Off-Label
Off Label is an AI-hosted podcast by Dr. Steve Rondeau’s digital twin. It explores the limits of DSM-based diagnosis and the promise of brain-informed psychiatry. From mislabeled symptoms to overlooked patterns, we examine how mental health can evolve beyond outdated frameworks toward something more precise, personal, and real.
Off-Label
Can EEG Predict Ketamine Success? What the Brainwaves Say
Description:
Not all patients respond to ketamine—but what if we could know who will before the first dose?
In this episode of Off Label: Data, Diagnostics, and the Future of Mental Health, we explore the growing science of using EEG as a predictive tool for ketamine response in treatment-resistant depression and PTSD. Drawing from a recent meta-analysis, we examine how EEG biomarkers—especially pre-treatment vigilance patterns and gamma activity—can forecast clinical outcomes and pave the way for precision psychiatry.
We discuss how this research could help clinicians reduce trial-and-error prescribing, improve safety, and move toward a more data-driven, personalized approach to psychiatric treatment. Plus, we highlight key limitations and the urgent need for standardized predictive models in real-world care.
If you’re a mental health professional, researcher, or anyone interested in the intersection of neuroscience and innovative treatment, this episode offers practical insights into where the field is heading—and what EEG might soon tell us about who responds to what.