2022
DOI: 10.1016/j.bbr.2022.113751
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Associations between cortical activation and network interaction during sleep

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Cited by 2 publications
(1 citation statement)
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“…The power density value of each 30-s epoch was determined using the AR Burg method with 2-s Hamming windows. Following this, power density values were then averaged across delta (0.5 to ≤ 4 Hz), theta (>4 to ≤ 8 Hz), alpha (>8 to ≤ 11 Hz), sigma (>11 to ≤ 16 Hz), beta (>16 to ≤ 32 Hz), and gamma (>32 to ≤ 50 Hz) frequencies (Wang et al, 2022 ), and EEG relative power was calculated for each of the frequency bands as a function of the EEG total power (0.5 to ≤ 50 Hz) and averaged between 16 EEG channels. The relative power can reduce intra-individual variances and enhance the possibility of detecting changes within a spectrum (Herberger et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%
“…The power density value of each 30-s epoch was determined using the AR Burg method with 2-s Hamming windows. Following this, power density values were then averaged across delta (0.5 to ≤ 4 Hz), theta (>4 to ≤ 8 Hz), alpha (>8 to ≤ 11 Hz), sigma (>11 to ≤ 16 Hz), beta (>16 to ≤ 32 Hz), and gamma (>32 to ≤ 50 Hz) frequencies (Wang et al, 2022 ), and EEG relative power was calculated for each of the frequency bands as a function of the EEG total power (0.5 to ≤ 50 Hz) and averaged between 16 EEG channels. The relative power can reduce intra-individual variances and enhance the possibility of detecting changes within a spectrum (Herberger et al, 2020 ).…”
Section: Methodsmentioning
confidence: 99%