Inside NIF: the Neural ElectroMagnetic Ontology (NEMO) - Dr. Gwen Frishkoff - Webinar

NIF Webinar - June 21st, 2011

"Ontology-based Analysis of Human Brain Activity; Recent work in the Development & Application of NEMO" was presented by Dr. Gwen Frishkoff, the Director of the NEMO consortium.

The goal of the NEMO project is to represent what we know about complex patterns in human event-related potentials. As discussed by Dr. Frishkoff, most neuroscientists and electrophysiologists can agree that there are 3 primary categories to analyze patterns in EEG and MEG data: Time, as the latency of peak positive or peak negative potentials, Space, as in scalp topography and function, the experimental context in which patterns are observed (i.e. presentation of visual stimulus).

The major problem in EEG and MEG data analysis, according to Dr. Fishkoff, is a lack of integration.  The NEMO project has a three tiered approach to this problem;

1) Develop a formal ontology for ERP domain concepts.
2) Create a suite of tools for automated-pattern extraction and ontology-based annotation for better data analysis.
3) Apply tools across datasets to prove applicability.

For more information, we invite you to view the full webinar here.