This episode continues the conversation with Kimaya Lakamas, a neuroscientist, singer-songwriter, and doctoral student at the MIT Media Lab, about the challenge of translating music research into real-world therapeutic use. They explore what early research suggests about music’s short-term effects on stress and anxiety, why emotional regulation through music must remain deeply individualized, and how clinicians might eventually use music more intentionally without reducing it to a one-size-fits-all prescription.

The conversation then expands into the evolving world of AI and music. Kimaya shares research comparing human-composed and AI-generated music, including a surprising tension between what listeners prefer and what actually feels more emotionally effective. As the episode unfolds, it becomes a wider reflection on human creativity, ethics, live performance, and how technology might support artists without replacing what makes music feel human in the first place.

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This podcast is produced by the Northeast Region Biofeedback Society. NRBS is an organization for professionals, students, and everyone interested in neurofeedback, biofeedback, and whole body health.

Learn more about Dr. Saul Rosenthal at advancedbehavioral.care.

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