Description:
qEEG has been called revolutionary—and ridiculed as pseudoscience. So which is it?
In this episode of Off Label: Data, Diagnostics, and the Future of Mental Health, Dr. Steve Rondeau dives into the high-stakes debate over quantitative EEG (qEEG), a brain-based diagnostic tool offering rich insights into neural function. But with so much controversy around its accuracy, interpretation, and clinical utility, the real question becomes: how do we know it’s real?
Enter AI.
We explore how artificial intelligence is being used to validate, refine, and standardize qEEG data—cutting through human bias, poor protocols, and outdated skepticism. This episode unpacks how machine learning helps distinguish signal from noise, reduce false positives, and uncover patterns that manual review often misses. But we don’t stop there—we also tackle the ethical concerns and limitations of letting algorithms define mental health norms.
If you’re a clinician curious about qEEG, a skeptic wondering whether it’s all hype, or an advocate for more objective psychiatry, this episode asks the question that really matters: can AI bring order to the chaos of brainwave data?
