https://www.selleckchem.com/products/DMXAA(ASA404).html OBJECTIVE Absence status epilepticus (ASE) is a form of non-convulsive status epilepticus characterized by ongoing or intermittent epileptic activity accompanied by behavioral and cognitive changes. Herein, we assessed high-frequency oscillations in the ripple band in patients with ASE and typical absence seizures. METHODS We enrolled five patients with ASE, 26 patients with childhood absence epilepsy (CAE), and 15 patients with juvenile absence epilepsy (JAE). We performed time-frequency analysis of electroencephalogram data for ictal absence seizures at each electrode to assess the high frequency activity (HFA) rate, peak frequency, and peak power. RESULTS The average HFA rates were 60.7%, 20.8%, and 12.9% in ASE, CAE, and JAE patients, respectively. The average peak frequencies were 126.4 Hz, 120.9 Hz, and 126.1 Hz in ASE, CAE, and JAE patients, respectively. The average peak power values were 2,388.8 μV2, 120.9 μV2, and 126.1 μV2 in ASE, CAE, and JAE patients, respectively, and all epilepsy groups exhibited frontal-dominant ripple distribution. CONCLUSION ASE patients presented higher power and frontal dominant ripples of absence seizure, compared to CAE and JAE patients. SIGNIFICANCE Future studies should utilize scalp-recorded ripples as a biomarker of absence epilepsy. This may aid in the development of novel treatment strategies for ASE. OBJECTIVE Significant interscorer variability is found in manual scoring of arousals in polysomnographic recordings (PSGs). We propose a fully automatic method, the Multimodal Arousal Detector (MAD), for detecting arousals. METHODS A deep neural network was trained on 2,889 PSGs to detect cortical arousals and wakefulness in 1-second intervals. Furthermore, the relationship between MAD-predicted labels on PSGs and next day mean sleep latency (MSL) on a multiple sleep latency test (MSLT), a reflection of daytime sleepiness, was analyzed in 1447 MSLT instances in 873 subj