期刊
SLEEP
卷 38, 期 6, 页码 853-858出版社
OXFORD UNIV PRESS INC
DOI: 10.5665/sleep.4726
关键词
basal ganglia; metabolite clearance; MRI; perivascular space; polysomnography; sleep; small vessel disease; stroke; Virchow-Robin; white matter
资金
- Canadian Institutes of Health Research (MT) [13129]
- Linda C. Campbell Foundation
- Heart & Stroke Foundation Canadian Partnership for Stroke Recovery
- Sunnybrook Health Sciences Centre
- Sunnybrook Research Institute
- Brill Chair Neurology
- University of Toronto
- Heart and Stroke Foundation of Canada New Investigator Award
- Henry Barnett Award
- Canadian Institutes of Health Research
- Focus on Stroke Research Fellowship
- Heart and Stroke Foundation of Canada
- Canadian Stroke Network
- Canadian Partnership for Stroke Recovery
Study Objectives: To test the hypothesis that enlarged Virchow-Robin space volumes (VRS) are associated with objective measures of poor quality sleep. Design: Retrospective cross-sectional study. Setting: Sunnybrook Health Sciences Centre. Patients: Twenty-six patients being evaluated for cerebrovascular disease were assessed using polysomnography and high-resolution structural magnetic resonance imaging. Measurements and Results: Regionalized VRS were quantified from three-dimensional high-resolution magnetic resonance imaging and correlated with measures of polysomnography-derived sleep parameters while controlling for age, stroke volume, body mass index, systolic blood pressure, and ventricular cerebrospinal fluid volume. Sleep efficiency was negatively correlated with total VRS (rho = -0.47, P = 0.03) and basal ganglia VRS (rho = -0.54, P = 0.01), whereas wake after sleep onset was positively correlated with basal ganglia VRS (rho = 0.52, P = 0.02). Furthermore, VRS in the basal ganglia were negatively correlated with duration of N3 (rho = -0.53, P = 0.01). Conclusions: These preliminary results suggest that sleep may play a role in perivascular clearance in ischemic brain disease, and invite future research into the potential relevance of Virchow-Robin spaces as an imaging biomarker for nocturnal metabolite clearance.
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