Evidence map›Paper›PMID 35727944›Full record

ArticleBrain : a journal of neurology2022

Multicompartmental models and diffusion abnormalities in paediatric mild traumatic brain injury.

Andrew R Mayer, Josef M Ling, Andrew B Dodd, David D Stephenson, Sharvani Pabbathi Reddy, Cidney R Robertson-Benta, Erik B Erhardt, Robbert L Harms, Timothy B Meier, Andrei A Vakhtin and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

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  5. Alterations of cerebrovascular reactivity following pediatric mild traumatic brain injury are independent of neurodevelopmental changes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
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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

13 authors at 4 institutions in 2 countries.

Andrew R MayerThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Josef M LingThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Andrew B DoddThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.ORCID 0000-0001-9261-4090
David D StephensonThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Sharvani Pabbathi ReddyThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Cidney R Robertson-BentaThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Erik B ErhardtDepartment of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA.
Robbert L HarmsMaastricht, The Netherlands.
Timothy B MeierDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Andrei A VakhtinThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Richard A CampbellDepartment of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM 87131, USA.
Robert E SapienDepartment of Emergency Medicine, University of New Mexico, Albuquerque, NM 87131, USA.
John P PhillipsThe Mind Research Network/LBERI, Albuquerque, NM 87106, USA.
Mind Research Network · USUniversity of New Mexico · USMaastricht University · NLMedical College of Wisconsin · US

Funding

University of New Mexico (UNM) Center for Brain Recovery and RepairP20GM109089 · NIGMS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI SHUTTLEWORTH, CLAUDE W · 2015 to 2024
$22.7M
The Impact of Diffuse Mild Brain Injury on Clinical Outcomes in ChildrenR01NS098494 · NINDS · THE MIND RESEARCH NETWORK · PI Andrew Robert Mayer · 2016 to 2026
$7.6M
Pilot Project Program (PPP)P30GM122734 · NIGMS · THE MIND RESEARCH NETWORK · PI MAYER, ANDREW ROBERT · 2018 to 2022
$7.0M
NIGMS NIH HHS P20 GM109089NIGMS NIH HHS P30 GM122734NINDS NIH HHS R01 NS098494
6 · The paper itself

Abstract

The underlying pathophysiology of paediatric mild traumatic brain injury and the time-course for biological recovery remains widely debated, with clinical care principally informed by subjective self-report. Similarly, clinical evidence indicates that adolescence is a risk factor for prolonged recovery, but the impact of age-at-injury on biomarkers has not been determined in large, homogeneous samples. The current study collected diffusion MRI data in consecutively recruited patients (n = 203; 8-18 years old) and age and sex-matched healthy controls (n = 170) in a prospective cohort design. Patients were evaluated subacutely (1-11 days post-injury) as well as at 4 months post-injury (early chronic phase). Healthy participants were evaluated at similar times to control for neurodevelopment and practice effects. Clinical findings indicated persistent symptoms at 4 months for a significant minority of patients (22%), along with residual executive dysfunction and verbal memory deficits. Results indicated increased fractional anisotropy and reduced mean diffusivity for patients, with abnormalities persisting up to 4 months post-injury. Multicompartmental geometric models indicated that estimates of intracellular volume fractions were increased in patients, whereas estimates of free water fractions were decreased. Critically, unique areas of white matter pathology (increased free water fractions or increased neurite dispersion) were observed when standard assumptions regarding parallel diffusivity were altered in multicompartmental models to be more biologically plausible. Cross-validation analyses indicated that some diffusion findings were more reproducible when ∼70% of the total sample (142 patients, 119 controls) were used in analyses, highlighting the need for large-sample sizes to detect abnormalities. Supervised machine learning approaches (random forests) indicated that diffusion abnormalities increased overall diagnostic accuracy (patients versus controls) by ∼10% after controlling for current clinical gold standards, with each diffusion metric accounting for only a few unique percentage points. In summary, current results suggest that novel multicompartmental models are more sensitive to paediatric mild traumatic brain injury pathology, and that this sensitivity is increased when using parameters that more accurately reflect diffusion in healthy tissue. Results also indicate that diffusion data may be insufficient to achieve a high degree of objective diagnostic accuracy in patients when used in isolation, which is to be expected given known heterogeneities in pathophysiology, mechanism of injury and even criteria for diagnoses. Finally, current results indicate ongoing clinical and physiological recovery at 4 months post-injury.

Indexed as

Brain ConcussionWhite MatterAdolescentBrainChildDiffusion Magnetic Resonance ImagingHumansProspective StudiesWaterWatermean diffusivitymulticompartmental modelsneuroimagingorientation dispersion indexvolume fractions

Identifiers

PMID35727944
PMCPMC10200286
OpenAlexW4283207708

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.