Recap of Today's ISNR Discussion Group - Insurance Companies Still Consider NFB Experimental

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Susan Alvarez

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May 22, 2026, 2:33:19 PMĀ (2 days ago)Ā May 22
to 'Siegfried Othmer' via ISNR_Members_Forum
Dear members,

In today's discussion group, we hit on the topic of insurance companies view of neurofeedback. (All members may join the discussion groups at no cost and without registering.)Ā  Rob Longo did a quick query of AI and came back with this response, just for your information:

Asked of AI: Does the health insurance industry still consider neurofeedback as experimental
Short answer:
šŸ‘‰ Yes—most major U.S. health insurers still classify neurofeedback as ā€œexperimentalā€ or ā€œinvestigationalā€ in 2026,Ā although there are some exceptions and gradual changes.

What insurance companies currently say (2025–2026)
1) Many major insurers still label it experimental
  • Policies from large insurers (e.g., Blue Cross, Cigna, Aetna in some cases) commonly state that neurofeedback/EEG biofeedback is ā€œexperimental, investigational, or unproven.ā€ [scienceinsights.org]
  • Example: A Blue Cross medical policy explicitly states neurofeedback is**ā€œexperimental/investigationalā€ due to insufficient evidence of improved outcomes.** [bcbsm.com]
  • Because of that classification, claims are often denied by default.
šŸ‘‰Ā This ā€œexperimentalā€ label is the main reasonĀ coverage is limited—not necessarily because there is no research, but because insurers judge the evidence as not strong or consistent enough.

2) Medicare and many public plans are especially restrictive
  • Medicare generally does NOT cover neurofeedback for mental health or cognitive conditions, classifying it as investigational and not ā€œreasonable and necessary.ā€ [biologyinsights.com]
  • It typically only covers traditional biofeedback (not brain-based)Ā for specific physical uses like muscle rehabilitation. [legalclarity.org]

3) Industry-wide pattern today
From multiple sources, a consistent pattern emerges:
  • āœ… Covered more often:
    • Traditional biofeedback (muscle/physiological)
  • āŒ Often denied:
    • Neurofeedback (EEG-based brain training), especially for
      • ADHD
      • anxiety
      • depression
      • PTSD
  • Overall:
    • ā€œMost major insurers still classify neurofeedback as experimental or investigational.ā€ [neurolaunch.com]

But coverage is not zero—there are exceptions
Even though it’s often labeled experimental:
  • Some insurers approve it case-by-caseĀ (especially with strong documentation)
  • Coverage is more likely if:
    • Other treatments have failed
    • It’s combined with psychotherapy
    • It’s billed under broader biofeedback or mental health codes
  • Certain plans (or states/employers) do allow reimbursement, but not as a standard benefit [legalclarity.org]
šŸ‘‰Ā In other words:
ā€œExperimentalā€ doesn’t always mean ā€œnever coveredā€ā€”it usually means ā€œnot routinely covered.ā€

Why insurers still call it experimental
Insurers typically use that label when:
  • Evidence is considered inconsistent, evolving, or not definitive
  • There’s no broad clinical consensusĀ on protocols or outcomes
  • It’s not yet widely accepted as a standard first-line treatment
(Some newer research is stronger—especially for ADHD and PTSD—but policy updates tend to lag behind research.)

Bottom line
  • āœ… Yes — The health insurance industry largely still considers neurofeedback experimental/investigational in 2026
  • ā—Ā This leads to frequent denial of coverage
  • šŸ”„Ā But:
    • Coverage is increasing slowly
    • Some plans approve it under specific conditions
    • Appeals and documentation can sometimes succeed

Best regards,

Ā 

Susan Alvarez

Executive Director, ISNR

International Society for

Ā Ā  Neuroregulation and Research

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Mark Trullinger

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May 22, 2026, 3:24:29 PMĀ (2 days ago)Ā May 22
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Hello,

This is a good idea, but a few things are not quite right.Ā  Medical policies are not the same as coverage policies.Ā  For example, many BCBS plans do pay for neurofeedback routinely even though it is considered "experimental" or "investigational." Ā At the end of the day, payment is not alwaysĀ determined by medical policy as lack of payment can lead to consequences with mental healthĀ parity and with employers in ERISA plans who want it to be covered and share responsibility for determinations.Ā  While this is a hurdle, one that we are working on and the new CPT codes will help with, it is not something we should just accept.Ā  Moreover, the AMA and most member societies state that there should not be blanket denialĀ of a Category I CPT code in coverage policiesĀ for Experimental/Investigational or not medically necessaryĀ as they say it has shown that it is not experimental/investigational and is medically necessary for at least one diagnosed condition by meeting the requirementsĀ for a Category I CPT code. Ā 

I just want to make sure we don't send the message in a way that this type of behavior of Experimental/Investigational and not medically necessary for anything is acceptable and just how things are.Ā  It is wrong.Ā  And, that is not just me speaking or our field.Ā  We have the majority of medicine that backs that viewpoint.Ā  We need to push back rather than accept and move on.Ā 

Also, there are a number of medicaid plans and the VA that provide coverage.Ā  How can some determine coverage and others not with the same evidence?Ā  How can blanket denials be accepted when there are inconsistencies?Ā  And, generally speaking blanket denials are not acceptable for mental health parity reasons.Ā  These are the questions and actions we need to focus on.

The medicare issue is no longer "experimental" or "investigational" status.Ā  It changed a few years ago.Ā  It is currently "not medically necessary" for the treatment of any "diagnosed condition." Ā 

Best,

Mark

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sarahprinsloophd

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May 22, 2026, 3:59:50 PMĀ (2 days ago)Ā May 22
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We now have randomized controlled trials, placebo‑controlled trials, dosage‑finding studies, and mechanistic trials for neurofeedback. In other words, the field has produced all of the evidence, and in some cases more, that pharmaceutical and device manufacturers must generate to achieve formal approval. Yet the pathway for neurofeedback remains unclear and disproportionately difficult.

I’ve read about the extensive work being done around CPT codes, and it’s impressive. But it also raises the question: what else can be done, and why does the bar seem so much higher for neurofeedback than for other neuromodulation approaches?

Take TMS as an example. It is currently one U.S.-based RCT, approximately 129 participants, away from being endorsed as a treatment for pain. Only a small number of European trials have demonstrated TMS efficacy for pain, yet the FDA’s requirement is simply that a single RCT be conducted domestically. That’s a remarkably streamlined path compared to what is being asked of neurofeedback.

So why the apparent leniency for TMS and the barriers for NFB? Is it because TMS already holds FDA clearance for depression, and pain is considered an extension into a new indication rather than a new technology? Or is it because, outside of research settings, TMS must be administered under the supervision of an MD, which may make regulators more comfortable with perceived oversight and risk management?

These discrepancies raise important questions about how neuromodulation technologies are evaluated, who gets to define ā€œacceptable evidence,ā€ and what structural factors influence regulatory momentum.

BTW, the n=129 was recommended by the FDA...

Hope everyone is well!Ā  Have a great weekend.

Warmly,

Sarah

David Cantor

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May 22, 2026, 5:10:18 PMĀ (2 days ago)Ā May 22
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Hi Sarah,

Thank you for providing further discussion on this topic.

Personally, I think the discrepancy exists because TMS requires an MD to approve and sign off on the procedure. This implies a very specific licensed discipline is required, under the presumption that a State Board of Examiners provides oversight. For example, while I might recommend TMS for one of my patients, I cannot perform the procedure and expect reimbursement because my Board of Examiners may not consider it within my license’s scope of practice.It is similar for neurofeedback, i.e.,Ā Ā  they don’t explicitly say I cannot do it but itĀ highlights the lack of clear oversight. Theoretically, if someone is certified and using such techniques under their professional scope of practice, it should be covered; however, insurance companies choose not to do so by labeling it "experimental."

The same argument can be made for EMDR. While the body of evidence is relatively limited, because it is coded under psychotherapy, it is generally approved. In many cases, insurance companies lump together any procedure using "sensors" as not being psychotherapy, making the codes arguable.

I have been able to successfully defend getting paid for qEEG examinations by obtaining approval from the Board of Examiners in three states where I have beenĀ licensed. They confirmed the procedure is within my scope of practice as a licensed psychologist when used appropriately. Consequently, qEEG is not considered experimental in the same sense as neurofeedback. Perhaps the lack of consensus or definitive oversight from Boards of Examiners regarding neurofeedback remains a significant barrier?

Ultimately, these are my impressions regarding these obstacles, aside from the fact that insurance companies are always looking for excuses to avoid paying for procedures whenever possible.

Best,

Dave



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lrob...@gmail.com

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May 23, 2026, 8:10:32 AMĀ (yesterday)Ā May 23
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Dave, Sarah, Mark, and others:

Ā 

My primary concern and reason for posting this is: as people turn more and more to AI… this may discourage the general public from considering neurofeedback because they are not thinking at the level we as professionals do… they simply read: ā€œPolicies from large insurers (e.g., Blue Cross, Cigna, Aetna in some cases) commonly state that neurofeedback/EEG biofeedback is ā€œexperimental, investigational, or unproven.ā€

Ā 

We need to begin to address this issue for the general public.

Ā 

Rob

David Cantor

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May 23, 2026, 1:24:34 PMĀ (yesterday)Ā May 23
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We got the House of Representative in the Georgia Government to pass a resul;tion to have 2Ā  months of every year starting in 2026 going forard - to have as Neurofeedbck Months - we aer planning to leverage this by offering a discussion on talk shows and podcastsĀ  -Ā 

Mark Trullinger

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May 23, 2026, 1:24:49 PMĀ (yesterday)Ā May 23
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Rob and all,

Thank you for sending this and for keeping this conversation moving. I think Rob’s concern is important because the general public is not reading these issues the way we do as professionals. They are seeing a simple message: large insurers still call neurofeedback experimental, investigational, or unproven. For many people, especially as they increasingly turn to AI for quick answers, that may be enough to discourage them from considering neurofeedback at all. That is a problem we need to address directly.

In my dissertation, I looked closely at why neurofeedback has not progressed along a typical adoption trajectory for a medical device innovation in mental healthcare. That context matters. Medical device innovations in mental healthcare generally move much more slowly than medications, with an average path closer to 40 years compared to roughly 10 years for a pharmaceutical treatment. When I first studied this, I framed neurofeedback’s under-adoption in comparison to TMS, which appeared to be following a more typical trajectory and perhaps even moving slightly ahead of schedule. It is hard to believe I was collecting those data almost 10 years ago, around the same time I became involved with the CPT project and insuranceĀ reimbursement.

At the same time, I do not think the comparison to TMS is always completely fair. There are important differences in how the two fields developed, how they are regulated, and how they are used. Neurofeedback has been around for many years and has had Category I CPT codes since 1978, under the original biofeedback codes that were intended to broadly cover medicine. However, our field also has a complicated history. We have sometimes over-promised what neurofeedback can do, rapidly adopted new protocols and new indications before developing strong internal consensus (within our field before even addressing outside of our field with mainstream medicine), allowed use across a very wide range of professionals and settings, and blurred the boundary between clinical treatment and non-clinical peak performance work. There has also been a longstanding countercultural element in parts of the field that did not want to be part of mainstream medicine and, at times, actively pushed back against it.

I am not saying this describes the whole field, and I am not raising these points simply as criticisms. Some of these qualities are also part of what made neurofeedback innovative, flexible, and clinically meaningful. But all of them slow the path toward mainstream medical acceptance. They make it easier for insurers, regulators, and medical policy committees to say the field lacks standardization, lacks oversight, or lacks consensus, even when the evidence base itself is much stronger than those labels suggest.

This is where the FDA issue becomes especially important. Relatively little formal FDA work has been completed in neurofeedback, and I do not think that is because the bar is impossibly high. I think it is partly because we have not consistently prioritized fitting into the structures mainstream medicine actually uses. Too often, we have wanted to define the rules ourselves rather than ask what the FDA, CPT, insurers, and medical policy committees are actually requiring.

Sarah’s point about TMS is a good example. TMS reportedly had an FDA-recommended pathway involving one U.S.-based randomized controlled trial of approximately 129 participants for pain. That is not an impossible number. More importantly, neurofeedback already has an example within our own broader space. How many people in our field are aware that there is already FDA clearance for a neurofeedback-based device to assist in the treatment of PTSD? That clearance was based on just over 80 participants, included a 3-month follow-up, required a defined amount of improvement in at least 50% of participants, and did not require a control group. This device came from and mostly exists outside of the main frameworks of our field as we currently exist.Ā  That should be concerning.Ā  Moreover, some biofeedback devices with specific indications have also received clearance by relying on existing research, including research involving different devices. So, while a primary indication would likely require more, the starting point is not nearly as unrealistic as many in our field assume.

That is why I think the FDA issue is not simply a research problem. It is a prioritization problem. It is not that we have no evidence. As Sarah stated well, the field has randomized controlled trials, placebo-controlled trials, dosage-finding studies, mechanistic studies, and decades of clinical work. The problem is that the evidence has not always been organized, framed, and operationalized in the way mainstream medicine expects. We have not created a clear blueprint that says: here is the indication, here is the protocol, here is the patient population, here is the outcome measure, here is the dosage, here is the follow-up period, and here is the path to regulatory and reimbursement acceptance.

Rob’s prior terminology crosswalk is a perfect example of this same problem. We use terms like home training, remote training, and telehealth in ways that do not map neatly onto the language used by the FDA, CPT, and mainstream medicine. We could choose to adopt common medical terminology, but instead we often keep translating between our language and theirs. That may seem small, but it affects research design, advertising, documentation, regulatory strategy, and reimbursement. If we cannot even agree to use the language of medicine when speaking to medicine, then we should not be surprised when medicine struggles to understand what we are doing.

The CPT project is a major step in the right direction. While I cannot share confidential details, I do want to say clearly that people with access to that information can verify that, over the last 10 years, there were multiple points when we faced a very real risk of losing our current Category I CPT codes. That would not have been a small setback. It could have moved the field significantly backward and made recovery very difficult if not impossible. We survived that process, and now we have an opportunity to use our presence in the CPT world to move toward medical policy development, reimbursement progress, and broader acceptance by mainstream medicine.

But we need to decide what we actually want as a field. Do we want mainstream acceptance? If so, are we willing to do what that requires? Are we willing to invest in FDA strategy, CPT maintenance, medical policy work, research organization, and terminology alignment? Are we willing to accept that initial coverage may be limited to a few indications and may require more established protocols before broader flexibility is possible? Are we willing to take an honest look at ourselves, including the criticisms that may be uncomfortable but sometimes valid?

Based on my research, my work with insurance companies and CPT, and conversations within medicine more broadly, I think several steps would move us forward.

First, FDA strategy needs to become a real priority. FDA clearance gives us a stronger position for marketing, reimbursement, policy advocacy, and public credibility. The path is not as impossible as we sometimes make it sound. The PTSD neurofeedback device clearance and existing biofeedback device pathways suggest there are realistic starting points if manufacturers and professional organizations choose to prioritize them.

Second, we need to continue investing in CPT work. We now have a presence in that world, not only to protect what we have, but to help shape the field in accepted medical terminology. The last 10 years came with real costs, although we worked hard to keep those costs much lower than what other organizations have had to spend. But if we disappear from that process again, history will likely repeat itself.

Third, we need a better research translation strategy. The issue is not simply that we need more research or a different kind of research. The issue is how the research is framed. We need ISNR, perhaps in coordination with FNNR, to develop a regularly updated research review that places neurofeedback in context with other accepted interventions, identifies where the evidence is strongest, and provides a practical blueprint for moving the field forward. This could function as a living white paper, updated every few years, and could lead to periodic published summaries.

Fourth, we need to keep pushing insurance conversations forward. Medical policies are not the same as coverage policies, and we should not accept blanket denials as if they are simply the natural order of things. Some Medicaid plans, VA systems, employer-funded plans, and private plans do cover neurofeedback under certain conditions. That inconsistency matters. If some systems can determine coverage using the same evidence, then blanket denial by others deserves to be challenged. Mental health parity also matters here, especially when Category I CPT codes are denied across the board as experimental, investigational, or not medically necessary for any diagnosed condition.

I do think we are closer than we have been in a long time. We may be on the edge of meaningful reimbursement progress, possibly even broader coverage in some areas. But that progress will likely come first for a limited number of conditions and may initially require more established protocols. The question is whether we can accept that as a starting point while continuing to make room for the broader clinical flexibility that has always been part of this field.

I appreciate everyone engaging in this conversation, and I hope we continue it. More than that, I hope we act on it. If mainstream acceptance is truly what we want, then we need to fund it, organize around it, speak the language required for it, go through the steps that are commonly accepted like FDA, and build the regulatory and research pathways that make it possible with clearĀ intent and motivation.

Talk is important, desires matter, but at the end of the day intentional targeted action and perseverance until it is complete is what ultimately reveals our priorities. Ā 

So, what do we want?

Best,

Mark Trullinger, PhD


Robert Thatcher

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May 23, 2026, 2:49:46 PMĀ (yesterday)Ā May 23
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For those interested, Neuroguide QEEG and Neurofeedback software has been FDA-510K approved since July 2003.Ā  Ā Also, we are commonly audited with a FDA representative coming to our offices every year or two.Ā Ā 

Here is a webpage that gives a partial listing of institutions, including Military and VA Hospitals using FDA registered Neuroguides.Ā  We just received another order for three more Neuroguide systems from Fort Campbell in Kentucky who are now using six Neuroguides to help injured soldiers.

Here is a partial list of FDA registered users of Neuroguide:Ā Ā https://appliedneuroscience.com/ng-universities-and-institutions/

Robert W. Thatcher, Ph.D.




John Mekrut

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8:22 AMĀ (6 hours ago)Ā 8:22 AM
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This is another opportunity to teach AI search engines what the current truth is.Ā Ā 
If someone better informed than me can write a piece on the current state of affairs (Mark?), we can place this in the ISNR education documentsĀ 
which will inform our Members, our own FAQ section (and our new ISNR GPT)Ā  and AI at large.Ā Ā 

Best,
John Mekrut

Brandi Johnston

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11:45 AMĀ (3 hours ago)Ā 11:45 AM
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Good to hear!
Sent from my iPhone

On May 23, 2026, at 12:49 PM, 'Robert Thatcher' via ISNR_Members_Forum <isnr_memb...@googlegroups.com> wrote:



Rob Longo

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2:10 PMĀ (1 hour ago)Ā 2:10 PM
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John:

Ā 

You wrote:Ā  ā€œThis is another opportunity to teach AI search engines what the current truth is.Ā  If someone better informed than me can write a piece on the current state of affairs (Mark?), we can place this in the ISNR education documents which will inform our Members, our own FAQ section (and our new ISNR GPT)Ā  and AI at large.ā€

Ā 

I so appreciate your enthusiasm and ideas.Ā  What I am hoping you and others here following this thread will understand is the following:

Ā 

Teaching an AI search engine to search for the truth on any topic related to QEEG, NFB, photo-biomodulation, neuroregulation, etc. etc., is not that simple.Ā  I have a close friend who is a major AI player and developer and has worked with google. (and keep in mind that students can now major and get degrees in AI use and development). And I mentioned in a previous post on the listserv… Most people barely know how to do a basic search using Google and other search engines. Using Chat GTP, CoPilot, etc., is no different. A simple inquiry can generate misinformation (PLEASE SEE THE ARTICLE LISTED AT THE BOTTOM OF THIS POST)

Ā 

He listed for me the following brief bullet statements regarding AI and how it works (this is a simplified version):

Ā 

  1. Most people use social media and AI is full of misinformation from Social Media. AI is listening to everything we do on line. Thus, if we are pulling in bad info, AI is learning that on our behalf.
  2. One must develop tools and generate rules and code for AI to follow. This requires time and a thoughtful process.
  3. The tools (when properly created) help build a unified code that AI uses to generate correct information and rule out bad info.
  4. This is a process that takes time.
  5. Once you generate AI information one needs to reverse the process to see if everything submitted was used and transposed accurately. So, it must be reverse checked much like translating a document from English to another language like Spanish.Ā  The Spanish version needs to be translated back into English to make sure it is accurate.Ā  The same needs to be done with AI.Ā  Are any references generated quality references from peer reviewed journals, or just info on line and from news casts?
  6. A single AI article on the ISNR Web Cite is not going to be helpful at all.
  7. ISNR would need to have a qualified professional generate a customized AI tool for ISNR members to use.

Ā 

In summery: A good AI tool would certainly help increase the growth of ISNR, but that AI tool needs to be developed for ISNR by someone skilled in AI development.

Ā 

Of course this is a different item than ISNR generating ā€œour own FAQ sectionā€. And, to create ā€œour new ISNR GPT) and AI at largeā€ will entail what I have mentioned above.

Ā 

I hope this helps.

Ā 

AI-generated fake citations are flooding scientific literature across publications, scientists warn

https://phys.org/news/2026-05-ai-generated-fake-citations-scientific.html?utm_source=nwletter&utm_medium=email&utm_campaign=weekly-nwletter

Rob Longo

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