Real-Time Electroencephalography-Guided Binaural Beat Audio Enhances Relaxation and Cognitive Performance: A Randomized, Double-Blind, Sham-Controlled Repeated-Measures Crossover Trial
Background/Objectives: Binaural beat audio has gained popularity as a non-invasive tool to promote relaxation and enhance cognitive performance, though empirical support has been inconsistent. We developed a novel algorithm integrating real-time electroencephalography (EEG) feedback to dynamically tailor binaural beats to induce relaxed brain states. This study aimed to examine the efficacy and feasibility of this algorithm in a clinical trial. Methods: In a randomized, double-blinded, sham-controlled crossover trial, 25 healthy adults completed two 30 min sessions (EEG-guided intervention versus sham). EEG (Fp1) was recorded using a consumer-grade single-electrode headset, with auditory stimulation adjusted in real time based on EEG data. Outcomes included EEG frequency profiles, stop signal reaction time (SSRT), and novelty encoding task performance. Results: The intervention rapidly reduced dominant EEG frequency in all participants, with 100% achieving <8 Hz and 96% achieving <4 Hz within median 7.4 and 9.0 min, respectively. Compared to the sham, the intervention was associated with an faster novelty encoding reaction time (p = 0.039, dz = −0.225) and trends towards improved SSRT (p = 0.098, dz = −0.209), increased boundary separation in stop trials (p = 0.065, dz = 0.350), and improved inhibitory drift rate (p = 0.067, dz = 0.452) within the limits of the exploratory nature of these findings. Twenty-four (96%) participants reached a target level of <4 Hz with the intervention, while none reached this level with the sham. Conclusions: Real-time EEG-guided binaural beats may rapidly induce low-frequency brain states while potentially preserving or enhancing aspects of executive function. These findings support the feasibility of personalized, closed-loop auditory entrainment for promoting “relaxed alertness.” The results are preliminary and hypothesis-generating, warranting larger, multi-channel EEG studies in ecologically valid contexts.
Authors
- Chinnadurai Mani (ORCID: https://orcid.org/0009-0006-0980-6555)
- Chathurika S. Dhanasekara (ORCID: https://orcid.org/0000-0002-2661-062X)
- Chanaka Kahathuduwa (ORCID: https://orcid.org/0000-0003-2049-4901)
- Jessica Blume (ORCID: https://orcid.org/0000-0002-4118-5780)
Institutions
- Texas Tech University (US)
- Lubbock Christian University (US)
- Texas Tech University Health Sciences Center (US)
Publication Details
- Journal
- Physiologia
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3390/physiologia5040044
- Primary Topic
- Music Therapy and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00