The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients. / Christensen, Julie Anja Engelhard; Munk, Emil Gammelmark Schreiner; Peppard, Paul E; Young, Terry; Mignot, Emmanuel; Sorensen, Helge Bjarrup Dissing; Jennum, Poul.

In: Sleep Medicine, Vol. 16, No. 12, 12.2015, p. 1516-27.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Christensen, JAE, Munk, EGS, Peppard, PE, Young, T, Mignot, E, Sorensen, HBD & Jennum, P 2015, 'The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients', Sleep Medicine, vol. 16, no. 12, pp. 1516-27. https://doi.org/10.1016/j.sleep.2015.09.005

APA

Christensen, J. A. E., Munk, E. G. S., Peppard, P. E., Young, T., Mignot, E., Sorensen, H. B. D., & Jennum, P. (2015). The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients. Sleep Medicine, 16(12), 1516-27. https://doi.org/10.1016/j.sleep.2015.09.005

Vancouver

Christensen JAE, Munk EGS, Peppard PE, Young T, Mignot E, Sorensen HBD et al. The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients. Sleep Medicine. 2015 Dec;16(12):1516-27. https://doi.org/10.1016/j.sleep.2015.09.005

Author

Christensen, Julie Anja Engelhard ; Munk, Emil Gammelmark Schreiner ; Peppard, Paul E ; Young, Terry ; Mignot, Emmanuel ; Sorensen, Helge Bjarrup Dissing ; Jennum, Poul. / The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients. In: Sleep Medicine. 2015 ; Vol. 16, No. 12. pp. 1516-27.

Bibtex

@article{4a17dd93acac4d2f94c0c7c7653b0457,
title = "The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients",
abstract = "OBJECTIVE: Manifestations of narcolepsy with cataplexy (NC) include disturbed nocturnal sleep - hereunder sleep-wake instability, decreased latency to rapid eye movement (REM) sleep, and dissociated REM sleep events. In this study, we characterized the electroencephalography (EEG) of various sleep stages in NC versus controls.METHODS: EEG power spectral density (PSD) was computed in 136 NC patients and 510 sex- and age-matched controls. Features reflecting differences in PSD curves were computed. A Lasso-regularized regression model was used to find an optimal feature subset, which was validated on 19 NC patients and 708 non-NC patients from a sleep clinic. Reproducible features were analyzed using receiver operating characteristic (ROC) curves.RESULTS: Thirteen features were selected based on the training dataset. Three were applicable in the validation dataset, indicating that NC patients show (1) increased alpha power in REM sleep, (2) decreased sigma power in wakefulness, and (3) decreased delta power in stage N1 versus wakefulness. Sensitivity of these features ranged from 4% to 10% with specificity around 98%, and it did not vary substantially with and without treatment.CONCLUSIONS: EEG spectral analysis of REM sleep, wake, and differences between N1 and wakefulness contain diagnostic features of NC. These traits may represent sleepiness and dissociated REM sleep in patients with NC. However, the features are not sufficient for differentiating NC from controls, and further analysis is needed to completely evaluate the diagnostic potential of these features.",
author = "Christensen, {Julie Anja Engelhard} and Munk, {Emil Gammelmark Schreiner} and Peppard, {Paul E} and Terry Young and Emmanuel Mignot and Sorensen, {Helge Bjarrup Dissing} and Poul Jennum",
note = "Copyright {\textcopyright} 2015 Elsevier B.V. All rights reserved.",
year = "2015",
month = dec,
doi = "10.1016/j.sleep.2015.09.005",
language = "English",
volume = "16",
pages = "1516--27",
journal = "Sleep Medicine",
issn = "1389-9457",
publisher = "Elsevier",
number = "12",

}

RIS

TY - JOUR

T1 - The diagnostic value of power spectra analysis of the sleep electroencephalography in narcoleptic patients

AU - Christensen, Julie Anja Engelhard

AU - Munk, Emil Gammelmark Schreiner

AU - Peppard, Paul E

AU - Young, Terry

AU - Mignot, Emmanuel

AU - Sorensen, Helge Bjarrup Dissing

AU - Jennum, Poul

N1 - Copyright © 2015 Elsevier B.V. All rights reserved.

PY - 2015/12

Y1 - 2015/12

N2 - OBJECTIVE: Manifestations of narcolepsy with cataplexy (NC) include disturbed nocturnal sleep - hereunder sleep-wake instability, decreased latency to rapid eye movement (REM) sleep, and dissociated REM sleep events. In this study, we characterized the electroencephalography (EEG) of various sleep stages in NC versus controls.METHODS: EEG power spectral density (PSD) was computed in 136 NC patients and 510 sex- and age-matched controls. Features reflecting differences in PSD curves were computed. A Lasso-regularized regression model was used to find an optimal feature subset, which was validated on 19 NC patients and 708 non-NC patients from a sleep clinic. Reproducible features were analyzed using receiver operating characteristic (ROC) curves.RESULTS: Thirteen features were selected based on the training dataset. Three were applicable in the validation dataset, indicating that NC patients show (1) increased alpha power in REM sleep, (2) decreased sigma power in wakefulness, and (3) decreased delta power in stage N1 versus wakefulness. Sensitivity of these features ranged from 4% to 10% with specificity around 98%, and it did not vary substantially with and without treatment.CONCLUSIONS: EEG spectral analysis of REM sleep, wake, and differences between N1 and wakefulness contain diagnostic features of NC. These traits may represent sleepiness and dissociated REM sleep in patients with NC. However, the features are not sufficient for differentiating NC from controls, and further analysis is needed to completely evaluate the diagnostic potential of these features.

AB - OBJECTIVE: Manifestations of narcolepsy with cataplexy (NC) include disturbed nocturnal sleep - hereunder sleep-wake instability, decreased latency to rapid eye movement (REM) sleep, and dissociated REM sleep events. In this study, we characterized the electroencephalography (EEG) of various sleep stages in NC versus controls.METHODS: EEG power spectral density (PSD) was computed in 136 NC patients and 510 sex- and age-matched controls. Features reflecting differences in PSD curves were computed. A Lasso-regularized regression model was used to find an optimal feature subset, which was validated on 19 NC patients and 708 non-NC patients from a sleep clinic. Reproducible features were analyzed using receiver operating characteristic (ROC) curves.RESULTS: Thirteen features were selected based on the training dataset. Three were applicable in the validation dataset, indicating that NC patients show (1) increased alpha power in REM sleep, (2) decreased sigma power in wakefulness, and (3) decreased delta power in stage N1 versus wakefulness. Sensitivity of these features ranged from 4% to 10% with specificity around 98%, and it did not vary substantially with and without treatment.CONCLUSIONS: EEG spectral analysis of REM sleep, wake, and differences between N1 and wakefulness contain diagnostic features of NC. These traits may represent sleepiness and dissociated REM sleep in patients with NC. However, the features are not sufficient for differentiating NC from controls, and further analysis is needed to completely evaluate the diagnostic potential of these features.

U2 - 10.1016/j.sleep.2015.09.005

DO - 10.1016/j.sleep.2015.09.005

M3 - Journal article

C2 - 26611950

VL - 16

SP - 1516

EP - 1527

JO - Sleep Medicine

JF - Sleep Medicine

SN - 1389-9457

IS - 12

ER -

ID: 162759014