ReviewBrain imaging and behavior2012
A review of magnetic resonance imaging and diffusion tensor imaging findings in mild traumatic brain injury.
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.
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.
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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
439 citing papers in PubMed, 11 syntheses or guidelines pooled it, 921 citations in OpenAlex.
- Brain MRI findings associated with soccer heading: a systematic review and meta-analysis.Neuroradiology · 2026Pooled it
- Brain MRI findings associated with soccer heading: a systematic review and meta-analysis.Neuroradiology · 2026Pooled it
- A structural network fingerprint of mild traumatic brain injury: a multi-study synthesis of T1-weighted MRI abnormalities.Frontiers in human neuroscience · 2026Pooled it
- Appropriate incorporation of susceptibility-weighted magnetic resonance imaging into routine imaging protocols for accurate diagnosis of traumatic brain injuries: a systematic review.Journal of medicine and life · 2024Pooled it
- Diffusion Imaging of Sport-related Repetitive Head Impacts-A Systematic Review.Neuropsychology review · 2023Pooled it
- Diffusion-Weighted Imaging in Mild Traumatic Brain Injury: A Systematic Review of the Literature.Neuropsychology review · 2023Pooled it
- S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy.Neurosurgical review · 2022Pooled it
- Implications of DTI in mild traumatic brain injury for detecting neurological recovery and predicting long-term behavioural outcome in paediatric and young population-a systematic review.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021Pooled it
- Diffusion MRI as a complementary assessment to cognition, emotion, and motor dysfunction after sports-related concussion: a systematic review and critical appraisal of the literature.Brain imaging and behavior · 2021Pooled it
- A Systematic Review of MRI Neuroimaging for Education Research.Frontiers in psychology · 2021Pooled it
- Characteristic patterns of white matter tract injury in sport-related concussion: An image based meta-analysis.NeuroImage. Clinical · 2020Pooled it
- 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 · 2021Trial
- Advances in imaging studies of contusion penumbra.IBRO neuroscience reports · 2026Review
- The role of white matter microstructure in the association between childhood maltreatment and adult post-traumatic symptoms.Molecular psychiatry · 2026Article
- Traumatic brain injury outcomes across human development index strata in 29 countries.Nature medicine · 2026Article
- Occupational stress and white matter integrity: a methodological perspective : Short title: White matter integrity and burnout: considerations.Brain structure & function · 2026Article
- Pediatric Mild Traumatic Brain Injury and Concussion: Modern Pathophysiological Insights, Diagnostic Advances, and Active Management Protocols.Brain sciences · 2026Review
- Neuroplasticity after traumatic brain injury: mechanisms and clinical implications.Irish journal of medical science · 2026Review
- Mechanical deformation explains distinct neuroimaging patterns and etiologies in brain trauma.NeuroImage · 2026Article
- Mapping concussion-induced cerebellar injury: a personalized approach using diffusion tensor imaging (DTI).Magma (New York, N.Y.) · 2026Article
379 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 6 institutions in 1 country.
Funding
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.
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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.