Quantitative Evaluation of Opposing Drives in Sleep-Wake Regulation Using EEG Measures

Sonali Shubhankar; Vasiile Bogdane; Mihaeela Luminita

Yazarlar

Sonali Shubhankar Automation and Applied Informatics Department, Polytechnic University of Timisoara, Timisoara, Romania
Vasiile Bogdane Engineering and Management of Hunedoara, Polytechnic University of Timisoara, Timisoara, Romania
Mihaeela Luminita Electrical Engineering and Industrial IT of Hunedoara, Polytechnic University of Timisoara, Timisoara, Romania

Özet

The opponent model of sleep-wake regulation proposes two opposing drives for sleep and wake. However, accurately measuring these drives in the electroencephalographic (EEG) signal has been challenging. In previous research, we identified that the first and second principal components of variation in the EEG power spectrum can serve as markers for the sleep and wake drives, respectively. This study aimed to validate and expand the measurement methodology by introducing a novel approach to uncover differences in the EEG signatures of these drives. New single EEG measures were calculated from recorded waking and sleep EEG signals of 100 participants, encompassing night sleep, multiple naps, and sleep deprivation. These measures captured differences between distinct sleep-wake sub-states by analyzing the differences between pairs of EEG spectra. Two typical patterns emerged as spectral EEG signatures of the sleep and wake drives. Principal component analysis of the calculated single measures yielded the two largest components representing these opposing drives. The time courses of scores on these components closely resembled the time courses of scores on principal components of variation in the EEG power spectrum. The findings demonstrate that this methodology enables quantitative evaluations and model-based simulations of the regulatory processes underlying normal and abnormal sleep-wake alternations.

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