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Clinical Category as per Younes et al. 2021 (PubMed ID: 34156473)Search for all EEG variables within this dataset

Heart rate in repsonse to arousals. Search for all EEG variables within this dataset

Heart rate in repsonse to arousals. Search for all EEG variables within this dataset

Change in Odds Ratio Product (ORP) across the night, a greater increase in ORP from the beginning of to end of the night suggests more restorative sleep. Younes et al. 2020 (PubMed ID: 32729619). Source: :avg_orp_last120m_nrem: and :min_orp_firsthalf_nrem:. Search for all EEG variables within this dataset

Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset

Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset

Component of intraclass correlation, see :icc_rl_orp: for more information. Search for all EEG variables within this dataset

Intraclass correlation between right and left Odds Ratio Product (ORP) across all epochs in Total Recording Time (TRT). A high correlation indicates good agreement in sleep depth between right and left hemispheres. The reasons for a low correlation could be: a) reduced range of ORP across TRT (e.g., little stage wake or deep sleep) b) systematic difference between the two electrodes (e.g. noise in one electrode or unilateral brain pathology) c) true dissociation between right and left sleep (Dolphin sleep). :icc_ms_rows:, :icc_ms_col: and :icc_ms_error: distinguish between these three possibilities, respectively. Younes et al. 2021 (PubMed ID: 34156473) Dres et al. 2019 (PubMed ID: 30818966)Azarbarzin et al. 2021 (PubMed ID: 32441843) Search for all EEG variables within this dataset

Arousal intensity on a scale from 1 to 9 (Younes 2017). Search for all EEG variables within this dataset

Used (along with :avg_orp_last120m_nrem:) to calculate :diff_orp:. Search for all EEG variables within this dataset

Nine Odds Ratio Product (ORP) types with different potential mechanisms and associations with demographics, clinical phenotypes and outcomes. Source: :sum_deciles_1and2: Younes et al. 2022 (PubMed ID: 35272350) Search for all EEG variables within this dataset

Rate of sleep recovery following arousals. A high value reflects slow recovery and suggests high central arousability (Hyperarousal state).Younes et al. 2021 (PubMed ID: 34156473)Younes and Hanley 2016 (PubMed ID: 26718786)Younes and Giannouli 2020 (PubMed ID: 31992415) Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Distribution of 30-s epochs, as a percent of total recording time in different Odds Ratio Product (ORP) deciles. Younes et al. 2022 (PubMed ID: 35272350) ORP is a continuous index of sleep depth and wake propensity. A value of 0 indicates very deep sleep; a value of 2.5 indicates full wakefulness. These values are used to construct the ORP histogram and ORP phenotype (:orp_type:). Search for all EEG variables within this dataset

Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset

Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset

Average power in all 3-s epochs in the indicated frequency range after excluding the highest 10% of values, which generally represent noise. Search for all EEG variables within this dataset