NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH082918NINDS NIH HHS R01 NS 078337NINDS NIH HHS R01 NS078337
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI), also referred to as concussion, remains a controversial diagnosis because the brain often appears quite normal on conventional computed tomography (CT) and magnetic resonance imaging (MRI) scans. Such conventional tools, however, do not adequately depict brain injury in mTBI because they are not sensitive to detecting diffuse axonal injuries (DAI), also described as traumatic axonal injuries (TAI), the major brain injuries in mTBI. Furthermore, for the 15 to 30 % of those diagnosed with mTBI on the basis of cognitive and clinical symptoms, i.e., the "miserable minority," the cognitive and physical symptoms do not resolve following the first 3 months post-injury. Instead, they persist, and in some cases lead to long-term disability. The explanation given for these chronic symptoms, i.e., postconcussive syndrome, particularly in cases where there is no discernible radiological evidence for brain injury, has led some to posit a psychogenic origin. Such attributions are made all the easier since both posttraumatic stress disorder (PTSD) and depression are frequently co-morbid with mTBI. The challenge is thus to use neuroimaging tools that are sensitive to DAI/TAI, such as diffusion tensor imaging (DTI), in order to detect brain injuries in mTBI. Of note here, recent advances in neuroimaging techniques, such as DTI, make it possible to characterize better extant brain abnormalities in mTBI. These advances may lead to the development of biomarkers of injury, as well as to staging of reorganization and reversal of white matter changes following injury, and to the ability to track and to characterize changes in brain injury over time. Such tools will likely be used in future research to evaluate treatment efficacy, given their enhanced sensitivity to alterations in the brain. In this article we review the incidence of mTBI and the importance of characterizing this patient population using objective radiological measures. Evidence is presented for detecting brain abnormalities in mTBI based on studies that use advanced neuroimaging techniques. Taken together, these findings suggest that more sensitive neuroimaging tools improve the detection of brain abnormalities (i.e., diagnosis) in mTBI. These tools will likely also provide important information relevant to outcome (prognosis), as well as play an important role in longitudinal studies that are needed to understand the dynamic nature of brain injury in mTBI. Additionally, summary tables of MRI and DTI findings are included. We believe that the enhanced sensitivity of newer and more advanced neuroimaging techniques for identifying areas of brain damage in mTBI will be important for documenting the biological basis of postconcussive symptoms, which are likely associated with subtle brain alterations, alterations that have heretofore gone undetected due to the lack of sensitivity of earlier neuroimaging techniques. Nonetheless, it is noteworthy to point out that detecting brain abnormalities in mTBI does not mean that other disorders of a more psychogenic origin are not co-morbid with mTBI and equally important to treat. They arguably are. The controversy of psychogenic versus physiogenic, however, is not productive because the psychogenic view does not carefully consider the limitations of conventional neuroimaging techniques in detecting subtle brain injuries in mTBI, and the physiogenic view does not carefully consider the fact that PTSD and depression, and other co-morbid conditions, may be present in those suffering from mTBI. Finally, we end with a discussion of future directions in research that will lead to the improved care of patients diagnosed with mTBI.

Indexed as

BrainBrain DiseasesBrain InjuriesHumansMagnetic Resonance Imaging

Identifiers

PMID22438191
PMCPMC3803157
OpenAlexW2001422009

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.