Evidence map›Paper›PMID 37279166›Full record

ArticleBrain and behavior2023

Characterization of white matter alterations using diffusion kurtosis imaging in patients with amyotrophic lateral sclerosis.

Tanushka Anand, Abdullah Ishaque, Daniel Ta, Muhammad Umer Khan, Komal Bharti, Andrew Wu, Dennell Krebs, Christian Beaulieu, Peter Seres, Sanjay Kalra

Abstract read
In one paragraph

Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Surface-based Analyses of Diffusional Kurtosis Imaging in Amyotrophic Lateral Sclerosis: Relationship with Onset Subtypes.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Article
  4. Article
  5. Article
  6. Clinical neurophysiology practice · 2024
    Review
  7. 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

10 authors.

Tanushka AnandDivision of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada.ORCID 0000-0003-2575-1663
Abdullah IshaqueNeuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.
Daniel TaFaculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada.ORCID 0000-0002-4975-2970
Muhammad Umer KhanDepartment of Computing Sciences, University of Alberta, Edmonton, Canada.
Komal BhartiNeuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.
Andrew WuNeuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada.
Dennell KrebsDivision of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada.
Christian BeaulieuDepartment of Biomedical Engineering, University of Alberta, Edmonton, Canada.
Peter SeresDepartment of Biomedical Engineering, University of Alberta, Edmonton, Canada.
Sanjay KalraDivision of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada.

Funding

CIHR
6 · The paper itself

Abstract

backgroundTo evaluate the degeneration of the corticospinal tract (CST) and corpus callosum (CC) in patients with motor neuron disease and upper motor neuron (UMN) dysfunction using diffusion kurtosis imaging (DKI).

methodsTwenty-seven patients and 33 healthy controls underwent magnetic resonance imaging along with clinical and neuropsychological testing. Tractography of diffusion tensor images was performed to extract tracts of the bilateral CST and CC. Group mean differences both across the entire averaged tract and along each tract were assessed, including correlations between diffusion metrics and clinical measures. Tract-based spatial statistics (TBSS) was performed to evaluate the spatial distribution of whole-brain microstructural abnormalities in patients.

resultsIn comparison to controls, patients had significantly higher mean and radial diffusivity and lower fractional anisotropy (FA), kurtosis anisotropy, mean kurtosis (MK), and radial kurtosis (RK) in the CST and CC (p < .017). Along-the-tract analysis revealed changes concentrated in the posterior limb of the internal capsule, corona radiata, and primary motor cortex (false-discovery rate p < .05). FA of the left CST correlated with disease progression rate, whereas MK of the bilateral CST correlated with UMN burden (p < .01). TBSS results corroborated along-tract analysis findings and additionally revealed reduced RK and MK in the fornix, where diffusion tensor imaging (DTI) changes were absent.

conclusionDKI abnormalities in the CST and CC are present in patients with UMN dysfunction, potentially revealing complementary information to DTI regarding the pathology and microstructural alterations occurring in such patients. DKI shows promise as a potential in vivo biomarker for cerebral degeneration in amyotrophic lateral sclerosis.

Indexed as

Amyotrophic Lateral SclerosisBrain DiseasesWhite MatterBrainDiffusion Tensor ImagingHumanscorpus callosumcorticospinal tractdiffusion kurtosis imagingdiffusion tensor imagingupper motor neuron

Identifiers

PMID37279166
PMCPMC10338744

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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.