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. 2021 Mar 23;44(9):zsab069. doi: 10.1093/sleep/zsab069

Table 3.

Pearson correlations between related intentions executed and sleep parameters obtained in the post-encoding sleep period

Young adults Older adults
r p r p
TST (min) 0.18 0.39 0.45 0.03
N1 (min) 0.07 0.75 −0.26 0.23
N1 (%) 0.08 0.72 −0.36 0.09
N2 (min) −0.35 0.09 0.66 0.001
N2 (%) −0.40 0.10 0.56 0.01
N3 (min) 0.46 0.02 −0.16 0.46
N3 (%) 0.43 0.03 −0.17 0.44
REM (min) -0.08 0.68 0.23 0.29
REM (%) −0.15 0.47 0.10 0.64
C3 NREM delta power (µV2/Hz) 0.04 0.87 0.25 0.25
C3 NREM Sigma power (µV 2/Hz) 0.04 0.88 0.18 0.40
F3 NREM delta power (µV2/Hz) 0.08 0.76 0.20 0.39
F3 NREM Sigma power (µV2/Hz) −0.03 0.91 0.19 0.39
Spindle count (12–15 Hz) −0.11 0.65 0.22 0.31
Spindle density (per min) −0.15 0.55 −0.14 0.52
Spindle duration (s) 0.08 0.74 0.04 0.85
Spindle power (µV2/Hz) 0.10 0.70 0.07 0.75

Sleep spindles (12–15 Hz) were analyzed with automatic sleep spindle detection using an algorithm developed by Wamsley et al. [46]