[Event-related potentials and performance errors during falling asleep]

Area of Science:

• Neuroscience
• Sleep Research
• Cognitive Psychology

Context:

• Studying brain activity during sleep onset is challenging due to individual differences in event-related potentials (ERPs).
• Traditional group-averaged ERP analysis has limitations in capturing individual sleep-related brain changes.
• Auditory stimuli are effective for probing cognitive processes during falling asleep and sleep stages.

Purpose:

• To identify specific auditory event-related potential (ERP) parameters for quantitatively assessing brain functional states during performance errors linked to decreasing wakefulness and sleep onset.
• To overcome the limitations of interindividual variability in ERPs by analyzing selectively summed ERP components for individual subjects.
• To investigate changes in ERP components during a monotonous psychomotor task associated with falling asleep.

Summary:

• Auditory ERPs were recorded in 41 healthy volunteers performing a monotonous psychomotor task designed to induce sleepiness.
• Analysis focused on 14 subjects with sufficient sleep onset episodes, comparing ERPs during correct vs. erroneous task performance.
• A decrease in wakefulness significantly increased the amplitude of the N1-P2-N2 vertex complex, with the N2 component showing the most significant changes, correlating with the first stage of sleep.

Impact:

• This research provides a method for quantitatively measuring brain functional states during the transition to sleep using individual ERP analysis.
• Identified ERP parameters, especially the N2 component, can serve as objective biomarkers for sleep onset and decreasing levels of wakefulness.
• The findings contribute to a better understanding of the neurophysiological processes occurring during the initial stages of sleep.