Evidence map›Paper›PMID 40909007›Full record

ArticleFrontiers in neurology2025

Improved injury detection through harmonizing multi-site neuroimaging data after experimental TBI: a Translational Outcomes Project in Neurotrauma consortium study.

G Kislik, R Fox, A V Korotcov, J Zhou, M Febo, Babak Moghadas, Adnan Bibic, Yunfan Zou, Jieru Wan, R C Koehler and 10 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

G Kislik *UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, University of California at Los Angeles, Los Angeles, CA, United States.
R Fox *UCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, University of California at Los Angeles, Los Angeles, CA, United States.
A V KorotcovDepartment of Radiology & Bioengineering, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
J ZhouDepartment of Radiology, Johns Hopkins University, Baltimore, MD, United States.
M FeboDepartment of Psychiatry, University of Florida, Gainesville, FL, United States.
Babak MoghadasDepartment of Radiology, Johns Hopkins University, Baltimore, MD, United States.
Adnan BibicDepartment of Radiology, Johns Hopkins University, Baltimore, MD, United States.
Yunfan ZouDepartment of Radiology, Johns Hopkins University, Baltimore, MD, United States.
Jieru WanDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States.
R C KoehlerDepartment of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD, United States.
T AdebayoDepartment of Radiology & Bioengineering, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
M P BurnsDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
J T McCabeDepartment of Anatomy, Physiology & Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
K K WangMorehouse School of Medicine, Atlanta, GA, United States.
J R HuieUniversity of California San Francisco, San Francisco, CA, United States.
A R FergusonUniversity of California San Francisco, San Francisco, CA, United States.
A PaydarUCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, University of California at Los Angeles, Los Angeles, CA, United States.
I B WannerSemel Institute for Neuroscience and Human Behavior, Intellectual Development and Disabilities Research Center, University of California at Los Angeles, Los Angeles, CA, United States.
N G HarrisUCLA Brain Injury Research Center, Department of Neurosurgery, Geffen Medical School, University of California at Los Angeles, Los Angeles, CA, United States.
TOP-NT Investigators

Funding

Predictive Accuracy of Acute Astroglial Compromise Biomarkers after Traumatic Brain InjuryUH3NS106945 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL, WANNER, INA BEATE · 2020 to 2023
$1.4M
Development of Novel Functional Markers for TBI Using Molecular MRIUH3NS106937 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES, ZHOU, JINYUAN · 2020 to 2022
$1.3M
Detecting the disruption and recovery of synaptic connectivity after TBIUH3NS106941 · NINDS · GEORGETOWN UNIVERSITY · PI BURNS, MARK P · 2020 to 2022
$1.2M
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UH3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2020 to 2022
$1.2M
NIBA-TBI: Neuro-Imaging and biofluid-based Biomarker Assessments as translational pathophysiological outcome measures in TBIUH3NS106938 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, KEVIN KA WANG · 2020 to 2023
$1.1M
Predictive accuracy of acute astroglial compromise biomarkers after traumatic brain injuryUG3NS106945 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL, WANNER, INA BEATE · 2018 to 2020
$882k
Development of Novel Functional Markers for TBI Using Molecular MRIUG3NS106937 · NINDS · JOHNS HOPKINS UNIVERSITY · PI KOEHLER, RAYMOND CHARLES, ZHOU, JINYUAN · 2018 to 2019
$859k
NIBA-TBI: Neuro-Imaging and biofluid-based Biomarker Assessments as translational pathophysiological outcome measures in TBIUG3NS106938 · NINDS · UNIVERSITY OF FLORIDA · PI WANG, KEVIN KA WANG · 2018 to 2019
$758k
Detecting the disruption and recovery of synaptic connectivity after TBIUG3NS106941 · NINDS · GEORGETOWN UNIVERSITY · PI BURNS, MARK P · 2018 to 2019
$750k
Translational Outcomes Project: Visualizing Syndromic Information and Outcomes for Neurotrauma (TOP-VISION)UG3NS106899 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BEATTIE, MICHAEL S, BRESNAHAN, JACQUELINE C · 2018 to 2019
$480k
NINDS NIH HHS UG3 NS106899NINDS NIH HHS UG3 NS106937NINDS NIH HHS UG3 NS106938NINDS NIH HHS UG3 NS106941NINDS NIH HHS UG3 NS106945NINDS NIH HHS UH3 NS106899NINDS NIH HHS UH3 NS106937NINDS NIH HHS UH3 NS106938NINDS NIH HHS UH3 NS106941NINDS NIH HHS UH3 NS106945
6 · The paper itself

Abstract

Multi-site neuroimaging studies have become increasingly common in order to generate larger samples of reproducible data to answer questions associated with smaller effect sizes. The data harmonization model NeuroCombat has been shown to remove site effects introduced by differences in site-related technical variance while maintaining group differences, yet its effect on improving statistical power in pre-clinical models of CNS disease is unclear. The present study examined fractional anisotropy data computed from diffusion weighted imaging data at 3 and 30 days post-controlled cortical impact injury from 184 adult rats across four sites as part of the Translational-Outcome-Project-in-Neurotrauma (TOP-NT) Consortium. Findings supported prior clinical reports that NeuroCombat fails to remove site effects in data containing a high proportion-of-outliers (>5%) and skewness, which introduced significant variation in non-outlier sites. After removal of one outlier site and harmonization using a pooled sham population, the data displayed an increase in effect size and group level effects (

Indexed as

axonal injurycontrolled cortical impact injurydiffusion-weighted imagingharmonizationmulti-sitetraumatic brain injury

Identifiers

PMID40909007
PMCPMC12406496

What OpenQuestion holds

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Registered trials

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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.