Intra‐individual stability of NREM sleep quantitative EEG measures in obstructive sleep apnea
Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea–hypopnea indices. Quantitative analysis of these data (quantitative electroencephalogram) may provide trait‐like information to predict patient vulne...
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Published in | Journal of sleep research Vol. 28; no. 6; pp. e12838 - n/a |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
01.12.2019
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Abstract | Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea–hypopnea indices. Quantitative analysis of these data (quantitative electroencephalogram) may provide trait‐like information to predict patient vulnerability to sleepiness. Measurements of trait‐like characteristics need to have high test–retest reliability. We aimed to investigate the intra‐individual stability of slow‐wave (delta power) and spindle frequency (sigma power) activity during non‐rapid eye movement sleep in patients with obstructive sleep apnea. We recorded sleep electroencephalograms during two overnight polysomnographic recordings in 61 patients with obstructive sleep apnea (median days between studies 47, inter‐quartile range 53). Electroencephalograms recorded at C3‐M2 derivation were quantitatively analysed using power spectral analysis following artefact removal. Relative delta (0.5–4.5 Hz) and sigma (12–15 Hz) power during non‐rapid eye movement sleep were calculated. Intra‐class correlation coefficients and Bland–Altman plots were used to assess agreement between nights. Intra‐class correlation coefficients demonstrated good‐to‐excellent agreement in the delta and sigma frequencies between nights (intra‐class correlation coefficients: 0.84, 0.89, respectively). Bland–Altman analysis of delta power showed a mean difference close to zero (−0.4, 95% limits of agreement −9.4, 8.7) and no heteroscedasticity with increasing power. Sigma power demonstrated heteroscedasticity, with reduced stability as sigma power increased. The mean difference of sigma power between nights was close to zero (0.1, 95% limits −1.6, 1.8). We have demonstrated the stability of slow‐wave and spindle frequency electroencephalograms during non‐rapid eye movement sleep within patients with obstructive sleep apnea. The electroencephalogram profile during non‐rapid eye movement sleep may be a useful biomarker for predicting vulnerability to daytime impairment in obstructive sleep apnea and responsiveness to treatment. |
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AbstractList | Abstract
Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea–hypopnea indices. Quantitative analysis of these data (
quantitative electroencephalogram
) may provide trait‐like information to predict patient vulnerability to sleepiness. Measurements of trait‐like characteristics need to have high test–retest reliability. We aimed to investigate the intra‐individual stability of slow‐wave (delta power) and spindle frequency (sigma power) activity during non‐rapid eye movement sleep in patients with obstructive sleep apnea. We recorded sleep electroencephalograms during two overnight polysomnographic recordings in 61 patients with obstructive sleep apnea (median days between studies 47, inter‐quartile range 53). Electroencephalograms recorded at C3‐M2 derivation were quantitatively analysed using power spectral analysis following artefact removal. Relative delta (0.5–4.5 Hz) and sigma (12–15 Hz) power during non‐rapid eye movement sleep were calculated. Intra‐class correlation coefficients and Bland–Altman plots were used to assess agreement between nights.
Intra‐class correlation coefficients
demonstrated good‐to‐excellent agreement in the delta and sigma frequencies between nights (intra‐class correlation coefficients: 0.84, 0.89, respectively). Bland–Altman analysis of delta power showed a mean difference close to zero (−0.4, 95% limits of agreement −9.4, 8.7) and no heteroscedasticity with increasing power. Sigma power demonstrated heteroscedasticity, with reduced stability as sigma power increased. The mean difference of sigma power between nights was close to zero (0.1, 95% limits −1.6, 1.8). We have demonstrated the stability of slow‐wave and spindle frequency electroencephalograms during non‐rapid eye movement sleep within patients with obstructive sleep apnea. The electroencephalogram profile during non‐rapid eye movement sleep may be a useful biomarker for predicting vulnerability to daytime impairment in obstructive sleep apnea and responsiveness to treatment. Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea-hypopnea indices. Quantitative analysis of these data (quantitative electroencephalogram) may provide trait-like information to predict patient vulnerability to sleepiness. Measurements of trait-like characteristics need to have high test-retest reliability. We aimed to investigate the intra-individual stability of slow-wave (delta power) and spindle frequency (sigma power) activity during non-rapid eye movement sleep in patients with obstructive sleep apnea. We recorded sleep electroencephalograms during two overnight polysomnographic recordings in 61 patients with obstructive sleep apnea (median days between studies 47, inter-quartile range 53). Electroencephalograms recorded at C3-M2 derivation were quantitatively analysed using power spectral analysis following artefact removal. Relative delta (0.5-4.5 Hz) and sigma (12-15 Hz) power during non-rapid eye movement sleep were calculated. Intra-class correlation coefficients and Bland-Altman plots were used to assess agreement between nights. Intra-class correlation coefficients demonstrated good-to-excellent agreement in the delta and sigma frequencies between nights (intra-class correlation coefficients: 0.84, 0.89, respectively). Bland-Altman analysis of delta power showed a mean difference close to zero (-0.4, 95% limits of agreement -9.4, 8.7) and no heteroscedasticity with increasing power. Sigma power demonstrated heteroscedasticity, with reduced stability as sigma power increased. The mean difference of sigma power between nights was close to zero (0.1, 95% limits -1.6, 1.8). We have demonstrated the stability of slow-wave and spindle frequency electroencephalograms during non-rapid eye movement sleep within patients with obstructive sleep apnea. The electroencephalogram profile during non-rapid eye movement sleep may be a useful biomarker for predicting vulnerability to daytime impairment in obstructive sleep apnea and responsiveness to treatment. Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea–hypopnea indices. Quantitative analysis of these data (quantitative electroencephalogram) may provide trait‐like information to predict patient vulnerability to sleepiness. Measurements of trait‐like characteristics need to have high test–retest reliability. We aimed to investigate the intra‐individual stability of slow‐wave (delta power) and spindle frequency (sigma power) activity during non‐rapid eye movement sleep in patients with obstructive sleep apnea. We recorded sleep electroencephalograms during two overnight polysomnographic recordings in 61 patients with obstructive sleep apnea (median days between studies 47, inter‐quartile range 53). Electroencephalograms recorded at C3‐M2 derivation were quantitatively analysed using power spectral analysis following artefact removal. Relative delta (0.5–4.5 Hz) and sigma (12–15 Hz) power during non‐rapid eye movement sleep were calculated. Intra‐class correlation coefficients and Bland–Altman plots were used to assess agreement between nights. Intra‐class correlation coefficients demonstrated good‐to‐excellent agreement in the delta and sigma frequencies between nights (intra‐class correlation coefficients: 0.84, 0.89, respectively). Bland–Altman analysis of delta power showed a mean difference close to zero (−0.4, 95% limits of agreement −9.4, 8.7) and no heteroscedasticity with increasing power. Sigma power demonstrated heteroscedasticity, with reduced stability as sigma power increased. The mean difference of sigma power between nights was close to zero (0.1, 95% limits −1.6, 1.8). We have demonstrated the stability of slow‐wave and spindle frequency electroencephalograms during non‐rapid eye movement sleep within patients with obstructive sleep apnea. The electroencephalogram profile during non‐rapid eye movement sleep may be a useful biomarker for predicting vulnerability to daytime impairment in obstructive sleep apnea and responsiveness to treatment. |
Author | Mullins, Anna E. Wong, Keith K. H. Poon, Joseph J. Y. D'Rozario, Angela L. Cho, Garry Grunstein, Ronald R. Kim, Jong W. Chapman, Julia L. Yee, Brendon J. Marshall, Nathaniel S. |
Author_xml | – sequence: 1 givenname: Joseph J. Y. surname: Poon fullname: Poon, Joseph J. Y. organization: University of Sydney – sequence: 2 givenname: Julia L. orcidid: 0000-0001-5512-827X surname: Chapman fullname: Chapman, Julia L. email: Julia.chapman@sydney.edu.au organization: Sydney Local Health District – sequence: 3 givenname: Keith K. H. orcidid: 0000-0001-5191-5233 surname: Wong fullname: Wong, Keith K. H. organization: Royal Prince Alfred Hospital – sequence: 4 givenname: Anna E. orcidid: 0000-0002-5143-6977 surname: Mullins fullname: Mullins, Anna E. organization: University of Sydney Nursing School – sequence: 5 givenname: Garry surname: Cho fullname: Cho, Garry organization: University of Sydney – sequence: 6 givenname: Jong W. surname: Kim fullname: Kim, Jong W. organization: Inje University, Inje‐ro 197 – sequence: 7 givenname: Brendon J. surname: Yee fullname: Yee, Brendon J. organization: Royal Prince Alfred Hospital – sequence: 8 givenname: Ronald R. surname: Grunstein fullname: Grunstein, Ronald R. organization: Royal Prince Alfred Hospital – sequence: 9 givenname: Nathaniel S. orcidid: 0000-0002-9014-1397 surname: Marshall fullname: Marshall, Nathaniel S. organization: University of Sydney Nursing School – sequence: 10 givenname: Angela L. orcidid: 0000-0001-8564-796X surname: D'Rozario fullname: D'Rozario, Angela L. organization: University of Sydney |
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CitedBy_id | crossref_primary_10_1016_j_knosys_2021_106890 crossref_primary_10_1111_jsr_14281 crossref_primary_10_1152_jn_00364_2021 crossref_primary_10_5664_jcsm_9934 crossref_primary_10_1016_j_ohx_2024_e00553 crossref_primary_10_1093_sleep_zsac013 crossref_primary_10_3389_fpsyt_2022_864393 crossref_primary_10_1093_sleep_zsad087 crossref_primary_10_1016_j_nbd_2020_105054 crossref_primary_10_2147_NSS_S322426 crossref_primary_10_1111_jsr_13831 |
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Snippet | Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea–hypopnea... Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate apnea-hypopnea... Abstract Electroencephalography is collected routinely during clinical polysomnography, but is often utilised to simply determine sleep time to calculate... |
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StartPage | e12838 |
SubjectTerms | Adult Aged agreement Bland–Altman analysis electroencephalography Electroencephalography - methods Electroencephalography - standards Female Humans Individuality Male Middle Aged obstructive sleep apnea Polysomnography - methods Polysomnography - standards power spectral analysis Reproducibility of Results Sleep Apnea, Obstructive - diagnosis Sleep Apnea, Obstructive - physiopathology Sleep Stages - physiology test–retest reliability Wakefulness - physiology |
Title | Intra‐individual stability of NREM sleep quantitative EEG measures in obstructive sleep apnea |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjsr.12838 https://www.ncbi.nlm.nih.gov/pubmed/30821056 https://search.proquest.com/docview/2187522639 |
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