THE BRAIN FUNCTION ANALYSIS (BFA) FRAMEWORK: A NEUROPHYSIOLOGICAL VALIDATION OF INTEGRATED QUANTITATIVE EEG (QEEG) METRICS

Abstract

Quantitative Electroencephalography (QEEG) is a powerful tool in neuroscience, but a gap exists between raw data and fragmented outcomes. The Brain Function Analysis (BFA) framework aims to bridge this gap through 11 key metrics of neurophysiological integration into a single and cohesive report. The objective of this paper is to provide a scientific validation in the BFA framework by reviewing 11 neurophysiological principles metrics. A literature review was conducted to examine the scientific basis for each metric. The review confirms all 11 metrics supported by decades of peer-reviewed research in neuroscience and psychophysiology. The paper demonstrates that these metrics serve as reliable indicators of cognitive processes and emotional states. In addition, the BFA Framework is scientifically credible and validates QEEG metrics into a holistic and interpretable profile. BFA Framework could become a valuable practitioner’s tool for data development and personalised interventions to support cognitive function and emotional well-being.