BrainMaster Technologies Inc.

03/31/2026

https://brainmaster.ai/f/building-the-ai-resilient-brain

A Neuro-Fitness Strategy for Executives

03/23/2026

What ISNR 2025 Is Telling Us About the Future of Neurofeedback Practice

The 2025 ISNR Annual Conference keynote and plenary sessions painted a clear picture: neuroregulation is maturing fast. The field is moving toward more rigorous methods, broader implementation models, and sharper clinical frameworks. For practitioners, that means both opportunity and responsibility.

A few themes stood out.

Brain-body regulation is taking center stage. Presentations highlighted frameworks like Deep Brain Reorienting and broader stress-phenotyping approaches that emphasize how foundational orienting mechanisms connect brain and body. Alongside this, infra-low frequency (ILF) neuromodulation drew significant attention as an approach targeting intrinsic regulatory processes — an area attracting growing research interest.

Network-level thinking is reshaping protocol rationale. The "triple network" model — linking salience, default mode, and executive control systems — offered a conceptual bridge between EEG signatures and functional domains like attention, arousal, and cognitive processing. This kind of framework helps practitioners build more coherent, assessment-informed training rationale.

Technical standards are getting sharper — and that matters. Updated QEEG minimum technical requirements were a recurring thread. Artifact handling, reference choices, and metric calculations aren't abstract details; they materially affect interpretation. Standardization protects both the practitioner and the client.

Delivery and scalability are now practical conversations. Remote and virtual biofeedback/neurofeedback models, along with stepwise return-to-activity concepts, reflect a field thinking seriously about how to extend reach without sacrificing structure. Paced training plans with defined monitoring points are moving from idea to implementation.

Machine learning is entering the workflow — carefully. Multiple presentations pointed to ML-assisted EEG pre-screening as a way to reduce clinician burden. The consensus: transparent methods and expert oversight are non-negotiable for results to remain clinically meaningful.

Where BrainMaster Fits:

These trends align directly with how BrainMaster designs its platforms.

The BrainMaster Discovery and Atlantis systems are built for professional workflows that begin with assessment. That means supporting QEEG acquisition to established technical standards, enabling normative comparison and z-score-informed protocol selection where clinicians choose to use them, and preserving clinician control over protocols and signal quality at every step.

Remote and flexible delivery is built in. Progress documentation is structured and exportable. Signal acquisition is designed to support the kind of data quality that makes interpretation reliable.

As ISNR's best-practice conversations continue to evolve, BrainMaster's focus stays the same: give practitioners tools that translate current neuroscience into consistent, well-documented training sessions—and keep the clinician in control of every decision that matters.

BrainMaster technologies are FDA-cleared devices intended for use by qualified professionals. Device capabilities referenced here reflect platform features and do not constitute claims of clinical efficacy for any specific condition or outcome.

03/16/2026

A 2025 systematic review and meta-analysis in Frontiers
in Psychiatry synthesized randomized controlled trials testing whether adding EEG neurofeedback (EEG-NF) to standard pharmacotherapy is associated with greater changes in symptom ratings than medication alone in adults with schizophrenia. Across 14 RCTs totaling 1,371 participants, the pooled results favored the combined approach for both positive and negative symptom scales, while also revealing substantial between-study heterogeneity—an important reminder that
“neurofeedback” is not a single intervention, but a family of
protocols that differ in targets, montage, reinforcement schedules,
feedback modality, and training intensity. Subgroup analyses pointed to a practical “dose” signal: programs delivered at higher frequency (≥4 sessions/week) and longer duration (≥8 weeks) tended to show larger effects, and several studies used protocols emphasizing SMR (12–15 Hz) and beta activity, often at central and prefrontal sites. The authors also evaluated study quality using PEDro and the CRED-nf checklist, finding generally moderate methodological quality but persistent gaps in preregistration, blinding feasibility, and data
transparency—factors that likely contribute to variability and to the
lower certainty rating for negative-symptom findings due to
publication-bias concerns.

We at BrainMaster see this as aligned with where the field is headed: more precise, better-documented, and more personalized EEG-NF that may support professional care. Our BrainMaster Atlantis and Discovery systems support research-informed workflows by enabling flexible protocol design, real-time artifact management, and multimodal feedback delivery, while BrainMaster QEEG tools may help clinicians ground training decisions in objective baseline and follow-up metrics rather than relying on generic band targets alone. As the literature calls for clearer reporting of parameters (sites, bands, thresholds, and processing), having platforms that make these settings explicit
and repeatable can help clinics standardize practices, compare
outcomes over time, and participate in higher-quality multi-site
research initiatives.

Educational content only, not medical advice.
Neurofeedback and QEEG are evidence-informed wellness and performance technologies that may support professional care; they are not intended to replace professional medical evaluation or care.

Article URL: https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2025.1537329/full

03/09/2026

A recent PROSPERO-registered systematic review and
meta-analysis of randomized controlled trials highlights both the
Neurofeedback research involving adults reporting posttraumatic stress symptoms holds both promise and methodological challenges. In a few EEG-neurofeedback (EEG-NF) studies, the authors found that EEG-NF had moderate to large benefits compared to passive controls (like waitlists or regular care), but two fMRI-neurofeedback (fMRI-NF) studies that used fake The paper also points out that the reported changes in the brain—whether from EEG or fMRI—are hard to trust because of differences in methods, small numbers of participants, and worries about bias, which make it tough to tell if the effects are really due to neurofeedback or other factors like what people expect, how The review also points out that the changes in the brain reported—whether from EEG or fMRI—were often different from one study to another, showing the need for clearer reporting, more consistent ways to measure results, and well-designed active controls that provide the same amount of time and experience

We at BrainMaster see this as a constructive roadmap for where the
field is going: neurofeedback is an evidence-informed training
approach when delivered with rigorous assessment, high signal quality, and transparent, reproducible workflows. BrainMaster systems like the Discovery 24E, the Atlantis 4x4, and the Atlantis 2x2 offer high-quality EEG recordings and adaptable training setups that can follow standard procedures, while our QEEG tools assist doctors and researchers in understanding initial brain patterns, tracking changes over time, and improving training goals based on measurements. As study designs evolve toward stronger controls and more consistent biomarkers, platforms that emphasize data integrity, session-to-session tracking, and clinician configurability will be essential for producing results that are interpretable across sites and scalable in real-world practice.
Article URL: https://pubmed.ncbi.nlm.nih.gov/41415692/?utm_source=FeedFetcher&utm_medium=rss&utm_campaign=None&utm_content=03a54qA2O72ocG_BeE9TAwJz3jrMqRitp_u50vchLCG&fc=None&ff=20251222081123&v=2.18.0.post22+67771e2

03/03/2026

Is Neurofeedback right for your clinic?

03/02/2026

https://stresstherapysolutions.com/2018/01/practical-neurofeedback-how-to-get-up-and-running-with-your-equipment-2/?fbclid=IwY2xjawQSriRleHRuA2FlbQIxMQBzcnRjBmFwcF9pZBAyMjIwMzkxNzg4MjAwODkyAAEe1t7T-PVzM6egeQ6UCoC4j6mfFGktCnhBkaJ85HZSjj4k-jcxyqXkrSixmdA_aem_iRf3q_IwZAWTct2WPAhNqw

April 27th - 29th, 2026 Live In-Person Workshop Hands on workshop Bring your equipment. Leave as an INTERMEDIATE USER GUARANTEED! Limited Seating!

03/02/2026

https://brainmaster.ai/f/when-sham-controls-get-too-real

When Sham Controls Get Too Real: What a Home-Based Neurofeedback Trial Tells Us About Protocol Integrity

03/02/2026

https://brainmaster.ai/f/neurofeedback-promise-for-cognitive-function-in-aging-adults

Neurofeedback Training Shows Promise for Cognitive Function in Older Adults with Mild Cognitive Impairment

02/24/2026

https://www.facebook.com/share/1Bx9ogRCLb/?mibextid=wwXIfr

April 10, 11, 17, & 18, 2026 Virtual Workshop This workshop is for anyone seeking BCIA didactic hours towards certification as well as anyone new to Neurofeedback. Course introduces database guidance and protocol selection. BrainMaster equipment is the equipment of choice for this workshop. Limited....

02/09/2026

A recent long-term study getting attention in the news suggests that structured brain training, especially exercises that improve processing speed, may help protect cognitive function as we age and could even be associated with lower dementia risk over time. That’s encouraging, and it reinforces something many of us in applied neuroscience have believed for years: the brain responds to targeted training, and those changes can last.

It also raises an interesting question. If training reaction time and attention through computer-based tasks can produce long-term benefits, what happens when we train the underlying brain activity directly?

That’s where neurofeedback comes in. Instead of only training behavior, neurofeedback uses real-time brain signals to help the brain learn more efficient patterns of regulation, timing, and focus. Many of the same core functions highlighted in the study, like processing speed, attention stability, and neural efficiency, are areas neurofeedback has been targeting clinically for decades.

We don’t yet have massive long-term prevention trials in neurofeedback like the one making headlines, but the principles overlap in meaningful ways. If strengthening processing speed and attention through structured training can influence long-term brain health, it’s reasonable to wonder whether directly training the neural networks behind those functions could show similar benefits if studied at scale in the future.

The bigger takeaway is this: the brain is trainable across the lifespan. Whether through cognitive exercises, neurofeedback, or a combination of both, we are moving toward more personalized and proactive approaches to brain health. The next wave of research will likely explore how these methods can work together to support resilience, performance, and long-term cognitive wellness.

https://www.aol.com/breakthrough-brain-health-training-brain-161000501.html?utm_source=flipboard&utm_content=topic/brain

02/09/2026

QEEG-Informed Neurofeedback Effectiveness and Predictors of Response in Real-World Multi-Site Practice

https://brainmaster.ai/f/qeeg-informed-neurofeedback

Effectiveness and Predictors of Response in Real-World Multi-Site Practice