elminda’s BNA™ platform provides a non-invasive tool for the visualization and quantification of BNAs of specific brain functionalities. Specifically, BNA asked the question: is the electrophysiological reaction pattern of the subject brain to a specific neurocognitive task similar or dis-similar to that of the average healthy reference brain (RBNM – Reference Brain Network Analytics Model)?
The BNA™ platform architecture is based on three elements – a data acquisition site, a BNA™ analysis software; and data management and reporting tools.
Data acquisition site – As input data, BNATM utilizes electrophysiological measurements (EEG-ERP) recorded from a multi-channel EEG platform during the performance of a test that evokes specific brain functionalities.
This EEG-ERP platform can be deployed in any clinic or point of care, and can be operated by an EEG-trained technician. EEG-ERP is a well-established and well-understood technique used frequently in clinical and research settings. There are no limitations to the number of scans that can be taken, as EEG is completely non-invasive and non- radiating allowing for assessments at multiple time points and with multiple brain functionalities per subject.
BNA™ Analysis Software– Once the data collected at the data acquisition site it is uploaded into the BNATM analysis software, the data is analyzed and the predominant networks that were activated during the performance of each ERP task are mapped.
Data management and Reporting – the BNA™ Platform includes a comprehensive database and various advanced toolsets that enable the user to navigate in the BNA™ tests and results database.
BNA™ reports can be generated by the user for a specific patient. The BNA™ report details both quantitative and qualitative data in the form of graphs, score tables and brain maps.
Watch the BNA™ maps creation process: