Evidence map›Paper›PMID 28294464›Full record

ArticleHuman brain mapping2017

Assessing connectivity related injury burden in diffuse traumatic brain injury.

Berkan Solmaz, Birkan Tunç, Drew Parker, John Whyte, Tessa Hart, Amanda Rabinowitz, Morgan Rohrbach, Junghoon Kim, Ragini Verma

Abstract read
In one paragraph

Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  8. The Neuropsychological Syndrome of Agenesis of the Corpus Callosum.Journal of the International Neuropsychological Society : JINS · 2019
    Review
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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

9 authors.

Berkan SolmazCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Birkan TunçCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Drew ParkerCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
John WhyteMoss Rehabilitation Research Institute, Elkins Park, Pennsylvania.
Tessa HartMoss Rehabilitation Research Institute, Elkins Park, Pennsylvania.
Amanda RabinowitzMoss Rehabilitation Research Institute, Elkins Park, Pennsylvania.
Morgan RohrbachMoss Rehabilitation Research Institute, Elkins Park, Pennsylvania.
Junghoon KimMoss Rehabilitation Research Institute, Elkins Park, Pennsylvania.ORCID 0000-0001-5729-8993
Ragini VermaCenter for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.

Funding

Novel computational methods for higher order diffusion MRI in autismR01MH092862 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI VERMA, RAGINI, WESTIN, CARL-FREDRIK · 2010 to 2014
$3.3M
Connectomics meets neuro-oncology: mapping the brain for treatment planningR01NS096606 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI BREM, STEVEN, VERMA, RAGINI · 2016 to 2020
$2.7M
A Longitudinal Multi-modal Neuroimaging Investigation of Functional Recovery afteR01NS065980 · NINDS · CITY COLLEGE OF NEW YORK · PI KIM, JUNGHOON JOHN · 2011 to 2015
$1.4M
NIMH NIH HHS R01 MH092862NINDS NIH HHS R01 NS065980NINDS NIH HHS R01 NS096606
6 · The paper itself

Abstract

Many of the clinical and behavioral manifestations of traumatic brain injury (TBI) are thought to arise from disruption to the structural network of the brain due to diffuse axonal injury (DAI). However, a principled way of summarizing diffuse connectivity alterations to quantify injury burden is lacking. In this study, we developed a connectome injury score, Disruption Index of the Structural Connectome (DISC), which summarizes the cumulative effects of TBI-induced connectivity abnormalities across the entire brain. Forty patients with moderate-to-severe TBI examined at 3 months postinjury and 35 uninjured healthy controls underwent magnetic resonance imaging with diffusion tensor imaging, and completed behavioral assessment including global clinical outcome measures and neuropsychological tests. TBI patients were selected to maximize the likelihood of DAI in the absence of large focal brain lesions. We found that hub-like regions, with high betweenness centrality, were most likely to be impaired as a result of diffuse TBI. Clustering of participants revealed a subgroup of TBI patients with similar connectivity abnormality profiles who exhibited relatively poor cognitive performance. Among TBI patients, DISC was significantly correlated with post-traumatic amnesia, verbal learning, executive function, and processing speed. Our experiments jointly demonstrated that assessing structural connectivity alterations may be useful in development of patient-oriented diagnostic and prognostic tools. Hum Brain Mapp 38:2913-2922, 2017. © 2017 Wiley Periodicals, Inc.

Indexed as

Brain Injuries, TraumaticConnectomeDiffusion Tensor ImagingExecutive FunctionFactor Analysis, StatisticalFemaleGlasgow Coma ScaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleNeural PathwaysNeuropsychological TestsStatistics as TopicVerbal Learningbehaviorbrain networkcognitiondiffuse axonal injurydiffusionstructural connectivity

Identifiers

PMID28294464
PMCPMC5426975

What OpenQuestion holds

Textmetadata
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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.