Evidence map›Paper›PMID 22505633›Full record

ArticleBrain : a journal of neurology2012

Biomarkers of increased diffusion anisotropy in semi-acute mild traumatic brain injury: a longitudinal perspective.

Josef M Ling, Amanda Peña, Ronald A Yeo, Flannery L Merideth, Stefan Klimaj, Charles Gasparovic, Andrew R Mayer

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
89citing papers in PubMed, 5 pooled it
15.5field-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

89 citing papers in PubMed, 5 syntheses or guidelines pooled it, 185 citations in OpenAlex.

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  4. Diffusion tensor imaging studies of mild traumatic brain injury: a meta-analysis.Journal of neurology, neurosurgery, and psychiatry · 2012
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29 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

7 authors at 1 institution in 1 country.

Josef M LingThe Mind Research Network, Lovelace Biomedical and Environmental Research Institute, Albuquerque, NM 87106, USA.
Amanda Peña
Ronald A Yeo
Flannery L Merideth
Stefan Klimaj
Charles Gasparovic
Andrew R Mayer
Mind Research Network · US

Funding

Research Methods for Cognitive RehabilitationR24HD050836 · NICHD · ALBERT EINSTEIN HEALTHCARE NETWORK · PI WHYTE, JOHN · 2005 to 2009
$4.4M
Attentional Dysfunction and Recovery in Traumatic Brain Injury (TBI)R21NS064464 · NINDS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2009 to 2010
$938k
NICHD NIH HHS R24 HD050836NICHD NIH HHS R24-HD050836NINDS NIH HHS 3 R21 NS064464-01S1NINDS NIH HHS R21 NS064464NINDS NIH HHS R21-NS064464-01A1
6 · The paper itself

Abstract

Mild traumatic brain injury is the most prevalent neurological insult and frequently results in neurobehavioural sequelae. However, little is known about the pathophysiology underlying the injury and how these injuries change as a function of time. Although diffusion tensor imaging holds promise for in vivo characterization of white matter pathology, both the direction and magnitude of anisotropic water diffusion abnormalities in axonal tracts are actively debated. The current study therefore represents both an independent replication effort (n = 28) of our previous findings (n = 22) of increased fractional anisotropy during semi-acute injury, as well as a prospective study (n = 26) on the putative recovery of diffusion abnormalities. Moreover, new analytical strategies were applied to capture spatially heterogeneous white matter injuries, which minimize implicit assumptions of uniform injury across diverse clinical presentations. Results indicate that whereas a general pattern of high anisotropic diffusion/low radial diffusivity was present in various white matter tracts in both the replication and original cohorts, this pattern was only consistently observed in the genu of the corpus callosum across both samples. Evidence for a greater number of localized clusters with increased anisotropic diffusion was identified across both cohorts at trend levels, confirming heterogeneity in white matter injury. Pooled analyses (50 patients; 50 controls) suggested that measures of diffusion within the genu were predictive of patient classification, albeit at very modest levels (71% accuracy). Finally, we observed evidence of recovery in lesion load in returning patients across a 4-month interval, which was correlated with a reduction in self-reported post-concussive symptomatology. In summary, the corpus callosum may serve as a common point of injury in mild traumatic brain injury secondary to anatomical (high frequency of long unmyelinated fibres) and biomechanics factors. A spatially heterogeneous pattern of increased anisotropic diffusion exists in various other white matter tracts, and these white matter anomalies appear to diminish with recovery. This macroscopic pattern of diffusion abnormalities may be associated with cytotoxic oedema following mechanical forces, resulting in changes in ionic homeostasis, and alterations in the ratio of intracellular and extracellular water. Animal models more specific to the types of mild traumatic brain injury typically incurred by humans are needed to confirm the histological correlates of these macroscopic markers of white matter pathology.

Indexed as

Diffusion Magnetic Resonance ImagingAdolescentAdultAnalysis of VarianceAnisotropyBiomarkersBrainBrain InjuriesCase-Control StudiesFemaleHumansLongitudinal StudiesMaleNerve Fibers, MyelinatedNeuropsychological TestsRegression AnalysisBiomarkers

Identifiers

PMID22505633
PMCPMC3326260
OpenAlexW2170525366

What OpenQuestion holds

Textmetadata
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.