BrainMaster Technologies Inc.

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

02/02/2026

New Research Strengthens the Case for Neurofeedback in Trauma Support

A newly published systematic review and meta-analysis from 2024 adds important clarity to the growing body of research on neurofeedback and trauma-related symptoms.

By pooling data from 17 randomized controlled trials involving a total of 628 participants, the authors found that neurofeedback outcomes generally favored improvement when compared with control conditions. These improvements were observed across commonly used clinical scales for trauma and mood, including PTSD and depression measures.

One particularly interesting finding was timing. In several analyses, improvements appeared to be more pronounced at follow-up rather than immediately after training. This supports what many clinicians observe in practice, that neurofeedback effects may consolidate over time as self-regulation skills strengthen.

Why Results Differ Across Studies

The paper also helps explain why neurofeedback results can vary across the literature. Outcomes are influenced by factors such as protocol selection, dosing, participant characteristics, and study design. Importantly, newer approaches are showing stronger effects.

In particular, fMRI neurofeedback, along with fMRI-guided or fMRI-inspired EEG neurofeedback, appears to benefit from more precise target selection and better-defined protocols. The overall direction of the field is clear: neurofeedback is moving away from one-size-fits-all approaches and toward individualized, data-driven training strategies.

How This Aligns With Modern Neurofeedback Practice

At BrainMaster Technologies Inc., we see this as fully aligned with the evolution of modern neurofeedback.

Effective training depends on high-quality physiological measurement paired with actionable feedback. BrainMaster’s EEG and QEEG ecosystem, including Discovery series amplifiers and BrainAvatar software, is designed to support clinicians in:

• Collecting robust EEG data
• Evaluating baseline patterns using evidence-informed QEEG workflows
• Delivering flexible neurofeedback protocols
• Tracking session-by-session progress with clear metrics and reporting

While EEG neurofeedback is not the same as fMRI-based training, these tools help translate the broader trend toward targeted neuromodulation into practical, scalable clinical workflows. Features such as guided protocol selection, artifact management, and progress monitoring can help improve consistency and clinical confidence over time.

A Reminder on Evidence and Implementation

As the literature continues to mature, this meta-analysis also reinforces an important point: outcomes depend on study quality and thoughtful implementation. Protocol choice, training dose, participant variability, and professional oversight all matter.

Neurofeedback is not magic, and it is not generic. Precision, personalization, and responsible use remain essential.

Important Note

Neurofeedback and QEEG are evidence-informed training tools that may support self-regulation. They are not intended as medical interventions.

Educational content only. Not medical advice.
Article URL: https://pubmed.ncbi.nlm.nih.gov/38577405/

Based on newer published studies and the outcomes measured, NF has demonstrated a clinically meaningful effect size, with an increased effect size at follow-up. This clinically meaningful effect appears to be driven by newer fMRI-guided NF and deeper brain derivates of it.

01/29/2026

Shyness May Start in the Cerebellum—Not the Mind

New research linking shyness to cerebellar resting-state network patterns is a meaningful evolution in how we understand social inhibition. Instead of seeing shyness just as a mental issue or a problem with self-control, the findings indicate it might be linked to important processes in the cerebellar circuits that help with timing emotions, expecting social situations, and keeping track of oneself.

This matters for neurotechnology.

Most commercial “brain performance” tools focus almost exclusively on frontal cortex signals, using them as proxies for confidence, focus, and emotional regulation. But qEEG-based whole-brain assessment, like what we perform with the BrainMaster Discovery 24E, allows clinicians to evaluate distributed network dynamics, not just frontal activity. That broader lens is essential if traits like shyness, anxiety, or social withdrawal reflect long-standing regulatory patterns across interconnected brain systems, including subcortical and cerebellar-linked networks.

With Live Z-Score neurofeedback, the aim is not just to strengthen frontal control, but to assist the brain in adjusting itself to healthier network states as it happens, which can help improve emotional control, sensitivity to threats, and the ability to predict situations better. In theory, this kind of training at the network level might be important for understanding why some people are socially reserved and more sensitive to potential threats.

Scientific credibility note:

There is some encouraging evidence that neurofeedback can help lessen symptoms related to anxiety and avoiding social situations, but we still don't have strong clinical proof that it specifically corrects the cerebellar Crus I patterns associated with shyness. This remains an emerging, testable frontier, not a settled claim.

From a Brain First Longevity perspective, the takeaway is larger than shyness alone. Chronic threat-based prediction patterns can shape emotional resilience, social engagement, stress physiology, and long-term cognitive aging. If longevity includes maintaining confidence, adaptability, and social vitality across decades, then whole-brain mapping and training cannot stop at the frontal cortex.

The cerebellum and predictive networks are not optional.

They are foundational.

And whole-brain qEEG-guided neurofeedback is one path toward addressing them responsibly.

https://www.sciencedirect.com/science/article/abs/pii/S0191886925004167

01/26/2026

EEG neurofeedback for sport performance: what the latest
RCT-focused review suggests and why standardization matters

A recent systematic review of randomized controlled
trials in sport psychology underscores both the promise and the
growing pains of EEG neurofeedback for performance: across the small set of qualifying RCTs, neurofeedback training was often associated with improvements in measurable sport outcomes such as shooting accuracy, golf putting performance, and broader motor-skill metrics (e.g., precision, balance, dexterity), aligning with the psychomotor efficiency hypothesis that better-regulated neural activity may support more efficient, consistent ex*****on under pressure. At the same time, the review highlights why results can be difficult to compare or replicate in applied settings: studies used differing EEG targets (including commonly discussed patterns like sensorimotor rhythm and frontal midline theta), varied electrode placements and frequency definitions, and inconsistent control conditions, making it harder to isolate which neural markers are most specific to particular performance demands. Importantly, the authors note a need to move beyond “one-size-fits-all” approaches by standardizing target selection and expanding attention to underexplored EEG features, including coherence/connectivity measures that may reflect coordination across networks involved in attention, timing, and motor planning.

We at BrainMaster see this as a call to elevate neurofeedback in sport from an interesting add-on to a more evidence-informed,
measurement-driven training process: beginning with reliable EEG
acquisition and, when appropriate, QEEG-guided baseline assessment to justify protocol decisions, then applying consistent training parameters and objective performance tracking over time. BrainMaster platforms, such as the Discovery series for EEG/QEEG assessment and our neurofeedback-capable systems (e.g., Atlantis and BrainAvatar-based workflows) are designed to help clinicians and performance professionals implement flexible protocols, document training variables, and refine targets with better rigor—whether the goal is attentional steadiness, composure, or motor efficiency. As the literature matures, combining standardized methods with high-quality signal capture and transparent reporting can help the field determine which protocols generalize best across sports and which should be individualized based on the performer’s neurophysiology and performance context.

01/23/2026

Network Entrapment After Concussion: Clinical Implications and the Supportive Role of Neurofeedback

**Background:** Persistent post-concussion symptoms (PPCS) remain difficult to explain using focal lesion or purely cortical models. The 2025 *Frontiers in Systems Neuroscience* article introduces the **Network Entrapment by Reflex Dysfunction (NERD) model**, a systems-level hypothesis proposing that maladaptive reflex circuitry and sensorimotor feedback loops can entrench the brain in rigid, low-flexibility network states following concussion.

**Model Overview:** The NERD model emphasizes dysfunction across interacting neural domains, including sensory interfaces, brainstem reflex hubs, cerebellar timing systems, basal ganglia–thalamic modulation, and cortical integration. Disruption within reflex and subcortical circuits may generate inaccurate sensory feedback, which is repeatedly reinforced through cortico-subcortical loops. Over time, this recursive looping may reduce network adaptability and contribute to chronic symptoms such as cognitive fatigue, dizziness, postural instability, and attentional inefficiency.

**Clinical Implications:** This framework reframes PPCS as a problem of **network dynamics and adaptability**, rather than static injury alone. It supports clinical approaches that assess distributed neural function (e.g., quantitative EEG) and prioritize interventions aimed at improving system-wide regulation, flexibility, and feedback accuracy. Multimodal strategies addressing both sensory-motor inputs and central network coordination are conceptually aligned with this model.

**Neurofeedback as Supportive Therapy:** Although neurofeedback is not evaluated in the article, its core aim—supporting self-regulation of neural activity—maps conceptually onto the NERD model’s emphasis on restoring adaptive network states. In particular, **live Z-score neurofeedback**, as implemented in BrainMaster systems, enables real-time feedback based on deviations from normative multivariate EEG patterns. This approach may support normalization of network relationships and variability, potentially countering the rigid dynamics described in reflex-driven entrapment models.

**Conclusion:** The NERD model provides a compelling systems-level hypothesis for PPCS that highlights the importance of reflex integration and network flexibility. Neurofeedback, including live Z-score training, may be considered as an adjunctive, non-invasive approach to support neural regulation and adaptability within comprehensive, clinician-directed care.

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*Disclaimer: This content is for educational and informational purposes only and is not medical advice. Neurofeedback and BrainMaster systems are intended to support clinical assessment and training workflows and are not presented as treatments or cures for concussion or other medical conditions. Clinicians should rely on their professional judgment, local regulations, and device labeling.*

https://www.frontiersin.org/journals/systems-neuroscience/articles/10.3389/fnsys.2025.1673195/full?fbclid=IwY2xjawPgUp1leHRuA2FlbQIxMQBzcnRjBmFwcF9pZBAyMjIwMzkxNzg4MjAwODkyAAEetkfS60Xa_aLkLuPhbhzuTnkRJnB6ya5r0xd8_LJUQ2j7BuSEqUZ4viiBNJw_aem_TberyLMpgD6PwS4qYbrZOw

Persistent post-concussive symptoms are often attributed to diffuse cortical dysfunction, yet this perspective may overlook key systems-level mechanisms. We ...

01/22/2026

Can neurofeedback training be associated with "structural" brain changes—not just functional EEG shifts?

A 2013 randomized MRI study published in "Clinical EEG and Neuroscience" reported that beta-band neurofeedback (15–18 Hz, F4–P4) in healthy adults was associated with:

• Improved sustained visual and auditory attention
• Increased white-matter integrity (DTI fractional anisotropy) in attention networks
• Gray-matter volume increases in frontal, parietal, temporal, and thalamic regions

Participants completed 40 neurofeedback sessions over ~13 weeks. Importantly, white-matter changes were observed "only" in the active neurofeedback group—not in sham or no-treatment controls.

While exploratory and limited by sample size, this study remains one of the clearest demonstrations that EEG-based neurofeedback may be linked to measurable neuroplastic changes—supporting its role as a "training modality," not just a short-term state intervention.

For clinicians and researchers, the takeaway is clear: pairing EEG training with objective outcomes (behavioral + imaging + qEEG) strengthens both clinical insight and scientific credibility.

https://pubmed.ncbi.nlm.nih.gov/23536382/

The main objective of this structural magnetic resonance imaging (MRI) study was to investigate, using diffusion tensor imaging, whether a neurofeedback training (NFT) protocol designed to improve sustained attention might induce structural changes in white matter (WM) pathways, purportedly implicat...

01/13/2026

In a world of nonstop change, your clients’ brains are under pressure.

Job uncertainty. Cognitive overload. AI-driven disruption. The nervous system feels it all.

That’s why Live Z-Score® Neurofeedback from BrainMaster Technologies Inc. matters now more than ever.

⚡ Real-time guidance, not guesswork—the brain sees itself moment by moment
🧠 Whole-brain intelligence – dynamic regulation across networks, not isolated bands.
📊 Science-forward simplicity—advanced analytics without over-complex protocols
🌍 Built for modern stress—adaptability for emotional regulation, overwhelm, and uncertainty

Live Z-Score training empowers the brain to do what it does best: self-correct, self-stabilize, and build resilience—even in an AI-accelerated world.

This isn’t just neurofeedback.
It’s state-of-the-art brain resilience for the era we’re living in.
www.brainmaster.com