Evidence map›Paper›PMID 30833925›Full record

ArticleFrontiers in neurology2019

Predicting Motor Outcomes in Stroke Patients Using Diffusion Spectrum MRI Microstructural Measures.

Kyler Hodgson, Ganesh Adluru, Lorie G Richards, Jennifer J Majersik, Greg Stoddard, Nagesh Adluru, Edward DiBella

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.1field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 36 citations in OpenAlex.

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  16. The Association Between an Antecedent of Transient Ischemic Attack Prior to Onset of Stroke and Functional Ambulatory Outcome.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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 3 institutions in 1 country.

Kyler HodgsonDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Ganesh AdluruDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
Lorie G RichardsDepartment of Occupational and Recreational Therapies, University of Utah, Salt Lake City, UT, United States.
Jennifer J MajersikDepartment of Neurology, University of Utah, Salt Lake City, UT, United States.
Greg StoddardDivison of Epidemiology, Department of Internal Medicine, University of Utah, Salt Lake City, UT, United States.
Nagesh AdluruWaisman Center, University of Wisconsin, Madison, WI, United States.
Edward DiBellaDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT, United States.
University of Utah · USAdvanced Imaging Research (United States) · USUniversity of Wisconsin–Madison · US

Funding

UT StrokeNet Administrative SupplementU24NS107228 · NINDS · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jennifer Juhl Majersik · 2018 to 2026
$3.0M
Rapid high order diffusion imaging for strokeR01NS083761 · NINDS · UNIVERSITY OF UTAH · PI DIBELLA, EDWARD VR · 2013 to 2016
$1.4M
NINDS NIH HHS R01 NS083761NINDS NIH HHS U24 NS107228
6 · The paper itself

Abstract

Improved understanding of neuroimaging signal changes and their relation to patient outcomes after ischemic stroke is needed to improve ability to predict motor improvement and make therapy recommendations. The posterior limb of the internal capsule (PLIC) is a hub of afferent and efferent motor signaling and this work proposes new, image-based methods for prognosis based on interhemispheric differences in the PLIC. In this work, nine acute supratentorial ischemic stroke patients with motor impairment received a baseline, 203-direction diffusion brain MRI and a clinical assessment 3-12 days post-stroke and were compared to nine age-matched healthy controls. Asymmetries based on the mean and Kullback-Leibler divergence in the ipsilesional and contralesional PLIC were calculated for diffusion tensor imaging (DTI) and diffusion spectrum imaging (DSI) measures from the baseline MRI. Predictions of upper extremity Fugl-Meyer (FM) scores at 5-weeks follow-up from baseline measures of PLIC asymmetry in diffusion tensor imaging (DTI) and diffusion spectrum imaging (DSI) models were evaluated. For the stroke participants, the baseline asymmetry measures in the PLIC for the orientation dispersion index of the neurite orientation dispersion and density imaging (NODDI) model were highly correlated with upper extremity FM outcomes (

Indexed as

diffusionDSIDTIFugl-MeyermotorMRINODDIstroke

Identifiers

PMID30833925
PMCPMC6387951
OpenAlexW2917050866

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.