top of page

Can Music Therapy Heal the Brain? EEG Insights into Sound’s Cognitive Impact

In a world where stress is ever-present, the idea that music therapy—a non-pharmaceutical, non-invasive intervention—could influence how our brain functions is gaining scientific traction. But what does the data actually say?


A recent study published in Science Direct offers compelling evidence. Using high-resolution EEG recordings, researchers investigated how instrumental music and singing bowl soundscapes impact brain activity associated with stress. The study highlights music therapy’s potential not only to soothe the mind but to reshape measurable patterns of brain function.


Pianist and composer Rafel Plana, playing the piano wearing an Enobio system.

Can EEG Help Us Understand the Science Behind Music Therapy?

In the study, participants were exposed to three auditory conditions: instrumental music, singing bowl sounds, and silence. Throughout each session, their brain activity was recorded using the Enobio 32-channel wireless EEG system. The goal? To better understand how different sound-based interventions—specifically music therapy—affect cognitive states linked to stress.


Rather than relying on traditional EEG markers alone (like alpha or theta band power), the researchers incorporated both relative band power and entropy features. These combined metrics offer a richer look into how the brain processes and organizes auditory input.


What Did EEG Reveal About Music Therapy and Stress?

The results were striking. Both instrumental music and singing bowl exposure significantly altered EEG features compared to silence:


  • Alpha and theta power increased, which is commonly associated with relaxation and introspection, key goals of many music therapy programs.

  • Entropy decreased, especially during singing bowl sessions, pointing to lower cognitive load and greater neural stability.


Silence, on the other hand, triggered only minor changes in brain activity, reinforcing the idea that sound itself, and not just rest, is what drives these neurophysiological effects.


These findings provide fresh validation for music therapy as a scientifically measurable method for influencing brain states. With tools like Enobio, researchers can now observe these shifts in real time, offering new precision in how music-based interventions are studied and delivered.


Why This Matters for EEG Research and Clinical Applications

This study resonates with a growing movement in neuroscience and mental health: the use of music therapy to address stress, anxiety, and cognitive fatigue. Its implications are far-reaching:


  • For clinicians, it supports developing evidence-based, sound therapy protocols guided by EEG biomarkers.

  • For researchers and professors, it adds to the empirical foundation for integrating music therapy into cognitive neuroscience education and investigation.

  • For neuromarketers, it opens new conversations about how ambient soundscapes can modulate emotional response and attention.


At Neuroelectrics, we see this as further proof that EEG is more than a diagnostic tool—it’s a gateway to decoding how the brain and environment interact. And music therapy stands out as a powerful, natural interface in that relationship.


Music Therapy, Neuroscience, and the Future of Brain Health

This study is part of a broader shift in how we understand environmental influence on the brain. As EEG technology becomes more accessible, like our Enobio platform, we can measure and refine interventions like music therapy in increasingly personalized, real-time ways.


In a healthcare landscape often reliant on pharmaceuticals, the notion that we might “listen to ourselves well” through music therapy is no longer just poetic—it’s scientifically plausible.


References:

  • Rashmi, C. R., & Shantala, C. P. (2024). Evaluating deep learning with different feature scaling techniques for EEG-based music entrainment brain-computer interface. Pattern Recognition in Medical Engineering, 2, 100448. https://doi.org/10.1016/j.prime.2024.100448


bottom of page