- Apr 20
Half My Life in Neurofeedback
- Brendan Parsons, Ph.D., BCN
- Neurofeedback, Neuroscience
Today is my 40th birthday, and somewhere between the kids, the coffee, the calendar, and the mildly ironic existential comedy of getting older, I had a thought that stopped me in my tracks: I have now basically spent half of my life in this field.
Half my life in neuroscience. Half my life in biofeedback and neurofeedback. Half my life circling the same big questions in slightly different forms: How do people change? What does healing actually look like? What is regulation? What is learning? What is consciousness? And why, after all these years, does the brain still manage to humble me on a regular basis?
That realization did something to me. It made me less interested in pretending to be certain, and more interested in telling the truth. Because if this field has taught me anything, it’s that the deeper you go, the less patience you have for simplistic explanations of human beings.
When I was younger, when I first discovered neurofeedback, I thought I had stumbled upon something that was a very good answer. I was captivated by the elegance of it all — brainwaves, frequencies, networks, arousal systems, feedback loops, operant conditioning, self-regulation, plasticity. But I was also supremely interested in the fact that neurofeedback is, as I see it, a literal expression of "mind over matter". This is how the mind can literally change the brain. It is the extraordinary fact that, with the right information at the right time, the brain can learn to function more efficiently, to optimally adapt to its context, and - for some - to do so at a person's beck and call.
To be fair, I’m still captivated by it.
What I've learned (A lot of it the hard way)
But what I’ve learned over the years is that the brain is never just a thing you can understand completely with a map. It is not merely a machine to be tuned, corrected, or optimized in isolation. It's not about going from red to green, or Z = 2.5 to Z = 0. The brain is embodied. It is relational. It is developmental. It is predictive. It is contextual. It is shaped by stress, sleep, attachment, meaning, culture, physiology, and experience. A brain does not exist in a vacuum. Neither does a symptom. Neither does a person.
That may sound obvious now, but it was one of the hardest lessons I had to learn. (I really wanted A = 1 and B = 2. Sometimes, it is. But sometimes, A = 2 and B = 1. That's the beauty of the brain for you.)
For a long time, much of the conversation around neurofeedback leaned on a very seductive idea: find the dysfunctional pattern, train the better one, and the problem improves. And yes — of course — targeted work can be remarkably powerful. Specificity matters. Timing matters. Repetition matters. Salience matters. Anyone who has worked seriously in this field knows that neuroplasticity is not a slogan; it is the mechanism.
But the longer I’ve done this work, the more convinced I’ve become that neurofeedback is never just about brainwaves.
It is about learning. It is about state. It is about motivation. It is about whether the person in front of you feels safe enough, engaged enough, regulated enough, and understood enough for something new to actually emerge.
And that, to me, is one of the great hard lessons of clinical work: technique matters enormously, but the person always matters more than the protocol. The brain we are training is not a brain in a chair — it is a person living a life, bringing their history, their nervous system, their story, and their expectations into every session. I try to remember that every single time I sit down next to someone.
I’ve also learned that not everything that sounds neuroscientific is wise, and not everything wise bothers to sound neuroscientific.
That lesson has only become more important (and more obvious) as the field has grown, and me along with it.
What I've seen
Neurofeedback has grown up. (And I think I have too...)
When I look back, one of the most exciting changes has been watching biofeedback and neurofeedback move from the margins toward a more serious place in broader conversations about mental health, performance, and human functioning. We now talk much more openly about self-regulation, neuroplasticity, autonomic balance, individual variability, and the brain-body relationship. There is more research. Better technology. Better questions. Better discussions about mechanisms. A growing appreciation that outcomes are influenced not only by the signal being trained, but by motivation, attention, context, expectancy, reward, and the therapeutic relationship itself.
That is progress.
I’ve also loved seeing a gradual shift from rigid, one-size-fits-all thinking toward more personalized and adaptive approaches. The field is beginning to catch up with something clinicians have known for a long time: people do not learn the same way, regulate the same way, or respond to the same protocols in the same way. The future was never going to belong to generic training. It was always going to belong to individualized care.
And yet, growth comes with its own risks.
As this field has expanded, so has the temptation to oversimplify, overpromise, automate prematurely, and market beyond the evidence. Bad quality "wearables" are everywhere, masquerading as biofeedback. We live in a culture that rewards confidence, novelty, and clean narratives. But the nervous system is not especially interested in our branding strategy. (Although... admittedly there are lots of branding strategies that kick my high beta into overdrive... but... right. Birthday... choosing to avoid any collateral disinhibition.)
So another thing I’ve learned is that seriousness matters.
Rigor matters. Ethics matter. Humility matters.
If we are working with methods that can shape attention, arousal, emotion, and behavior, then we need to hold ourselves to a very high standard — not because the field is fragile, but because the people who come to us are often vulnerable. They are not looking for hype. They are looking for help. And that should keep us honest.
A high standard does not mean forgetting that we work with people, dressing our work up in incomprehensible jargon, or not taking the time to educate every single person we work with, regardless of their age, background, IQ, or amount billed. If you can't explain it simply, you don't really know what you're talking about.
Over the years, I’ve also found myself returning again and again to questions that sit somewhere between neuroscience and philosophy. Consciousness is one of them.
The more I’ve studied the brain, the less comfortable I’ve become with neat divides between mind and body, signal and meaning, mechanism and lived experience. Consciousness remains one of the most fascinating and inconvenient topics in all of neuroscience. It refuses to sit still. It resists reduction. It reminds us, constantly, that subjective life is not a minor inconvenience to be explained away once the technical work is done. The more I understand, the less I believe anyone who says that they know what consciousness is. I'm beginning to wonder if our brain is actually capable of contemplating what consciousness even is... not that I'm giving up anytime soon...
It may not even be something that sits cleanly inside the skull. More and more, I find myself drawn to frameworks that treat awareness as something relational — something that emerges from an organism in a body, in an environment, in a life. That view has consequences for practice. It means the signal is never the whole story. The bar on the screen is never the whole story. The person is.
In clinical practice, this becomes very concrete.
People do not come in asking for better brainwave metrics in the abstract. They come in saying, “I can’t focus.” “I can’t calm down.” “I don’t feel like myself.” “I’m exhausted.” “My child is struggling.” “I want my life back.”
That is where this field is at its best: when it remembers that signals matter, yes — but lived experience matters too. The physiology matters. The psychology matters. The environment matters. The relationship matters. Good neurofeedback and good biofeedback have never really been about choosing between brain, body, or experience. They are about working at the intersection of all three.
So, after half my life in this world, what do I believe more strongly than ever?
I believe regulation is learnable. I believe the nervous system can change. I believe self-awareness can be trained. I believe the body and brain often speak before the mind catches up. I believe protocols should serve people, not the other way around. I believe transfer into real life is the whole point. And I believe the future of this field will depend not just on better devices, but on better thinking.
That last point has been on my mind a lot recently. In my own writing on neurofeedback research, I’ve argued that the field still borrows too much of its methodological imagination from pharmacology, even though neurofeedback is an interactive, learning-based, person-in-context intervention. I suspect the same lesson applies more broadly: if our science is going to mature, our models need to fit the reality of what we are actually doing.
So what would I like to see in the next twenty years?
First, I would like to see a truly holistic and integrative neuroscience — one that stops treating the brain, the body, and the environment as separate departments. We need models that take embodiment seriously. Models that account for physiology, development, context, emotion, learning history, and the relational world people live in. Not as side notes, but as central explanatory forces.
Second, I would like to see neurofeedback become more personalized without becoming less human. I’m excited about multimodal systems, adaptive feedback, portable tools, better signal integration, and the possibility of training that extends more meaningfully into real-world life. That is all promising. But personalization is not just a software feature — it is also a clinical skill. It requires listening. Interpretation. Judgment. Timing. Hypothesis testing. And the ability to understand the person behind the data.
Third, I want us to get much better at bridging the gap between the clinic and the real world. Regulation in the chair is lovely. Regulation in the middle of a classroom, a hard conversation, a work deadline, a sporting event, a family conflict, or a sleepless week — that’s where it counts. The future of this field should be about helping people carry learned states into lived contexts. Otherwise, we risk training beautifully inside artificial conditions and calling it success too soon. Transfer was always going to be the real test. It still is.
Fourth, I would like to see stronger standards and clearer communication. Better research. Better training. Better public education. More transparency about what is well-supported, what is promising, and what remains uncertain. A mature field is not one that claims to do everything. It is one that becomes more precise about where it helps, for whom, under what conditions, and why.
And finally, I would like to see this field remain deeply human.
Not obsessed with perfect brains. Not seduced by optimization for its own sake. Not reduced to gadgets and dashboards and shiny promises.
But grounded in helping people become more flexible, more resilient, more aware, more capable of recovery, and more able to live a life that feels meaningful to them.
That, to me, is the point.
Thank you.
Today, on my birthday, I also find myself thinking about the people who shaped me long before any paper, protocol, or theory ever did. My kids, who have taught me more about the brain, development, emotion, and learning than any textbook ever could. My wife, whose patience with my being an absurdly large brain nerd has been, at times, nothing short of saintly. My mom, a teacher in every sense of the word, who left this world far too soon but taught me one of the most important lessons of my life: spend your time doing what you love, and love what you spend your time doing. And my sisters, who taught me that strength and sensitivity are not opposites, but often the very same thing — and who remain, to this day, my models of courage and perseverance.
Today, on my birthday, I’ll probably laugh a little at how quickly time moves. But mostly, I feel grateful.
Grateful for the science. Grateful for the family, mentors, colleagues, clients, students, and conversations that shaped me. Grateful for the hard lessons, even the uncomfortable ones. Grateful that this field has forced me to think more deeply not only about the brain, but about what it means to be a person.
And grateful that after all this time, I still feel the same pull toward this work.
Half a life in, I can say this with confidence: I know much more than I did when I began.
And I also know enough now to be in awe of how much remains mysterious.
Honestly, I think that’s a pretty good place to stand.