Local volume fraction distributions of axons, astrocytes, and myelin in deep subcortical white matter
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- UOA11-3872
- Type
- D - Journal article
- DOI
-
10.1016/j.neuroimage.2018.06.040
- Title of journal
- NeuroImage
- Article number
- -
- First page
- 275
- Volume
- 179
- Issue
- -
- ISSN
- 1053-8119
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
7
- Research group(s)
-
C - BMH (Applied Computing in Biology, Medicine and Health)
- Citation count
- 8
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- For the first time, we quantitatively characterised volume fraction distributions in 3 deep subcortical white matter structures using the largest cohort to date of an ageing population. This confirmed/test several dementia modelling assumptions poorly back experimentally to date. A trade-off between precision/resolution emerged, and we determined the optimal scale for computing such distributions. Unlike so far believed, we demonstrated crossing fibres in DWMRI are not merely a result of partial volume effects in mm-size voxels. The phenomenon persists even for 1/10th of clinically achievable resolutions. The data informed new microstructural brain DW-MRI models and understanding (www.biorxiv.org/content/10.1101/2020.10.01.320507v1). Follow on paper 10.1016/j.nicl.2019.101839.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
