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Regional segmentation strategy for DTI analysis of human corpus callosum indicates motor function deficit in mild cognitive impairment

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Rajan, Surya, Brettschneider, Julia and Collingwood, Joanna F. (2020) Regional segmentation strategy for DTI analysis of human corpus callosum indicates motor function deficit in mild cognitive impairment. Journal of Neuroscience Methods, 354 . 108870. doi:10.1016/j.jneumeth.2020.108870 ISSN 0165-0270.

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Official URL: https://doi.org/10.1016/j.jneumeth.2020.108870

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Abstract

Background: The corpus callosum is the largest white matter tract in the human brain, involved in inter-hemispheric transfer and integration of lateralised visual, sensory-motor, language, and cognitive information. Microstructural alterations are implicated in ageing as well as various neurological conditions.

New Method: Cross-sectional diffusion-weighted images of 107 healthy adults were used to create a linear regression model of the ageing corpus callosum and its sub-regions to evaluate the impact of analysis by sub-region, and to test for deviations from healthy ageing parameters in 28 subjects with mild cognitive impairment (MCI). Alterations in diffusion properties including fractional anisotropy, mean, radial and axial diffusivities were investigated as a function of age.

Results: Changes in DTI parameters showed age-dependent regional differences, likely arising from axonal diameter variation across cross-sectional regions of interest in the corpus callosum. Patterns suggestive of degeneration with healthy ageing were observed in all regions. Diffusion parameters in sub-regions projecting to pre-motor, primary, and supplementary motor areas of the brain differed for MCI versus healthy controls, and MCI subjects were more likely than healthy controls to experience a reduction in motor skills.

Comparison with Existing Methods: Statistical analyses of the corpus callosum by five manually-defined sub-regions, instead of a single manually-defined region of interest, revealed region-specific changes in microstructure in healthy ageing and MCI, and accounted for clinically-evaluated differences in motor skills between cohorts.

Conclusion: This method will support future studies of corpus callosum, enabling identification and measurement of white matter changes that are undetectable with the single ROI approach.

Item Type: Journal Article
Subjects: Q Science > QP Physiology
R Medicine > RC Internal medicine
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Faculty of Science, Engineering and Medicine > Science > Statistics
Library of Congress Subject Headings (LCSH): Corpus callosum , Diffusion tensor imaging , Aging , Mild cognitive impairment, Psychomotor disorders , Corpus callosum -- Cross-sectional imaging
Journal or Publication Title: Journal of Neuroscience Methods
Publisher: Elsevier BV
ISSN: 0165-0270
Official Date: 1 November 2020
Dates:
DateEvent
1 November 2020Published
17 July 2020Available
16 July 2020Accepted
Volume: 354
Article Number: 108870
DOI: 10.1016/j.jneumeth.2020.108870
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 29 July 2020
Date of first compliant Open Access: 17 July 2021
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIEDUniversity of Warwickhttp://dx.doi.org/10.13039/501100000741
Related URLs:
  • Related dataset
Contributors:
ContributionNameContributor ID
Research GroupAlzheimer’s Disease Neuroimaging Initiative, UNSPECIFIED

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