Host Lucien Graves examines USC research where machine learning decoded hidden brain signals for real-time mood tracking. The episode explores how somatic symptom disorder reveals the brain's amplification of pain signals and discusses neuroimaging advances achieving 80% accuracy in decoding visual attention.

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This content was created in partnership and with the help of Artificial Intelligence AI.