Evidence map›Paper›PMID 29740269›Full record

ArticleFrontiers in neuroscience2018

Comparison of Multi-Tensor Diffusion Models' Performance for White Matter Integrity Estimation in Chronic Stroke.

Olena G Filatova, Lucas J van Vliet, Alfred C Schouten, Gert Kwakkel, Frans C T van der Helm, Frans M Vos

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Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. A review of diffusion MRI in mood disorders: mechanisms and predictors of treatment response.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Olena G FilatovaDepartment of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.
Lucas J van VlietQuantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, Netherlands.
Alfred C SchoutenDepartment of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.
Gert KwakkelDepartment of Rehabilitation Medicine, MOVE Research Institute Amsterdam, Amsterdam Neurosciences, VU University Medical Center, Amsterdam, Netherlands.
Frans C T van der HelmDepartment of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.
Frans M VosQuantitative Imaging Group, Department of Imaging Physics, Delft University of Technology, Delft, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Better insight into white matter (WM) alterations after stroke onset could help to understand the underlying recovery mechanisms and improve future interventions. MR diffusion imaging enables to assess such changes. Our goal was to investigate the relation of WM diffusion characteristics derived from diffusion models of increasing complexity with the motor function of the upper limb. Moreover, we aimed to evaluate the variation of such characteristics across different WM structures of chronic stroke patients in comparison to healthy subjects. Subjects were scanned with a two b-value diffusion-weighted MRI protocol to exploit multiple diffusion models: single tensor, single tensor with isotropic compartment, bi-tensor model, bi-tensor with isotropic compartment. From each model we derived the mean tract fractional anisotropy (FA), mean (MD), radial (RD) and axial (AD) diffusivities outside the lesion site based on a WM tracts atlas. Asymmetry of these measures was correlated with the Fugl-Meyer upper extremity assessment (FMA) score and compared between patient and control groups. Eighteen chronic stroke patients and eight age-matched healthy individuals participated in the study. Significant correlation of the outcome measures with the clinical scores of stroke recovery was found. The lowest correlation of the corticospinal tract

Indexed as

anatomic lateralizationbraindiffusion MRIdiffusion tensor imaging/methodsmotor performancerehabilitation outcomesstroke

Identifiers

PMID29740269
PMCPMC5925961

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