Sleep modulation by binaural beats and its relation to error-aware response inhibition
摘要
Sleep is a fundamental physiological process that is essential for overall health and is a multifaceted neurophysiological phenomenon that exerts control over various domains, cognitive abilities, particularly in response inhibition. This study examined the effects of binaural beats (BB) on sleep parameters and their influence on response inhibition (RI). The primary aim was to determine whether BB intervention improves sleep quality and enhances RI, focusing on error awareness within a modified Go/No-Go paradigm.
MethodsThe study used a within-subject study design, with a sample of 15 participants (age 28.37 ± 2.06 years). Each participant underwent four nights consisting of an adaptation night (T0), a baseline night (pre-intervention without BB) (T1), control (T2) and a post-intervention night (after two weeks of BB intervention) (T3). Sleep was analyzed using polysomnography on T1, T2, and T3, where the T2 and T3 nights were counter-balanced across the participants. The RI was measured using the Go/NoGo task, programmed in PsychoPy (version 3.0.2). The task was designed to allow us to study the dynamic RI using mouse tracking, thereby differentiating between aware and unaware errors.
ResultsCompared to baseline and control conditions, BB intervention resulted in significant improvements in objective sleep quality in terms of increased sleep efficiency and marginal reductions in sleep latency, suggesting more consolidated sleep. In contrast, subjective sleep quality measures did not show corresponding improvements. The cognitive performance, participants exhibited longer reaction times and a marginal decrease in unaware errors following BB intervention, implying improved inhibitory control without generalized performance enhancements.
ConclusionThese findings support the potential of BB as a non-invasive and accessible tool to mitigate cognitive deficits associated with sleep disturbances. Future research employing larger samples and neurophysiological methods, such as EEG source localization, is warranted to elucidate the underlying neural mechanisms and optimize stimulation parameters for clinical and cognitive applications