BNA™ leverage machine-learning, advanced algorithms, and large-population databases to provide a revolutionary new way to understand how the brain’s neural networks are activated and inform about brain function.
BNA™ processes post-hoc neural patterns of time, location, amplitude and frequency data points in the brain related to specific functions evoked by repeatable tasks to create high-resolution, three-dimensional representations of the functional neural pathways that are activated in response to those tasks and represent specific brain functions such as sensory processing, attention and memory.
By comparing a patient’s test results to their previous healthy-state baseline – or to a Reference Brain Network Model (RBNM) generated from an extensive population database – BNA™ can give physicians a unique perspective on brain function not available through traditional methods. These include:
- snapshot mapping of brain network function in comparison to a healthy/normative group;
- the ability to compare multiple tests over time;
- objective information to assist with better-informed medical decisions.