A user's introduction to an algorithmic method to identify space–time profiles of sleep slow oscillations: dataset constraints, case-use examples, and open-source code.
Studies of sleep slow oscillations (SOs, 0.5–1.5 Hz) have emphasized their importance for cognition and health, and their variable spatial organization. We have introduced a data-driven method to analyze SOs as events that differentiate in their space–time co-emergence on the electrode manifold. Thi...
| Published in: | Sleep Advances Vol. 7; no. 1; pp. 1 - 13 |
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| Main Authors: | , , |
| Format: | research tables/charts Journal Article |
| Published: |
Oxford University Press / USA
2026
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| Online Access: | View this record in EBSCOhost |