Sep 29, 2026 · 1h 11m
qEEG turns brain health into a measurable, personalized practice
203. Sat Randhawa: Can You Train Your Brain? QEEG & Neurofeedback
The conversation examines whether brain mapping and neurofeedback can replace guesswork with clinician-guided, individualized approaches to attention, stress, aging, and performance.
- 1qEEG measures brain activity and connectivity, complementing structural imaging while revealing individual patterns linked to cognition and behavior.
- 2Neurofeedback trains people to recognize and shift brain states, but dosage and interpretation require personalization rather than one-size-fits-all protocols.
- 3Objective before-and-after data can test therapies for a specific person, while AI should help clinicians identify patterns without replacing judgment.
Don't miss
Sat Randhawa explains how neurofeedback can teach people to shift between calm, focused, and activated states using real-time feedback.
The brief
Darshan Shah and Sat Randhawa frame qEEG as a way to measure electrical activity and connectivity, adding functional detail to structural tools such as MRI.
The central argument is against indiscriminate wellness stacking: map an individual’s patterns, choose an intervention, then measure whether it changed anything meaningful.
Neurofeedback uses real-time visual or auditory feedback to help people practice calm, focus, or activation, with the goal of carrying those skills into daily pressure.
The discussion extends from ADHD and cognitive aging to athletes, psychedelics, hyperbaric oxygen, and transcranial magnetic stimulation, while repeatedly stressing clinician-guided care.
The episode’s clearest takeaway is methodological: brain health becomes more credible when interventions are personalized, reassessed, and discarded when objective data show they are ineffective.
Featuring
Mayo ClinicListen to the full episode and explore every guest, topic, and moment on PodLume.