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Differential expression of spatiotemporal sleep spindle clusters in aging
Liisa Raud1, Martijn J P Smits1,2, Markus H Sneve1
1Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo 0373, Norway.
Distinct sleep spindle types emerge with aging, impacting memory. Understanding these variations is key to predicting cognitive decline and developing targeted interventions for brain health.
Area of Science:
- Neuroscience
- Sleep Science
- Cognitive Aging
Background:
- Sleep spindles are potential biomarkers for memory decline in aging.
- Variability in spindle attributes complicates their use in predicting cognitive deterioration.
Purpose of the Study:
- To uncover distinct sleep spindle types using data-driven clustering.
- To investigate the relevance of these spindle types to memory decline in aging.
Main Methods:
- Polysomnography data from younger and older adults were analyzed.
- Clustering analysis used multiple features and spatiotemporal context, independent of age.
Main Results:
- Four spindle clusters were identified: N3 spindles, N2 spindles with slow oscillations, unilateral N2 spindles, and bilateral N2 spindles.
- Older adults showed fewer bilateral N2 spindles and more N2 spindles with slow oscillations.
- Fewer bilateral N2 spindles correlated with better memory in younger adults; higher spindle power reduced sleep's memory benefit.
Conclusions:
- Spindle cluster expression differs in older age, showing intertwined dynamics with slow oscillations and aging.
- Spindle heterogeneity aligns with global sleep stage dynamics.
- The spatiotemporal context of sleep spindles is crucial for understanding their role in cognitive aging.
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