Determining Information Connectivity of Multiple Brain Areas From EEG: Methods and ApplicationsName : Dr. Philip M. Zeman
Affliation : Professor
University : University of Victoria
Country : Canada
Increasingly, there is a trend to use features buried in electroencephalographic (EEG) data as risk markers for neuropsychiatric and neurodegenerative conditions, or to assess modulators of cognition. Further, as new mathematical tools reveal complex aspects of brain function, it has become increasingly important to represent brain function and clinically relevant features encoded in the EEG, in a way that can be easily understood by patients and non-technical persons.
The current work combines recent technological advances to represent brain activity encoded in the EEG in an intuitive way to make inferences from EEG data and communication of results easier. This work employs blind source separation of the EEG by way of a variant of Independent Component Analysis (ICA) that preserves correlations among sources, estimation of ICA-derived EEG source locations and volumes using Beamforming, estimation of coordination among brain sources via coherence, and 3D and 2D visualisation of these methods. These methods are combined to create data-driven models of brain function that illustrate coordination among distinct areas of the brain that support cognition.
Data-driven models of brain function corresponding to Spatial Navigation Cognition were generated using EEG recorded while participants navigated a computer-based 1st-person perspective environment. Significant differences in activation and coordination were found among conditions and were represented in the model. Further work shall investigate application of this technology in: investigations of pharmaceutical effect on cognition, tracking brain injury recovery versus compensation, and EEG-based risk markers.
Dr. Zeman completed a Computer Engineering Bachelor’s degree at the University of Victoria in 2000. Subsequently he worked in the San Francisco Bay Area as a consumer product design contractor. In 2009 he completed an interdisciplinary Ph.D. at the University of Victoria, furthering his technical knowledge of advanced signal processing methods and statistics, as well as studying topics in neurobiology, clinical psychology, and experimental psychology. Zeman currently runs a private research company specializing in bringing promising university-identified EEG-based risk marker technologies to market. He is currently seeking partners for bringing EEG-based Alzheimer’s and Schizophrenia markers to market.