Beyond lesion-load: tractometry-based metrics for characterizing white matter lesions within fibre pathways

Chamberland, Maxime ORCID: https://orcid.org/0000-0001-7064-0984, Winter, Mia, Brice, Thomas A. W., Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 and Tallantyre, Emma C. ORCID: https://orcid.org/0000-0002-3760-6634 2021. Beyond lesion-load: tractometry-based metrics for characterizing white matter lesions within fibre pathways. Presented at: MICCAI 2020 International Workshop on Computational Diffusion MRI (CDMRI 2020), Virtual, 8 October 2020. Published in: Gyori, Noemi, Hutter, Jana, Nath, Vishwesh, Palombo, Marco, Pizzolato, Marco and Zhang, Fan eds. Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020. Mathematics and Visualization pp. 227-237. 10.1007/978-3-030-73018-5_18

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Abstract

In multiple sclerosis studies, lesion volume (or lesion load) derived from conventional T2 imaging correlates modestly with clinical assessment. Determining which specific white matter pathways are impacted by lesions may provide additional insights regarding task-specific clinical impairment. Using diffusion MRI, we introduce a set of tract-based metrics that go beyond traditional lesion load approaches and show how they relate to task performance (i.e., working memory, information processing and verbal fluency) in a cohort of 40 patients with multiple sclerosis.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Medicine Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
ISBN:	9783030730178
Date of First Compliant Deposit:	28 October 2020
Date of Acceptance:	31 August 2020
Last Modified:	06 May 2023 02:30
URI:	https://orca.cardiff.ac.uk/id/eprint/136003

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