A resting-state EEG dataset for sleep deprivation.

Area of Science:

• Neuroscience
• Cognitive Psychology
• Sleep Science

Background:

• Sleep deprivation (SD) affects cognitive functions like mood and alertness.
• Resting-state electroencephalogram (EEG) can capture neural correlates of these effects.
• Understanding individual differences in sleep quality and traits may modulate SD impacts.

Purpose of the Study:

• To present a novel eyes-open resting-state EEG dataset.
• To investigate the effects of SD on mood, alertness, and EEG.
• To explore how individual sleep quality and traits influence SD responses.

Main Methods:

• Collected eyes-open resting-state EEG data from 71 participants across normal sleep and SD sessions.
• Assessed alertness using the Psychomotor Vigilance Task (PVT).
• Measured mood and sleepiness with the Positive and Negative Affect Scale (PANAS) and Stanford Sleepiness Scale (SSS), respectively. Assessed sleep quality and aggression traits using the Pittsburgh Sleep Quality Index (PSQI) and Buss-Perry Aggression Questionnaire (BPAQ).

Main Results:

• The dataset includes EEG recordings, cognitive performance data, and psychological assessments.
• This data allows for the analysis of SD's impact on brain activity and behavior.
• Individual differences in sleep quality and aggression traits were also recorded.

Conclusions:

• The presented dataset provides a valuable resource for studying sleep deprivation.
• It facilitates open research into EEG measurements related to SD.
• This data can advance our understanding of the neural and cognitive consequences of sleep loss.