Evidence map›Paper›PMID 31044457›Full record

ReviewJournal of neuroscience research2022

Diffusion MR imaging acquisition and analytics for microstructural delineation in pre-clinical models of TBI.

N G Harris, A Paydar, G S Smith, S Lepore

Abstract readReview
In one paragraph

Review in Journal of neuroscience research, 2022. 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. Review
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

4 authors.

N G HarrisDepartment of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.ORCID 0000-0002-1965-6750
A PaydarDepartment of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.
G S SmithDepartment of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.
S LeporeDepartment of Neurosurgery, UCLA Brain Injury Research Centre, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, California.

Funding

Stem CellsP30HD004612 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CARPENTER, ELLEN M. · 1985 to 2014
$19.5M
UCLA Center for Translational Research in Neurodevelopment: UC-TRaNU54HD087101 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MCCRACKEN, JAMES T. · 2016 to 2020
$6.5M
New Electrographic Biomarkers of EpileptogenesisR01NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2010 to 2018
$4.0M
Strategy to Potentiate Rehabilitation after TBIR01NS116383 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL · 2021 to 2025
$3.0M
A mechanism for stunted map plasticity after TBIR01NS091222 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARRIS, NEIL · 2015 to 2019
$1.7M
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
New Biomarkers of EpileptogenesisR56NS065877 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BRAGIN, ANATOL · 2019 to 2019
$540k
NICHD NIH HHS P30 HD004612NICHD NIH HHS U54 HD087101NINDS NIH HHS R01 NS065877NINDS NIH HHS R01 NS091222NINDS NIH HHS R01 NS116383NINDS NIH HHS R56 NS065877NINDS NIH HHS UG3 NS106945
6 · The paper itself

Abstract

Significant progress has been made toward improving both the acquisition of clinical diffusion-weighted imaging (DWI) data and its analysis in the uninjured brain, through various techniques including a large number of model-based solutions that have been proposed to fit for multiple tissue compartments, and multiple fibers per voxel. While some of these techniques have been applied to clinical traumatic brain injury (TBI) research, the majority of these technological enhancements have yet to be fully implemented in the preclinical arena of TBI animal model-based research. In this review, we describe the requirement for preclinical, MRI-based efforts to provide systematic confirmation of the applicability of some of these models as indicators of tissue pathology within the injured brain. We review how current DWI techniques are currently being used in animal TBI models, and describe how both acquisition and analytic techniques could be extended to leverage the progress made in clinical work. Finally, we highlight remaining gaps in the preclinical pipeline from data acquisition to final analysis that currently have no real, preclinical-based correlate.

Indexed as

Brain Injuries, TraumaticMagnetic Resonance ImagingAnimalsBrainDiffusion Magnetic Resonance ImagingDisease Models, Animaldiffusion-weighted imagingmicrostructurepathologystructural connectivitytraumatic brain injury

Identifiers

PMID31044457
PMCPMC6824967

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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.