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. 2017 Dec 13;37(50):12238–12246. doi: 10.1523/JNEUROSCI.1189-17.2017

Table 2.

Power density, slow oscillations, and spindles: correlations with pattern separation performance

Mean (SEM) Correlations with PatSep retention score
r p
Power density (μV2/Hz)
    0.5–1 Hz 329.58 (38.16) 0.352 0.238
    0.5–4 Hz 112.27 (11.80) 0.234 0.441
    1–4 Hza 86.11 (9.24) 0.143 0.642
    4–8 Hza 7.55 (0.77) −0.236 0.437
    9–12 Hza 3.18 (0.66) −0.352 0.239
    12–15 Hza 3.53 (0.43) −0.104 0.734
Slow oscillations
    Count 1130.23 (90.91) 0.408 0.166
    Density (/30 s) 1.93 (0.11) 0.613* 0.026
    Amplitude (μV)a 169.02 (6.84) 0.197 0.519
    Slope (μV/s) 401.16 (17.72) 0.215 0.480
Spindles
    Count 1659.91 (67.68) 0.039 0.909
    Density (/30 s) 2.79 (0.05) 0.683* 0.014
    Length (s) 0.85 (0.01) −0.055 0.866
    Amplitude (μV) 31.22 (1.46) −0.456 0.159

Data are the mean (SEM) for power within distinct EEG frequency bands, slow oscillation, and spindle parameters. Right columns indicate correlations with the PatSep retention score and respective p values.

aCorrelations for frequency bands that were not normally distributed were calculated with Spearman's ρ, all others with Pearson product–moment correlation.

*p < 0.05.