Evidence map›Paper›PMID 31355989›Full record

ArticleHuman brain mapping2019

Relating diffusion tensor imaging measurements to microstructural quantities in the cerebral cortex in multiple sclerosis.

Rebecca McKavanagh, Mario Torso, Mark Jenkinson, James Kolasinski, Charlotte J Stagg, Margaret M Esiri, Jennifer A McNab, Heidi Johansen-Berg, Karla L Miller, Steven A Chance

Abstract read
In one paragraph

Article in Human brain mapping, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Predicting progression from MCI to dementia using cortical disarray measurement from diffusion MRI.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  5. Article
  6. Article
  7. Assessment of Gray Matter Microstructure and Synaptic Density in Alzheimer's Disease: A Multimodal Imaging Study With DTI and SV2A PET.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. The Use, Standardization, and Interpretation of Brain Imaging Data in Clinical Trials of Neurodegenerative Disorders.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021
    Review
  17. Article
  18. Article
  19. Article
  20. 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.

Rebecca McKavanaghNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Mario TorsoNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Mark JenkinsonWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
James KolasinskiWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Charlotte J StaggWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Margaret M EsiriNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Jennifer A McNabWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Heidi Johansen-BergWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Karla L MillerWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Steven A ChanceNuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0001-6060-3805

Funding

Integration of Diffusion MRI Fiber Tracking and CLARITY 3D Histology for Improved Neurosurgical TargetingR01NS095985 · NINDS · STANFORD UNIVERSITY · PI Jennifer A McNab · 2016 to 2026
$3.8M
Autism SpeaksEfficacy and Mechanism Evaluation ProgrammeMedical Research Council MR/K02213X/1Multiple Sclerosis SocietyNational Institute for Health Research (NIHR) Oxford Biomedical Research CentreNINDS NIH HHS R01 NS095985Simons Foundation 307098Wellcome Trust 202788/Z/16/ZWellcome Trust 203139/Z/16/Z
6 · The paper itself

Abstract

To investigate whether the observed anisotropic diffusion in cerebral cortex may reflect its columnar cytoarchitecture and myeloarchitecture, as a potential biomarker for disease-related changes, we compared postmortem diffusion magnetic resonance imaging scans of nine multiple sclerosis brains with histology measures from the same regions. Histology measurements assessed the cortical minicolumnar structure based on cell bodies and associated axon bundles in dorsolateral prefrontal cortex (Area 9), Heschl's gyrus (Area 41), and primary visual cortex (V1). Diffusivity measures included mean diffusivity, fractional anisotropy of the cortex, and three specific measures that may relate to the radial minicolumn structure: the angle of the principal diffusion direction in the cortex, the component that was perpendicular to the radial direction, and the component that was parallel to the radial direction. The cellular minicolumn microcircuit features were correlated with diffusion angle in Areas 9 and 41, and the axon bundle features were correlated with angle in Area 9 and to the parallel component in V1 cortex. This may reflect the effect of minicolumn microcircuit organisation on diffusion in the cortex, due to the number of coherently arranged membranes and myelinated structures. Several of the cortical diffusion measures showed group differences between MS brains and control brains. Differences between brain regions were also found in histology and diffusivity measurements consistent with established regional variation in cytoarchitecture and myeloarchitecture. Therefore, these novel measures may provide a surrogate of cortical organisation as a potential biomarker, which is particularly relevant for detecting regional changes in neurological disorders.

Indexed as

cortexdiffusion tensor imagingminicolumnsmultiple sclerosispostmortem

Identifiers

PMID31355989
PMCPMC6772025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.