Test Norms and Government and Medical Accreditation of Methodology

The Brain Resource International Database (BRID) used by the Brain Profiling Group represents the world's largest and most comprehensive standardized database of genomic, structural, psychophysiological, neuropsychological, and psychosocial variables with over 9000 normal and clinical datasets and over 2700 healthy normative control subjects.

This represents numbers and measures that are significantly greater and more comprehensive than competing databases (Gordon et al., 2005; Johnstone et al., 2005). Databases with smaller numbers should not be relied upon as these can lead to erroneous findings and associated errors in interpretation and treatment. With larger numbers findings become more stable and valid and are unlikely to appear due to chance.

In addition, the Brain Resource Company (BRC) assessment methodology is used in clinical and research applications throughout the world in South Africa, United Kingdom, Germany, Sweden, Netherlands, Belgium, Australia, United States, Israel, Canada, Indonesia and New Zealand.

The complete BRC test battery including EEG (ERP, qEEG) and associated analysis, psychological, neuropsychological (cognitive) tests and the normative database has FDA 510K clearance, which brings with it certification and approval for medical use by the United States Government Food and Drug Administration (FDA). In addition to meeting the call for a personalized medicine approach that has been recently called upon by the FDA (Woodcock, 2005). The United States Government Medicare Agency approves the use of and covers costs for the medical use of BRC neuropsychological (cognitive) test battery.

Therefore, the methodology meets the strictest of Federal Government criteria and is backed by decades of scientific and clinical research.

References

Gordon, E, Cooper, N, Rennie, C, Hermens, D, and Williams, LM (2005). Integrative neuroscience: the role of a standardized database. Clinical EEG & Neuroscience, 36(2), 64-75.

Johnstone, J, Gunkelman, J, and Lunt, J (2005). Clinical database development: characterization of EEG phenotypes. Clinical EEG & Neuroscience, 36(2), 99-107.

Woodcock, J (2005). Pharmacogenetics: on the road to 'personalized medicine'. FDA Consumer , 39 (6), 44-Dec.