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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 . 108870. doi:10.1016/j.jneumeth.2020.108870 (In Press)
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WRAP-regional-segmentation-strategy-DTI-analysis-human-corpus-callosum-indicates-motor-function-deficit-mild-cognitive-impairment-Rajan-2020.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only until 17 July 2021. Contact author directly, specifying your specific needs. - Requires a PDF viewer. Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. Download (9Mb) |
Official URL: http://dx.doi.org/10.1016/j.jneumeth.2020.108870
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 | ||||||
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| Subjects: | Q Science > QP Physiology R Medicine > RC Internal medicine |
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| Divisions: | Faculty of Science > Engineering Faculty of Science > Statistics |
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| 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: | 17 July 2020 | ||||||
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| Date of first compliant deposit: | 29 July 2020 | ||||||
| Article Number: | 108870 | ||||||
| DOI: | 10.1016/j.jneumeth.2020.108870 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | In Press | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| RIOXX Funder/Project Grant: |
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