Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

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

Tools
- Tools
+ Tools

Rajan, Surya, Brettschneider, Julia and Collingwood, Joanna F. (2020) Data for Regional segmentation strategy for DTI analysis of human corpus callosum indicates motor function deficit in mild cognitive impairment. [Dataset]

[img] Other (R code to generate tables in manuscript)
tables.R - Published Version
Available under License Creative Commons Attribution 4.0.

Download (7Kb)
[img] Other (R code to generate figures in manuscript)
figures.R - Published Version
Available under License Creative Commons Attribution 4.0.

Download (21Kb)
[img] Microsoft Excel (Data for sub_regions)
data_for_corpus_callosum_segmented_by_subregions.csv - Published Version
Available under License Creative Commons Attribution 4.0.

Download (47Kb)
[img] Microsoft Excel (Data for segmentation comparison)
data_for_segmentation_methods_comparison.csv - Published Version
Available under License Creative Commons Attribution 4.0.

Download (2821b)
[img] Microsoft Excel (Data for gender analysis (HC_sub))
data_of_gender_matched_group_HC_sub.csv - Published Version
Available under License Creative Commons Attribution 4.0.

Download (3357b)
[img] Microsoft Excel (Data for whole ROI)
data_with_corpus_callosum_segmented_as_single_ROI.csv - Published Version
Available under License Creative Commons Attribution 4.0.

Download (6Kb)
[img] Microsoft Excel (ADNI-2 longitudinal data)
longitudinal.csv - Published Version
Available under License Creative Commons Attribution 4.0.

Download (22Kb)

Request Changes to record.

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 regional differences as a function of ageing, 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 the 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: Dataset
Alternative Title: Supplementary materials (data and code)
Subjects: Q Science > QP Physiology
R Medicine > RC Internal medicine
Divisions: Faculty of Science > Engineering
Type of Data: Experimental data
Library of Congress Subject Headings (LCSH): Corpus callosum, Diffusion tensor imaging, Aging, Mild cognitive impairment, Psychomotor disorders, Corpus callosum -- Cross-sectional imaging
Publisher: School of Engineering
Official Date: 14 July 2020
Dates:
DateEvent
14 July 2020Published
Date of first compliant deposit: 15 July 2020
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .csv
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

Data record consists of 2 sets of R code designed to generate the tables in the manuscript and 5 sets of data. The 5 datasets are named according to the data they contain.

RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
UNSPECIFIEDUniversity of Warwickhttp://dx.doi.org/10.13039/501100000741
Related URLs:
  • Related item in WRAP
  • Other
Contributors:
ContributionNameContributor ID
DepositorRajan, Surya86902

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us