Structural Network Efficiency Predicts Conversion to Incident Parkinsonism in Patients With Cerebral Small Vessel Disease
Publication year
2024Source
Journals of Gerontology Series A-Biological Sciences and Medical Sciences, 79, 1, (2024), article glad182ISSN
Publication type
Article / Letter to editor
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Organization
Neurology
aPI Group MR Structural Quantitative Imaging
Neurophysics
PI Group MR Techniques in Brain Function
Journal title
Journals of Gerontology Series A-Biological Sciences and Medical Sciences
Volume
vol. 79
Issue
iss. 1
Subject
150 000 MR Techniques in Brain Function; 320 000 MR Structural Quantitative Imaging; Neurology - Radboud University Medical Center - DCMNAbstract
BACKGROUND: To investigate whether structural network disconnectivity is associated with parkinsonian signs and their progression, as well as with an increased risk of incident parkinsonism. METHODS: In a prospective cohort (Radboud University Nijmegen Diffusion Tensor and Magnetic Resonance Cohort study) consisting of 293 participants with small vessel disease (SVD), we assessed parkinsonian signs and incident parkinsonism over an 8-year follow-up. In addition, we reconstructed the white matter network followed by graph-theoretical analyses to compute the network metrics. Conventional magnetic resonance imaging markers for SVD were assessed. RESULTS: We included 293 patients free of parkinsonism at baseline (2011), with a mean age 68.8 (standard deviation [SD] 8.4) years, and 130 (44.4%) were men. Nineteen participants (6.5%) developed parkinsonism during a median (SD) follow-up time of 8.3 years. Compared with participants without parkinsonism, those with all-cause parkinsonism had higher Unified Parkinson's Disease Rating scale (UPDRS) scores and lower global efficiency at baseline. Baseline global efficiency was associated with UPDRS motor scores in 2011 (β = -0.047, p < .001) and 2015 (β = -0.84, p < .001), as well as with the changes in UPDRS scores during the 4-year follow-up (β = -0.63, p = .004). In addition, at the regional level, we identified an inter-hemispheric disconnected network associated with an increased UPDRS motor score. Besides, lower global efficiency was associated with an increased risk of all-cause and vascular parkinsonism independent of SVD markers. CONCLUSIONS: Our findings suggest that global network efficiency is associated with a gradual decline in motor performance, ultimately leading to incident parkinsonism in the elderly with SVD. Global network efficiency may have the added value to serve as a useful marker to capture changes in motor signs.
This item appears in the following Collection(s)
- Academic publications [245131]
- Donders Centre for Cognitive Neuroimaging [4021]
- Electronic publications [132446]
- Faculty of Medical Sciences [93207]
- Faculty of Science [37407]
- Open Access publications [106003]
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