ElMindA’s BNA™ technology is based on non-invasive recordings of multi-channel EEG event-related potentials (ERPs), and a comprehensive multi-dimensional analysis of such recordings by advanced algorithms, aimed at understanding and visualizing the network complexity (or Brain Networks Activation patterns) of brain function, dysfunction, disease progression and response to therapeutic interventions. BNA™ takes cognitive-electrophysiology (ERPs), a direct measure of neural activity associated with cognitive function, to a new frontier, unparalleled by EEG, QEEG or ERP alone or by any other anatomic and functional brain imaging and evaluation tools.
The BNA™ algorithms use innovative sets of signal processing and pattern recognition techniques to seek and map activated neural pathways in task-related data points with respect to time, location, amplitude and frequency. By projecting the individual data points into clusters, BNA™ reveals three-dimensional images of Brain Network Activation patterns (or BNAs in short) which represent high resolution functional neural pathways. These BNA™ network patterns and scores can aid clinicians with profiling of brain functionality, changes in functionality and/or dysfunctionality and can assist follow-up of changes in disease progression and/or response to therapeutic interventions.