Julie Anja Engelhard Christensen1, Emil Gammelmark Schreiner Munk2, Paul E Peppard3, Terry Young3, Emmanuel Mignot4, Helge Bjarrup Dissing Sorensen5, Poul Jennum6. 1. Department of Electrical Engineering, Technical University of Denmark, KongensLyngby, Denmark; Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA. 2. Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA. 3. University of Wisconsin, School of Medicine and Public Health, Health Sciences Learning Center, Madison, WI, USA. 4. Stanford Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Science, Stanford University, Palo Alto, CA, USA. Electronic address: mignot@stanford.edu. 5. Department of Electrical Engineering, Technical University of Denmark, KongensLyngby, Denmark. 6. Danish Center for Sleep Medicine, Department of Clinical Neurophysiology, Glostrup Hospital, Glostrup, Denmark; Center for Healthy Aging, University of Copenhagen, Copenhagen, Denmark.
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.
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.
Authors: Cecilia G Diniz Behn; Elizabeth B Klerman; Takatoshi Mochizuki; Shih-Chieh Lin; Thomas E Scammell Journal: Sleep Date: 2010-03 Impact factor: 5.849
Authors: Joseph Cheung; Chad Ruoff; Hyatt Moore; Katharine A Hagerman; Jennifer Perez; Sarada Sakamuri; Simon C Warby; Emmanuel Mignot; John Day; Jacinda Sampson Journal: J Clin Sleep Med Date: 2018-02-15 Impact factor: 4.062
Authors: Eric Murillo-Rodríguez; Vincenzo Di Marzo; Sergio Machado; Nuno B Rocha; André B Veras; Geraldo A M Neto; Henning Budde; Oscar Arias-Carrión; Gloria Arankowsky-Sandoval Journal: Front Mol Neurosci Date: 2017-05-30 Impact factor: 5.639