Evidence map›Paper›PMID 39545147›Full record

ArticleFrontiers in human neuroscience2024

The neurocognitive correlates of DTI indicators of white matter disorganization in pediatric moderate-to-severe traumatic brain injury.

Daniel A Ignacio, Talin Babikian, Emily L Dennis, Kevin C Bickart, Meeryo Choe, Aliyah R Snyder, Anne Brown, Christopher C Giza, Robert F Asarnow

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

9 authors.

Daniel A IgnacioSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Talin BabikianSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Emily L DennisDepartment of Neurology, School of Medicine, The University of Utah School of Medicine, Salt Lake City, UT, United States.
Kevin C BickartSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Meeryo ChoeSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Aliyah R SnyderDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.
Anne BrownSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Christopher C GizaSteve Tisch Brain SPORT Program, University of California, Los Angeles, Los Angeles, CA, United States.
Robert F AsarnowDepartment of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States.

Funding

Reconnection of Neural Networks and Cognitive Recovery after Pediatric TBIR01HD061504 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASARNOW, ROBERT F · 2010 to 2014
$2.9M
NICHD NIH HHS R01 HD061504
6 · The paper itself

Abstract

Introduction: Neuroimaging has expanded our understanding of pediatric brain disorders in which white matter organization and connectivity are crucial to functioning. Paralleling the known pathobiology of many neurodevelopmental disorders, traumatic brain injury (TBI) in childhood can alter trajectories of brain development. Specifically, diffusion tensor imaging (DTI) studies in TBI have demonstrated white matter (WM) abnormalities that suggest microstructural disruptions that may underlie atypical neurodevelopment. The neurocognitive correlates of these previous findings will be explored in this study. Methods: Indicators of WM organization were collected in 44 pediatric patients with moderate/severe TBI and 76 controls over two post-injury time points: T1 (8-20 weeks) and T2 (54-96 weeks). Our previous work identified two TBI subgroups based on information processing differences: one with slower interhemispheric transfer times (IHTT) of visual information than controls and another with comparable IHTT. We extend this prior work by evaluating neurocognitive trajectories associated with divergent WM structure post-injury in slow and normal IHTT TBI subgroups. Results: At T1, both TBI subgroups performed significantly worse than controls on a norm-referenced working memory index (WMI), but only the Normal IHTT TBI subgroup significantly improved over the 12-month follow-up period ( Discussion: In the year following TBI, some pediatric patients experienced persisting working memory disturbance while others exhibited recovery; stratification was based on an event-related potential marker. More or less improvement in neurocognition was also associated with the degree of WM disorganization. IHTT, measured post-acutely after TBI, and progression of WM disorganization over time predicted neurocognitive trajectories at the chronic timeframe - potentially representing a prognostic biomarker.

Indexed as

diffusion tensor imagingfrontoparietal networkinterhemispheric transfer timemoderate/severe pediatric TBIpostcentral cortexprecentral cortexwhite matter organizationworking memory

Identifiers

PMID39545147
PMCPMC11560760

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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.