Evidence map›Paper›PMID 25563646›Full record

ArticleStroke2015

Diffusional kurtosis and diffusion tensor imaging reveal different time-sensitive stroke-induced microstructural changes.

Rachel A Weber, Edward S Hui, Jens H Jensen, Xingju Nie, Maria F Falangola, Joseph A Helpern, DeAnna L Adkins

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

52 citing papers in PubMed, 86 citations in OpenAlex.

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  11. Global changes in diffusion tensor imaging during acute ischemic stroke and post-stroke cognitive performance.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  19. Magnetic resonance diffusion kurtosis imaging in differential diagnosis of benign and malignant renal tumors.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
    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

7 authors at 1 institution in 2 countries.

Rachel A WeberFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
Edward S HuiFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
Jens H JensenFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
Xingju NieFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
Maria F FalangolaFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
Joseph A HelpernFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.).
DeAnna L AdkinsFrom the Department of Neurosciences (R.A.W., M.F.F., J.A.H., D.L.A.), Center for Biomedical Imaging (J.H.J., X.N., M.F.F., J.A.H., D.L.A.), Department of Radiology and Radiological Science (J.H.J., X.N., M.F.F., J.A.H.), and Health Sciences and Research, College of Health Professions (D.L.A.), Medical University of South Carolina, Charleston; and Department of Diagnostic Radiology, University of Hong Kong, Pokfulam, Hong Kong (E.S.H.). adkinsdl@musc.edu.
University of Hong Kong · HK

Funding

SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
MUSC FACIL EXPANSION &RENOV: SLE C06RR015455 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI RAYMOND, JOHN R · 2002 to 2002
$2.0M
Prediction of Motor Outcome after Acute Stroke using Diffusional Kurtosis ImagingR21NS085475 · NINDS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI ADKINS, DEANNA L, JENSEN, JENS H · 2014 to 2015
$411k
NCRR NIH HHS C06 RR015455NCRR NIH HHS UL1 RR029882NINDS NIH HHS R21 NS085475NINDS NIH HHS R21NS085475
6 · The paper itself

Abstract

background and purposeDiffusion MRI is a promising, clinically feasible imaging technique commonly used to describe white matter changes after stroke. We investigated the sensitivity of diffusion MRI to detect microstructural alterations in gray matter after sensorimotor cortex stroke in adult male rats.

methodsThe mean diffusivity (MD) and mean kurtosis of perilesional motor cortex were compared with measures in the contralesional forelimb area of sensorimotor cortex at 2 hours, 24 hours, 72 hours, or 25 days after surgery. MD and mean kurtosis were correlated to the surface densities of glia, dendrites, and axons.

resultsPerilesional mean kurtosis was increased at 72 hours and 25 days after stroke, whereas MD was no longer different from contralesional sensorimotor cortex at 24 hours after stroke. There was a significant increase in the density of glial processes at 72 hours after stroke in perilesional motor cortex, which correlated with perilesional MD.

conclusionsThese data support that mean kurtosis and MD provide different but complimentary information on acute and chronic changes in perilesional cortex. Glia infiltration is associated with pseudonormalization of MD in the perilesional motor cortex at 72 hours after lesion; however, this association is absent 25 days after lesion. These data suggest that there are likely several different, time-specific microstructural changes underlying these 2 complimentary diffusion measures.

Indexed as

AnimalsDiffusion Tensor ImagingGray MatterMaleRatsRats, Long-EvansSensorimotor CortexStrokeTime Factorsdiffusion tensor imagingglial fibrillary acidic proteinischemiamotor cortexstroke

Identifiers

PMID25563646
PMCPMC4418934
OpenAlexW2150593929

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.