Science

The science BrainMod is built on.

EEG Neurofeedback

EEG neurofeedback is a technique in which real-time feedback derived from a person's own brain activity is used to train voluntary modulation of specific neural frequency patterns. The clinical research base spans more than five decades, with the largest evidence concentrations in attention, anxiety, and stress regulation.

Alpha-band training and anxiety

Uptraining alpha-band power (8–13 Hz) has been associated with reductions in state anxiety and improvements in subjective wellbeing in controlled studies. Alpha activity is broadly associated with relaxed, internally-focused states — a target well-suited to stress and recovery applications.

Zoefel et al., NeuroImage, 2011

Neurofeedback and attention: meta-analysis

A meta-analysis of randomized controlled trials examining theta/beta ratio training found moderate effect sizes on inattention and impulsivity measures, with effects comparable to behavioral intervention benchmarks.

Cortese et al., Journal of Child & Adolescent Psychiatry, 2016

Broader clinical applications

A systematic review across ADHD, epilepsy, and anxiety conditions found neurofeedback to be well-tolerated, consistently producing measurable changes in EEG power spectra, with clinical effects across multiple outcome domains.

Arns et al., Clinical EEG and Neuroscience, 2009

Transcranial Electrical Stimulation (TES)

Transcranial direct current stimulation (tDCS) uses low-intensity electrical current — typically 1–2 mA — delivered through scalp electrodes to modulate cortical excitability. Anodal stimulation at a target region generally increases excitability; cathodal decreases it. The technique is safe at clinical parameters, well-characterized in the adverse event literature, and has been investigated across neurological rehabilitation, mood, working memory, and cognitive performance domains.

tDCS for depression: individual patient meta-analysis

An individual patient data meta-analysis across multiple RCTs found significant effects of tDCS at the dorsolateral prefrontal cortex (DLPFC) on major depressive symptoms, with a safety profile characterized by mild, transient side effects.

Moffa et al., Progress in Neuro-Psychopharmacology, 2020

Foundational cortical excitability evidence

The seminal investigation establishing the excitability-modulating effects of tDCS in humans, demonstrating polarity-dependent changes in motor cortex output following low-current stimulation — the mechanistic foundation for the field.

Nitsche & Paulus, Journal of Physiology, 2000

tACS and neural oscillation entrainment

Transcranial alternating current stimulation operates at a frequency matched to a target brain oscillation, with a mechanistic rationale for frequency-specific entrainment. A review of EEG oscillation research examines the causal relationship between stimulation frequency and neural dynamics.

Herrmann et al., International Journal of Psychophysiology, 2016

Quantitative EEG and Normative Tracking

Quantitative EEG (qEEG) extracts mathematically derived features from the raw EEG signal — band-power, coherence, hemispheric asymmetry — and compares them against an age-matched reference population. In a longitudinal clinical context, the more important application is within-person tracking: using serial qEEG measurements to monitor how a client's neurophysiological profile shifts across the arc of a program.

BrainMod captures standardized resting-state qEEG at baseline and at regular intervals. The report becomes a longitudinal biomarker in the client's record — a brain-side complement to metabolic and cardiovascular markers that longevity and lifestyle medicine practices already track.

qEEG normative methodology

The scientific and statistical foundations of qEEG normative databases — how reference populations are constructed, how z-score comparisons are derived, and what acquisition standardization requirements support valid inter-session comparison.

Thatcher & Lubar, Introduction to Quantitative EEG and Neurofeedback (Academic Press, 2009)

Why EEG and Hemodynamic Sensing Together

EEG captures temporal precision — changes in brain electrical activity that unfold in milliseconds. Near-infrared hemodynamic sensing adds spatial and metabolic context: the blood oxygenation response that reflects which regions are most active and how they recover. The two signals are complementary rather than redundant. BrainMod's dual-modality sensing is designed to give the adaptive engine a richer real-time state picture than either channel provides alone — and to provide clinicians with a more complete longitudinal neurophysiological record.

References

1
Arns M, de Ridder S, Strehl U, Breteler M, Coenen A.
Efficacy of neurofeedback treatment in ADHD: The effects on inattention, impulsivity and hyperactivity: A meta-analysis.
Clinical EEG and Neuroscience. 2009;40(3):180–189.
10.1177/155005940904000311
2
Zoefel B, Huster RJ, Herrmann CS.
Neurofeedback training of the upper alpha frequency band in EEG improves cognitive performance.
NeuroImage. 2011;54(2):1427–1431.
10.1016/j.neuroimage.2010.08.078
3
Cortese S, Ferrin M, Brandeis D, et al.
Neurofeedback for attention-deficit/hyperactivity disorder: Meta-analysis of clinical and neuropsychological outcomes from randomized controlled trials.
Journal of the American Academy of Child & Adolescent Psychiatry. 2016;55(6):444–455.
10.1016/j.jaac.2016.03.007
4
Thibault RT, Lifshitz M, Raz A.
The climate of neurofeedback: Scientific rigour and the perils of ideology.
Brain. 2016;139(Pt 4):e23.
10.1093/brain/awv395
5
Nitsche MA, Paulus W.
Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation.
Journal of Physiology. 2000;527(3):633–639.
10.1111/j.1469-7793.2000.t01-1-00633.x
6
Moffa AH, Martin D, Alonzo A, et al.
Efficacy and acceptability of transcranial direct current stimulation (tDCS) for major depressive disorder: An individual patient data meta-analysis.
Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2020;99:109836.
10.1016/j.pnpbp.2019.109836
7
Herrmann CS, Strüber D, Helfrich RF, Engel AK.
EEG oscillations: From correlation to causality.
International Journal of Psychophysiology. 2016;103:12–21.
10.1016/j.ijpsycho.2015.02.003
8
Thatcher RW, Lubar JF.
History of the scientific standards of QEEG normative databases.
Introduction to Quantitative EEG and Neurofeedback. 2009 (2nd ed.). Academic Press.
9
Kerson C, Sherman RA, Kozlowski GP.
Alpha suppression and symmetry training for generalized anxiety symptoms.
Journal of Neurotherapy. 2009;13(3):146–155.
10.1080/10874200903107405
Clinical evaluation

Speak with our clinical team.

If you're a medical director or clinical lead evaluating BrainMod, we'll connect you with our scientific advisory team — including our collaborators at the Paris Brain Institute — to walk through the evidence base, our validation methodology, and what early deployment data is showing.