Acid For Squares Podcast Guest Dr. Andrew Hill, a leading neuroscientist, reveals how he uses a revolutionary technology called neurofeedback to help patients overcome a wide range of conditions, including ADHD, depression, anxiety, epilepsy, PTSD, autism, and even schizophrenia. By retraining brainwaves, he’s witnessed life-changing recoveries that defy conventional treatment—and are transforming the future of medicine. Watch the full episode on All Podcast Platforms. #shorts
Episode Summary
I joined the team at ACID FOR SQUARES to talk about what I actually see when I train brains. This conversation originally aired on that show, and you can watch the original conversation. What follows is drawn from my own observations as a cognitive neuroscientist and brain-training coach, across more than 25,000 brain maps read over my years at Peak Brain Institute.
What Is Neurofeedback Actually Doing?
Neurofeedback is operant conditioning applied to your own electrical activity. We measure your EEG in real time and feed it back to you through a game, a video, or sound. When your brain produces the frequency pattern we want, the feedback rewards it. When activity drifts toward an unwanted pattern, the feedback dims or pauses.
This runs below conscious awareness. You are not steering the feedback with willpower. Your brain notices, over many repetitions, that one configuration gets reinforced and another does not, and it shifts its baseline toward the reinforced state. If you want the mechanics in depth, I cover them in Is Neurofeedback Legitimate? A Research Overview and on the neurofeedback topic page.
Why Treat Most Conditions as Regulatory Problems?
Most of what we train is a regulatory problem. The brain has resources, and those resources are stuck in a configuration that no longer serves the person.
When you put someone in front of their own brain map, the conversation stops being about a diagnosis and becomes about brain resources. That shift in perspective is itself useful. A diagnosis is a label that gets applied to you. A resource profile is something you can read, understand, and train. I work through this approach in Biohacking with EEG Phenotypes and the QEEG brain mapping guide.
Where Does Anxiety Live in the Brain?
Anxiety is a good example of the regulatory frame. Four or five brain resources generate the experience we call anxiety, and they are often firing together.
Frontal alpha asymmetry is one piece. The balance of alpha power (roughly 8 to 12 Hz) between left and right frontal cortex tracks approach and withdrawal motivation (Davidson, 2004). Right frontal activation biases the system toward threat scanning and avoidance. The amygdala and the broader limbic alarm system contribute another piece. Low sensorimotor rhythm (SMR, around 12 to 15 Hz over the sensorimotor strip) leaves the body restless and over-aroused. When those resources are over-allocated to vigilance, you get the racing thoughts, the 3am catastrophizing, the chest-tight feeling that something is wrong.
The symptoms are not imagined, and they are not a sign of weakness. The circuits are doing exactly what an over-recruited threat-detection system does, and the research shows these patterns can be retrained. I go deeper on the targets and protocols in Biohacking Anxiety, Neurofeedback for Anxiety: What the Research Shows, and Decoding Alpha Waves.
What Have You Actually Seen?
People ask me what neurofeedback can address, and the honest answer is a wide range. I want to be clear about evidence strength as I go, because the reports vary from well-supported to rare observation. I am a coach and a scientist, not a clinician, so what I can tell you is what the research shows and what I have observed in the brain-training work, not a clinical claim about any one person.
Alcohol cravings. I have worked with people carrying long-standing drinking patterns, who could never stop and could never fall asleep without alcohol. Some, weeks into training, describe cravings dropping off, the shakiness settling, and sleep returning. This is observation rather than controlled evidence, and the regulatory frame offers an interpretation: the drinking was an attempt to quiet an under-regulated arousal system, and training the system directly reduced the pull. There is also an older controlled literature on alpha-theta protocols and alcohol-use outcomes (Peniston & Kulkosky, 1989).
OCD. Showing someone their own EEG pattern on the map, and explaining how the cortico-striatal loop drives the repetition, gives them a handle on it. Understanding the mechanism is part of the leverage. I break the circuit down in Biohacking OCD.
Autism. I have observed language appear in nonverbal autistic kids after training. This is uncommon and I do not promise it. I report it because I have watched it happen.
Schizophrenia. I have seen this worked with over a couple of years. It takes longer than most protocols, and the work is slow, but people describe the regulatory changes holding.
Coma. I have seen reports of people coming out of comatose states with neurofeedback. These are rare cases, and I name them as rare.
These outcomes are not uniform and I would not present them as guaranteed. They sit on a spectrum from well-established (ADHD, anxiety, the SMR and alpha protocols) to occasional observation (the autism and coma cases). The common thread is regulatory: the brain was stuck, and the training gave it the data to shift.
Why Does Seeing Your Own Brain Help?
The act of looking at your brain flips the perspective. You stop carrying a diagnosis as an identity and start reading a profile you can change. With OCD especially, knowing how the pattern works gives a person a sense of control they did not have when it was just a label.
This is the same reason brain mapping matters before training. A QEEG shows where your resources are over-allocated and under-allocated, and the protocol follows from the map rather than from the diagnosis on your chart.
What Does the Research Support?
The structural side is now documented. Ghaziri and colleagues showed in 2013 that intensive neurofeedback produces measurable gray matter and white matter changes on MRI (Ghaziri et al., 2013). Those structural shifts are secondary, the downstream result of repeated functional change rather than a direct effect of the training itself.
The ADHD literature uses the theta/beta ratio, the power of slow theta (4 to 7 Hz) divided by fast beta (13 to 30 Hz), as a marker of low cortical arousal. SMR training and theta/beta protocols both have a research base for attention (Arns et al., 2009). For mood, Baehr and colleagues followed alpha asymmetry training for depression and reported gains that held years out (Baehr et al., 2001). I cover the attention work in Does Neurofeedback Work for ADHD? and the SMR mechanism in SMR Neurofeedback: Train Sleep, Focus, and Self-Control.
How Do You Get Started?
Start with a map. A QEEG tells you which resources are cramped and which protocol fits your brain rather than your diagnosis. From there, training is a course of sessions, in person or remote, that reinforces the patterns your brain is under-producing.
If you want to understand the practical side, including what neurofeedback costs in 2026, whether insurance covers it, and how remote neurofeedback works, those pages walk through the logistics. The science holds up, the changes show up on imaging, and the frame that drives all of it is simple: your brain has resources, those resources can get stuck, and you can train them back toward regulation.
References
- Peniston (1989). Alpha-theta brainwave training and beta-endorphin levels in alcoholics. doi:10.1111/j.1530-0277.1989.tb00325.x
- Ghaziri (2013). Neurofeedback Training Induces Changes in White and Gray Matter. doi:10.1177/1550059413476031
- Arns (2009). Efficacy of Neurofeedback Treatment in ADHD: The Effects on Inattention, Impulsivity and Hyperactivity: A Meta-Analysis. doi:10.1177/155005940904000311
- Baehr (2001). Clinical Use of an Alpha Asymmetry Neurofeedback Protocol in the Treatment of Mood Disorders. doi:10.1300/j184v04n04_03