Discriminating rapid eye movement sleep from wakefulness by analyzing high frequencies from single-channel EEG recordings in mice

Abstract

Rapid eye movement sleep (REMS) is characterized by the appearance of fast, desynchronized rhythms in the cortical electroencephalogram (EEG), similar to wakefulness. The low electromyogram (EMG) amplitude during REMS distinguishes it from wakefulness; therefore, recording EMG signal seems to be imperative for discriminating between the two states. The present study evaluated the high frequency components of the EEG signal from mice (80–500 Hz) to support REMS detection during sleep scoring without an EMG signal and found a strong positive correlation between waking and the average power of 80–120 Hz, 120–200 Hz, 200–350 Hz and 350–500 Hz. A highly negative correlation was observed with REMS. Furthermore, our machine learning approach demonstrated that simple EEG time-series features are enough to discriminate REMS from wakefulness with sensitivity of roughly 98 percent and specificity of around 92 percent. Interestingly, assessing only the higher frequency bands (200–350 Hz as well as 350–500 Hz) gives significantly greater predictive power than assessing only the lower end of the EEG frequency spectrum. This paper proposes an approach that can detect subtle changes in REMS reliably, and future unsupervised sleep-scoring approaches could greatly benefit from it.

Improving Function and Quality of Life in Patients with Chronic Neck Pain, Tension-Type Headache, and Forward Head Posture: The Role of Eyeball Exercise and Cervical Stabilization Programs

“…Rahimi et al [ 32 ] reported that a 12-week intervention of eyeball exercise and diaphragm exercise had positive effects on the HIT-6 scores via improvement of sleep quality in 22 patients with TTH (p<.05). The HIT-6 is a tool to assess the impact of headache on normal daily activities [ 33 ].…”

Isoflurane anesthesia and sleep deprivation trigger delayed and selective sleep alterations

“…Each mouse was connected to a tethered recording system including headstage/recording cable (1× amplification, custom made, npi electronics GmbH, Germany) along with a commutator (model SL-20, Dragonfly R&D Inc., USA), mounted on a weight-neutral swivel system (custom made, Streicher M., Innsbruck, Austria) facilitating the unrestricted movement of the animal 67 . The EEG and EMG signals were independently amplified (1000×) and band-pass filtered for frequencies between 0.1 and 100 Hz along with a notch filter at 50 Hz (DPA-2FL-Differential Amplifier, npi electronic, Germany).…”

The role of subicular VIP-expressing interneurons on seizure dynamics in the intrahippocampal kainic acid model of temporal lobe epilepsy

“…We employed our previously published algorithm to automatically differentiate between sleep and wakefulness in single-channel EEG recordings by utilizing high-frequency oscillations (> 200 Hz). This approach achieved an accuracy of over 90 percent (45). Subsequently, we employed the SCOPRISM algorithm (46) to differentiate between rapid eye movement sleep (REMS) and non-rapid eye movement sleep (NREMS).…”