An examination of sleep spindle metrics in the Sleep Heart Health Study: superiority of automated spindle detection over total sigma power in assessing age-related spindle decline.
Palepu K; Sadeghi K; Kleinschmidt DF; Donoghue J; Chapman S; Arslan AR; Westover MB; Cash SS · 2023 · BMC neurology
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Background Sleep spindle activity is commonly estimated by measuring sigma power during stage 2 non-rapid eye movement (NREM2) sleep. However, spindles account for little of the total NREM2 interval and therefore sigma power over the…
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Metadata source: Europe PMC · DOI 10.1186/s12883-023-03376-3