Mapping & Fixing Your Brain With QEEG & Neurofeedback
Dr. Andrew Hill
Dr. Andrew Hill is one of the top peak performance coaches in the world. He holds a PhD in Cognitive Neuroscience from UCLA’s department of Psychology and researches attention, cognitive performance, and peak aging. Dr. Hill is the founder of Peak Brain Institute, host of the Head First Podcast, Lead Neuroscientist at truBrain, and a UCLA Lecturer teaching courses in psychology, neuroscience, and gerontology.
QEEG or EEG Brain Mapping is an assessment tool used to generate hypotheses and identify likely performance bottlenecks in the brain. This presentation will give an overview of how QEEG can be used, the history and some limits on QEEG, and how to identify features in the brain that are most likely to improve performance when addressed.
The brain is already changing all the time. It’s not a question of if you’re going to get change; it’s more like: how would you like to control the change you’re going to get?
Summary
- QEEG compares individual brainwave patterns to a normative database to identify resource bottlenecks and performance goals instead of focusing solely on diagnostic labels. - Neurofeedback uses operant conditioning to reward desired brainwave patterns, training the brain to improve self-regulation involuntarily through real-time audio and visual feedback. - Consistent training induces neuroplasticity, rewiring the brain’s synaptic connections and typically resulting in permanent improvements after approximately 30 to 40 sessions. - This technology effectively addresses clinical issues like ADHD, anxiety, and insomnia while also enhancing peak performance resources such as creativity and executive function. - Brain maps provide objective data on cognitive resources, showing that many issues are physiological patterns that can be retrained rather than fixed chemical imbalances.
Article
Mapping The Brain, Rewriting The Self
At Biohacker Summit 2018 Stockholm, Dr. Andrew Hill Argued That The Most Powerful Question Was Not What Was Wrong With You, But Where Your Brain Was Running Out Of Resources
On 18 May 2018, at **Biohacker Summit 2018 Stockholm** in **Stockholm, Sweden**, **Dr. Andrew Hill** stepped onto the stage with a provocation that cut against the grain of modern self-diagnosis. “How are your brains today?” he asked, half playfully, before answering for the room. They were fine, he suggested. But they could be better.
That tension, between adequacy and possibility, sat at the heart of Hill’s presentation, **“Mapping & Fixing Your Brain With QEEG & Neurofeedback.”** Rather than treating the brain as a catalogue of disorders waiting to be named, Hill proposed a different framework, one rooted less in pathology than in performance. The task was not to pin a person to a label, but to locate the hidden bottlenecks in attention, sleep, creativity, mood and executive function, and then train the brain past them.
“It is less useful to think about what is wrong with you,” Hill said. “It is more about finding where the bottlenecks in your resources are. Even the most highly performant of us will have days where we are burnt out.”
A Map, Not A Verdict
The central tool in Hill’s account was **QEEG**, or quantitative electroencephalography, a technique that records brain activity and compares it against a large normative database. The promise, as he presented it, was not diagnosis in the conventional sense. It was pattern recognition.
A baseline EEG captured the electrical rhythms of the cortex. QEEG then compared those rhythms with thousands of other brains, sorted by age and other variables, to reveal where an individual’s activity diverged from the expected range. In Hill’s telling, these deviations were not moral failings, nor fixed identities. They were physiological clues.
A high **theta-beta ratio**, for example, could point to executive function difficulties. Slowed **alpha speed** could indicate sluggish cognitive processing, making word retrieval and memory access harder. Abnormal **connectivity** patterns might suggest the aftermath of brain injury. **Frontal asymmetry markers** could reflect depressive states or entrenched pessimistic bias.
Hill was careful to frame these patterns as hypotheses, not verdicts. A brain map, he said, did not tell a person who they were. It offered evidence about where their resources might be under strain.
“We are not trying to make you normal or average,” he said. “We are trying to figure out where the bottlenecks are for your particular performance limits and goals and then ease those through neurofeedback.”
The Brain Beyond Awareness
If Hill’s science had a philosophical core, it was his insistence that the self only dimly perceives the machinery that sustains it. The conscious mind, in this view, is merely the visible surface of a far larger biological process.
“From my perspective, the mind is simply the part of the brain you are aware of,” Hill said. “The vast majority of what your brain is doing, you are not aware of at all.”
That line mattered because it undercut a familiar modern faith: that insight alone is enough. Some problems, Hill argued, were psychological and responsive to reflection, therapy and reframing. Others were more stubbornly physiological. You could build coping systems around ADHD, he suggested, but you were unlikely to talk yourself out of the underlying neural style. The intervention had to meet the brain at the level where the problem lived.
From Rocket Fuel To Neuroplasticity
One of the most striking passages in the talk reached back to the late 1960s, when UCLA researcher **Dr. Barry Sterman** conducted experiments for NASA on the effects of rocket fuel exposure. In those studies, Hill recounted, a subset of cats turned out to be unexpectedly resistant to seizures induced by toxic vapours. The reason was astonishingly simple: months earlier, they had been trained through operant conditioning to produce a specific brainwave pattern.
For Hill, this was the field’s founding revelation. The brain could be trained into more stable states. What began with seizure resistance eventually widened into work on epilepsy, sleep regulation, ADHD, anxiety and chronic insomnia.
Hill cited Sterman’s later findings as evidence of clinical efficacy, particularly in seizure reduction. He also described sleep as one of neurofeedback’s most reliable domains, in part because EEG science emerged historically from sleep research. If the sleeping brain was where electrophysiology first found its language, it was also where many of its practical successes first became visible.
Rewarding The Brain Into Change
Neurofeedback, as Hill described it, was both elegant and oddly humble. No electric jolt. No dramatic machine. No invasive override. Instead, it relied on **operant conditioning**.
Sensors recorded brain activity in real time. Software identified whether the brain was moving toward or away from a target pattern. When the desired pattern appeared, a game ran more smoothly, music swelled, visual feedback sharpened. When activity drifted off target, the feedback faltered. Over repeated sessions, the brain learned, involuntarily, to regulate itself more effectively.
The mechanism was not mystical. It was neuroplasticity. Repeated patterns of firing altered synaptic behaviour, and over time, structure followed function.
“Once a change has happened, your brain has new resources and it tends to reinforce those resources and practice them just by living in your brain,” Hill said.
That claim, bold as it sounded, was central to the appeal. Hill argued that after roughly **30 to 40 sessions**, many clients showed lasting gains, not temporary boosts. In his framing, neurofeedback did not mask a problem. It trained the organism out of it.
Clinical Medicine Meets Peak Performance
The force of Hill’s presentation lay partly in the breadth of what he believed this approach could address. On one end of the spectrum were disorders often considered clinical or even severe: **seizures, ADHD, anxiety, insomnia, addiction-related dysregulation**. On the other were the ambitions of the already functional: better creativity, better focus, better recovery, better cognitive speed.
That overlap helped explain why a talk like this belonged at a gathering called the Biohacker Summit. Hill was not speaking only to patients. He was speaking to optimisers, executives, strivers and the chronically curious, people less interested in cure than in capacity.
His language reflected that shift. He described his work at Peak Brain Institute less as medicine than as a kind of training culture.
“We are always going to ask you what you want, never tell you what you need,” he said.
In that sentence sat the ethos of the modern performance industry: deeply individualised, data-driven, wary of one-size-fits-all medicine, and always tilted toward agency.
The Biomarkers Of Mood, Attention And Decline
Hill’s presentation moved briskly through a series of patterns that QEEG, in his account, could reveal with unusual consistency.
The **theta-beta ratio** emerged as one of the strongest markers for executive function. In children and adults, it could sharply distinguish ADHD-like profiles. In older adults with mild memory complaints, Hill noted, the same ratio could help predict who might later decline into dementia and who might not.
**Peak alpha frequency** served as a marker of processing speed. A slowdown there could mean not that memory had disappeared, but that access to it had become sluggish.
**Frontal asymmetry** offered another lens. Drawing on research associated with **Richard Davidson**, Hill described a reversal in left-right frontal activation as a physiological marker linked to depression and a more avoidant, negative mindset. Left-dominant activity, by contrast, correlated with a more optimistic and approach-oriented style.
There were also the more controversial patterns Hill referred to informally as cortical “hot spots”: excessive beta activity in certain regions that, at a population level, could correlate with OCD-like rigidity, PTSD-like hypervigilance, overarousal or poor sleep.
To critics, such claims might risk oversimplification. To Hill, they were practical tools, meaningful when combined with the client’s own goals and lived experience.
Creativity, Hypnagogia And The Promise Of Altered States
Beyond remediation, Hill gestured toward one of neurofeedback’s more seductive frontiers: enhancement. Advanced methods such as **alpha-theta training**, he suggested, could hold the brain in a hypnagogic zone between waking and sleep, a liminal state long associated with creativity, emotional processing and recovery from trauma or addiction.
The implication was unmistakable. Brain training was not only for restoring what had been lost. It was also for reaching states that ordinary consciousness accesses only by accident, or with difficulty.
This was where the biohacking audience likely heard its own aspirations reflected back. The same instruments that could quiet seizures or improve sleep might also refine cognition at the top end, smoothing the path toward insight, flexibility and sustained high performance.
A Fitness Model For The Brain
Perhaps the most memorable aspect of Hill’s talk was the frame he used to tie it all together. He did not present the brain as a broken machine awaiting diagnosis. He presented it as a trainable system, dynamic, plastic and deeply personal.
That distinction matters. To treat the brain only as pathology is to search for what has gone wrong. To treat it as capacity is to ask what might yet be built.
At Biohacker Summit 2018 Stockholm, Dr. Andrew Hill made the case that many of the traits people experience as fixed, distractibility, burnout, insomnia, mood volatility, creative inconsistency, may in fact be measurable patterns of regulation. And if they are measurable, they may be trainable. If they are trainable, they may not be destiny.
The frontier he described was not simply technological. It was existential. A brain map, in this telling, became more than a scan. It became a portrait of possibility.
Part of Biohacker Summit 2018 Stockholm