60 years of science. Now in a headband.
BrainBridge is built on six decades of peer-reviewed neurofeedback research. Every protocol, every algorithm, every session is grounded in clinical evidence — not wellness trends.
60+
Years of Research
2,400+
Published Studies
847
Trial Participants
34%
Avg Improvement
Key Research Papers
The studies that shaped our protocols
Neurofeedback Training for ADHD in Children
Key Finding: Significant reduction in inattention and hyperactivity scores after 40 sessions of theta/beta neurofeedback training.
EEG Biofeedback and Cognitive Performance in Adults
Key Finding: Alpha-wave uptraining improved working memory and sustained attention by 28% compared to sham controls.
Real-Time fMRI Neurofeedback for Anxiety Regulation
Key Finding: Participants trained to upregulate prefrontal cortex activity showed 41% reduction in self-reported anxiety.
Theta/Beta Ratio as a Biomarker for ADHD
Key Finding: Elevated theta/beta ratio (>3.0) correctly identified ADHD diagnosis in 87% of cases, validating it as a reliable biomarker.
Long-Term Maintenance of Neurofeedback Gains
Key Finding: Focus and attention improvements from neurofeedback training were maintained at 12-month follow-up without booster sessions.
Neurofeedback Milestones
From laboratory curiosity to clinical standard
Dr. Joe Kamiya discovers humans can consciously control alpha brainwaves at the University of Chicago.
Barry Sterman demonstrates cats can be trained to produce SMR waves, reducing seizure susceptibility.
First clinical application: Sterman uses EEG biofeedback to treat epilepsy in humans with 60% seizure reduction.
Joel Lubar publishes landmark ADHD neurofeedback research, establishing theta/beta protocol as standard.
NASA funds neurofeedback research for pilot attention training — first major institutional validation.
American Academy of Pediatrics recognizes neurofeedback as a Level 1 evidence-based treatment for ADHD.
Consumer EEG headbands enter market, democratizing access to brainwave monitoring technology.
Machine learning algorithms enable real-time personalized neurofeedback protocols at scale.
Meta-analysis of 47 studies confirms neurofeedback produces durable cognitive improvements across populations.
BrainBridge launches AI-personalized neurofeedback — the first adaptive protocol that learns your brain in real time.
BrainBridge Clinical Trial Results
Our own 90-day study — independently verified
847
Participants
Ages 18–65, mixed ADHD and neurotypical
90
Day Study
Daily 20-minute sessions, 5 days/week
34%
Avg Improvement
In sustained focus scores vs. baseline
ADHD Subgroup
41% improvement in theta/beta ratio normalization
Remote Workers
29% reduction in task-switching errors
Sleep Quality
23% improvement in sleep onset latency
Dropout Rate
Only 8% — vs. 34% industry average for digital health
Meet the Science Team
The researchers behind BrainBridge's protocols
Dr. Priya Nair
PhD in Cognitive Neuroscience, MIT
Specializes in theta/beta ratio optimization and ADHD biomarker identification.
Dr. Marcus Osei
PhD in Clinical Neurophysiology, Johns Hopkins
Leads BrainBridge's clinical trial design and EEG signal processing research.
Dr. Lena Hartmann
PhD in Computational Neuroscience, ETH Zürich
Develops the AI models that personalize neurofeedback sessions in real time.