Evidence map›Paper›PMID 38969967›Full record

ArticleBMC neurology2024

Rate of abnormalities in quantitative MR neuroimaging of persons with chronic traumatic brain injury.

Farzaneh Rahmani, Richard D Batson, Alexandra Zimmerman, Samir Reddigari, Erin D Bigler, Shawn C Lanning, Eveline Ilasa, Jordan H Grafman, Hanzhang Lu, Alexander P Lin and 1 more

Abstract read
In one paragraph

Article in BMC neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
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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

11 authors.

Farzaneh RahmaniDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO, USA.
Richard D BatsonEndocrine & Brain Injury Research Alliance, Neurevolution Medicine, PLLC, NUNM Helfgott Research Institute, Portland, Oregon, USA.
Alexandra ZimmermanBrainSpec, Inc, Boston, MA, USA.
Samir ReddigariBrainSpec, Inc, Boston, MA, USA.
Erin D BiglerDepartment of Neurology, Department of Psychiatry, University of Utah, Salt Lake City, UT, USA.
Shawn C LanningSwedish Radia, Seattle, WA, USA.
Eveline IlasaSwedish Radia, Seattle, WA, USA.
Jordan H GrafmanDepartments of Physical Medicine & Rehabilitation, Neurology, Cognitive Neurology and Alzheimer's Center, Department of Psychiatry, Feinberg School of Medicine, Department of Psychology, Weinberg College of Arts and Sciences, Northwestern University, Chicago, IL, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Alexander P LinCenter for Clinical Spectroscopy, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Cyrus A RajiDepartment of Radiology, Washington University School of Medicine, Saint Louis, MO, USA. cyrusraji@gmail.com.

Funding

TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Neuroinflammation and Alzheimer's Disease Imaging Biomarkers in Midlife ObesityRF1AG072637 · NIA · WASHINGTON UNIVERSITY · PI RAJI, CYRUS A · 2021 to 2021
$2.3M
MR fingerprinting (MRF) perfusion imaging in cerebral vascular diseaseR01NS106711 · NINDS · JOHNS HOPKINS UNIVERSITY · PI LU, HANZHANG · 2018 to 2022
$2.2M
NIA NIH HHS RF1 AG072637NIA NIH HHS RF1AG072637NIBIB NIH HHS P41 EB031771NINDS NIH HHS NS106711NINDS NIH HHS R01 NS106711
6 · The paper itself

Abstract

backgroundMild traumatic brain injury (mTBI) can result in lasting brain damage that is often too subtle to detect by qualitative visual inspection on conventional MR imaging. Although a number of FDA-cleared MR neuroimaging tools have demonstrated changes associated with mTBI, they are still under-utilized in clinical practice.

methodsWe investigated a group of 65 individuals with predominantly mTBI (60 mTBI, 48 due to motor-vehicle collision, mean age 47 ± 13 years, 27 men and 38 women) with MR neuroimaging performed in a median of 37 months post-injury. We evaluated abnormalities in brain volumetry including analysis of left-right asymmetry by quantitative volumetric analysis, cerebral perfusion by pseudo-continuous arterial spin labeling (PCASL), white matter microstructure by diffusion tensor imaging (DTI), and neurometabolites via magnetic resonance spectroscopy (MRS).

resultsAll participants demonstrated atrophy in at least one lobar structure or increased lateral ventricular volume. The globus pallidi and cerebellar grey matter were most likely to demonstrate atrophy and asymmetry. Perfusion imaging revealed significant reductions of cerebral blood flow in both occipital and right frontoparietal regions. Diffusion abnormalities were relatively less common though a subset analysis of participants with higher resolution DTI demonstrated additional abnormalities. All participants showed abnormal levels on at least one brain metabolite, most commonly in choline and N-acetylaspartate.

conclusionWe demonstrate the presence of coup-contrecoup perfusion injury patterns, widespread atrophy, regional brain volume asymmetry, and metabolic aberrations as sensitive markers of chronic mTBI sequelae. Our findings expand the historic focus on quantitative imaging of mTBI with DTI by highlighting the complementary importance of volumetry, arterial spin labeling perfusion and magnetic resonance spectroscopy neurometabolite analyses in the evaluation of chronic mTBI.

Indexed as

NeuroimagingAdultAtrophyBrainBrain Injuries, TraumaticCerebrovascular CirculationDiffusion Tensor ImagingFemaleHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMaleMiddle AgedDiffusion Tensor ImagingMagnetic resonance spectroscopyPseudocontinuous arterial spin labelingTraumatic brain Injury

Identifiers

PMID38969967
PMCPMC11225195

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LicenceCC BY
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Registered trials

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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.