Evidence map›Paper›PMID 28604837›Full record

ArticlePloS one2017

Dynamic changes in diffusion measures improve sensitivity in identifying patients with mild traumatic brain injury.

Alexander W Thomas, Richard Watts, Christopher G Filippi, Joshua P Nickerson, Trevor Andrews, Gregory Lieberman, Magdalena R Naylor, Margaret J Eppstein, Kalev Freeman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
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

9 authors at 2 institutions in 1 country.

Alexander W ThomasDepartment of Surgery, University of Vermont, Burlington, Vermont, United States of America.
Richard WattsDepartment of Radiology, University of Vermont, Burlington, Vermont, United States of America.
Christopher G FilippiDepartment of Neurology, University of Vermont, Burlington, Vermont, United States of America.
Joshua P NickersonDepartment of Radiology, University of Vermont, Burlington, Vermont, United States of America.
Trevor AndrewsDepartment of Radiology, University of Vermont, Burlington, Vermont, United States of America.
Gregory LiebermanDepartment of Psychiatry, University of Vermont, Burlington, Vermont, United States of America.
Magdalena R NaylorDepartment of Psychiatry, University of Vermont, Burlington, Vermont, United States of America.
Margaret J EppsteinDepartment of Computer Science, University of Vermont, Burlington, Vermont, United States of America.
Kalev FreemanDepartment of Surgery, University of Vermont, Burlington, Vermont, United States of America.
University of Vermont · USHofstra University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this study was to investigate patterns of axonal injury in the first week after mild traumatic brain injury (mTBI). We performed a prospective cohort study of 20 patients presenting to the emergency department with mTBI, using 3.0T diffusion tensor MRI immediately after injury and again at 1 week post-injury. Corresponding data were acquired from 16 controls over a similar time interval. Fractional anisotropy (FA) and other diffusion measures were calculated from 11 a priori selected axon tracts at each time-point, and the change across time in each region was quantified for each subject. Clinical outcomes were determined by standardized neurocognitive assessment. We found that mTBI subjects were significantly more likely to have changes in FA in those 11 regions of interest across the one week time period, compared to control subjects whose FA measurements were stable across time. Longitudinal imaging was more sensitive to these subtle changes in white matter integrity than cross-sectional assessments at either of two time points, alone. Analyzing the sources of variance in our control population, we show that this increased sensitivity is likely due to the smaller within-subject variability obtained by longitudinal analysis with each subject as their own control. This is in contrast to the larger between-subject variability obtained by cross-sectional analysis of each individual subject to normalized data from a control group. We also demonstrated that inclusion of all a priori ROIs in an analytic model as opposed to measuring individual ROIs improves detection of white matter changes by overcoming issues of injury heterogeneity. Finally, we employed genetic programming (a bio-inspired computational method for model estimation) to demonstrate that longitudinal changes in FA have utility in predicting the symptomatology of patients with mTBI. We conclude concussive brain injury caused acute, measurable changes in the FA of white matter tracts consistent with evolving axonal injury and/or edema, which may contribute to post-concussive symptoms.

Indexed as

Diffusion Magnetic Resonance ImagingAdolescentAdultBrain ConcussionBrain Injuries, TraumaticFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificityYoung Adult

Identifiers

PMID28604837
PMCPMC5467843
OpenAlexW2626945492

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.