Beats vs Brains: A Study on Binaural Beats.

What if a specific sound could boost your memory? I’m Ife, and my project explores Binaural Beats-an auditory illusion that triggers ‘brainwave entrainment’ to mold your brain’s state.

Building on my previous neurology research, I tested the two highest frequencies-Beta and Gamma-on 99 students across grades 5 to 9. Using a control group for comparison, students performed memory tests before and after listening to the audio.

My results showed that High Beta led to the most significant memory increase, clearly outperforming White Noise. While High Beta also beat Gamma, the statistical overlap suggests further study is needed there.

Beyond memory, Binaural Beats serve as powerful self-regulatory tools - lower beats for relaxation and higher beats for mental capacity. Thank you for visiting my project; I hope you enjoyed learning how we can literally tune our brains for success !

Purpose

The purpose of this project is to ascertain whether Beta or Gamma Binaural Beats can improve memory and aid students in retaining information.

Hypothesis

Whereas the resting brain predominately exhibits activity in the alpha frequency range, it is hypothesized that stimulation in the beta frequencies may allow for more efficient neural adaptation and processing.

Background Research

Binaural Beats are an auditory illusion created in the brain when the ear is exposed to two slightly mismatched frequencies. For example: The right ear could be presented with a tone of 350 Hz and the left ear with a tone of 360 Hz; the difference is 10 Hz, which the brain then mimics to enter that frequency range. This process is known as brainwave entrainment-the brain’s ability to match its inner frequencies to external stimuli.

Brainwave states and the corresponding qualities

Delta Beats (0.5-4 Hz): Deep Sleep

Theta Beats (4-8 Hz): Relaxation, REM sleep

Alpha Beats (8-14 Hz): Calmness, Focus

Beta Beats (14-30 Hz): Problem Solving

Gamma Beats (30-100 Hz): High-level cognitive processing

This project explores how Beta and Gamma binaural beats can specifically sharpen concentration in school-aged children. By identifying non-invasive, accessible tools to boost focus and reduce anxiety, this research offers a foundation for drug-free cognitive support. Ultimately, it aims to make the world a better place by providing students with a simple way to unlock their academic potential.

Background Research

Binaural Beats are an auditory illusion created in the brain when exposed to two slightly mismatched frequencies. The brain highlights the difference and temporarily molds the brainwaves to match the frequency difference. The brain is constantly in a state of neuron engagement which in turn creates brainwaves—the synchronization of electrical activity when multiple neurons fire together. This process is known as brainwave entrainment—the brain’s ability to match its inner brain frequencies to external stimuli. Binaural betas have been a focal point for research, mainly testing college students and the alpha ranges. The Institute for Psychological Research and Leiden Institute for Brain and Cognition, Leiden University Leiden, Netherlands tested how gamma and alpha beats would affect a group of college students in the context of divergent and convergent thinking. A similar study by the Department of Psychology, Faculty of Social Studies, Masaryk University, Czechia tested alpha and gamma beats on working memory capacity.

Materials

99 participants (grades 5-9)

9 Stereo headphones

1 Audio player

1 Assessment device

Procedure

Inform participants of the basics of the experiment.

Split participants into three groups—beta, gamma and control.

* Separate the individuals into groups of nine for easier control.

Give participants their headphones and personal devices.

Enter all websites needed. ( Human Benchmark, Mynoise)

Conduct a baseline number test.

Record all scores into a table for each group.

Play assigned audio from the mynoise website—15 minutes for everyone and the preset audio on the page.

Have the participants repeat the number test and record their scores afterwards

Optional: Interview the students afterward to get any more information.

Average the scores per class and across the groups to compare.

Independent Variable: Audio frequency.

Dependent Variable: Test scores.

Controlled Variable: Listening duration, Equipment, Test randomization.

Uncontrollable Variable: Environment, Individual memory capacity.

Analysis

The 99 participants were grouped by homeroom (e.g., 5A, 6B, 7A), with nine volunteers per class split equally across three conditions. Statistical analysis focused on "change scores," which were calculated by finding the difference between individual pre and post-test scores. For each condition, we calculated the mean change, standard deviation (SD), and standard error (SE) to determine the ratio between the average improvement and data spread. Because each class contained students from all three conditions, a paired t-test was used to determine significance and note if changes were crucial or occurred by chance. The resulting p-value determines whether the results support the hypothesis. Additionally, Cohen’s d measured effect size, conveying how large the data change was relative to the variation between numbers.

Results

The calculation began with the change scores. Since the groups started with different baselines, the change scores are the most important value. High beta had an average change score of +0.40 (improved on average) , Gamma had a change score of -0.07 (limited change) and White Noise had a change score of +0.005 (limited change). SD was also calculated to determine how spread apart the data was : Gamma- 0.59, Beta- 0.64, White Noise- 0.52. The SD is large compared to the average change score, which is why the SE is also needed to see if the results are real or just noise. SE: High Beta- 0.19, Gamma- 0.18, White Noise- 0.16. The overlap between the groups shows if the SE is significant or not. High Beta had the least overlap with still the most improvement. A t-test—which gives a p-value—was run against 3 pairs to see differences in any direction. Scientists often mark the cutoff at p<0.05 Gamma vs White noise equaled a p-value of 0.733 ( no meaningful difference), Gamma vs High Beta equaled a p-value of 0.079 ( it was close but over the cutoff threshold), High Beta vs White Noise equaled a p-value of 0.015. This means there is a 1.5% chance that the difference between High Beta and White Noise is just by random luck. P-value shows whether the effect is real but Cohen’s d conveys effect size. Cohen’s d can be calculated by dividing the mean difference of the groups over the standard deviation of those differences. High Beta and White Noise equaled a Cohen’s d value of 0.88. This shows that the High Beta group improved by almost a full standard deviation above White noise, making the effect both real and significant. High Beta vs Gamma had a value of Cohen’s d value of 0.59. High Beta outperformed Gamma slightly but there’s enough overlap that it could partly be due to chance. Gamma vs White Noise equated a Cohen’s d value of 0.11 , making it not significant, essentially the same.

Conclusion

The results indicate that the High Beta group experienced the most significant increase in performance. While High Beta showed a slight improvement over the Gamma group, the difference did not reach statistical significance. These findings are particularly noteworthy given that most existing research focuses on the Alpha-Gamma relationship; by highlighting the role of Beta waves, this study suggests a need to broaden the scope of future experiments. Furthermore, by focusing on school-aged children, this project addresses a specific demographic gap in current literature. Expanding this research could lead to novel, evidence-based study techniques for students and provide a framework for testing these effects across various age groups.

Real World Application.

Binaural beats are primarily used as a wellness and self regulatory tool to influence brainwaves for certain mental states. The low frequencies are often played to enhance relaxation and aid in sleeping. Delta waves are often used by individuals with insomnia or inconsistent sleep patterns while Delta and Theta frequencies are associated with deep relaxation and meditation. Alpha waves form the bridge between relaxation states and acute mental ability. Alpha waves are associated with reduced distractions leading to deep concentration. Beta and High Beta waves are linked to active and alert consciousness and are studied in relation to cognitive enhancement and certain neurological disorders. Gamma frequencies, the highest form of binaural beats, are associated with improved cognitive processing, mental performance and sensory perception. All these binaural beats link to different states of relaxed concentration and heightened alertness.

Further Research

To improve this project, increasing the sample size would determine if changes are more significant. Results suggest 13 classes are needed for 80% power, so expansion would yield better outcomes. Collaborating with professional labs could involve using EEG devices to monitor brainwaves in certified environments. Testing all five binaural beat types across wider age ranges would be insightful and interesting to note. Additionally, increasing exposure time could offer a new perspective.

Areas of Improvement

Ensuring silent environments for all participants.

Testing participants using a certified working memory assessment.

Thanks

Gratitude is extended to the several people who helped this idea become the project it is today. This project was a long and strenuous journey and everyone along the way helped in ways that are greatly appreciated. Thanks to Megan Walker, Graham Mann, Madison Greek and all volunteers of the project. Gratitude is also extended to the friends who built confidence and helped out with some areas of the project. Finally, sincere appreciation goes to the family members who provide daily encouragement to aim higher and pursue excellence.

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