Tract-specific MRI measures explain learning and recall differences in multiple sclerosis
| Autor: | Derek K. Jones, Maxime Chamberland, Neil Robertson, Emma C. Tallantyre, Thomas A. W. Brice, Mia Winter |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
cognition
medicine.medical_specialty Elementary cognitive task Audiology Corpus callosum 050105 experimental psychology White matter Lesion 03 medical and health sciences 0302 clinical medicine medicine Verbal fluency test 0501 psychology and cognitive sciences structural reserve Recall AcademicSubjects/SCI01870 business.industry Multiple sclerosis 05 social sciences General Engineering Cognition medicine.disease medicine.anatomical_structure Original Article AcademicSubjects/MED00310 bundle load Tractometry medicine.symptom lesionometry business 030217 neurology & neurosurgery |
| Zdroj: | Brain Communications |
| ISSN: | 2632-1297 |
| DOI: | 10.1093/braincomms/fcab065 |
| Popis: | Cognitive difficulties are common and a key concern for people with multiple sclerosis. Advancing knowledge of the role of white matter pathology in multiple sclerosis-related cognitive impairment is essential as both occur early in the disease with implications for early intervention. Consequently, this cross-sectional study asked whether quantifying the relationships between lesions and specific white matter structures could better explain co-existing cognitive differences than whole brain imaging measures. Forty participants with relapse-onset multiple sclerosis underwent cognitive testing and MRI at 3 Tesla. They were classified as cognitively impaired (n = 24) or unimpaired (n = 16) and differed across verbal fluency, learning and recall tasks corrected for intelligence and education (corrected P-values = 0.007–0.04). The relationships between lesions and white matter were characterized across six measures: conventional voxel-based T2 lesion load, whole brain tractogram load (lesioned volume/whole tractogram volume), whole bundle volume, bundle load (lesioned volume/whole bundle volume), Tractometry (diffusion-tensor and high angular resolution diffusion measures sampled from all bundle streamlines) and lesionometry (diffusion measures sampled from streamlines traversing lesions only). The tract-specific measures were extracted from corpus callosum segments (genu and isthmus), striato-prefrontal and -parietal pathways, and the superior longitudinal fasciculi (sections I, II and III). White matter measure-task associations demonstrating at least moderate evidence against the null hypothesis (Bayes Factor threshold < 0.2) were examined using independent t-tests and covariate analyses (significance level P Graphical Abstract Graphical Abstract A key priority in multiple sclerosis is to uncover the neural mechanisms associated with cognitive change. Winter et al. demonstrate that the relationships between white matter pathology and the structure of specific tracts explain differences in learning and recall tasks in long-standing relapse-onset multiple sclerosis. |
| Databáze: | OpenAIRE |
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