Visual dysfunction predicts cognitive impairment and white matter degenera- tion in Parkinson’s disease
| Autor: | Angeliki Zarkali, Peter McColgan, Louise-Ann Leyland, Andrew Lees, Rimona Weil |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Journal of Neurology, Neurosurgery & Psychiatry. 93:A95.1-A95 |
| ISSN: | 1468-330X 0022-3050 |
| Popis: | IntroductionVisual dysfunction predicts Parkinson’s dementia but whether this translates to structural change is not known. We aimed to identify longitudinal white matter changes in Parkinson’s with low visual function and those who developed mild cognitive impairment(MCI).MethodsWe used fixel-based analysis to examine longitudinal white matter change in Parkinson’s. Diffusion MRI and clinical assessments were performed in 77 patients (22 low/55 high visual performers; and 13 MCI/51 normal cognition) and 25 controls at baseline and after 18 months. We compared micro-structural changes in fibre density, macro-structural changes in fibre cross-section and combined fibre density and cross-section across white matter, adjusting for age, gender and intracranial volume.ResultsParkinson’s with low visual performance showed worse cognition at follow-up (r=-0.386, p-0.024) and were more likely to develop MCI than those with normal vision (p=0.008). Parkinson’s with poor visual function showed diffuse micro-structural and macro-structural changes at baseline, whereas those with MCI showed fewer baseline changes. At follow-up, Parkinson’s with low visual function showed wide- spread macrostructural changes with up to 22% further reductions in fibre cross-section, involving the fronto-occipital fasciculi, external capsules, and middle cerebellar peduncles bilaterally. No longitudinal change was seen in baseline MCI or in MCI converters, even when combining the two groups.ConclusionsParkinson’s with poor visual function show increased white matter damage over time, providing further evidence for visual function as a marker of imminent cognitive decline.a.zarkali@ucl.ac.uk |
| Databáze: | OpenAIRE |
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