Color Science Seminar: Computational Methods for Understanding Brain Dynamics: Bridging EEG and fNIRS as Neuroscience Tools
Color Science Seminar
Computational Methods for Understanding Brain Dynamics: Bridging EEG and fNIRS as Neuroscience Tools
Dr. Marco Pinto Orellana
Postdoctoral Researcher
University of California, Irvine
Event Details: Understanding brain dynamics through multiple imaging modalities requires computational approaches that can capture information flows across different temporal and spatial scales. This research develops methodological frameworks built on metaheuristics, Bayesian statistics, spectral analysis, and graph theory to model information flows across brain regions and frequency bands. As part of the recent results, this presentation focuses on a multilevel analytical approach for high-frequency neural activity measured in electroencephalograms (EEGs): from uncertainty estimation in cross-frequency modulatory interactions to electrode-tissue interface modeling and from burst synchronization networks to multiple time-scale traveling waves analysis. These methods have shown promise in clinical applications, achieving receiver operating characteristic area under curve (ROC-AUC) values above 78% in identifying seizure onset zones across data from multiple centers. We discuss future work based on these foundations to describe electro-hemodynamic interactions measured through EEG and functional near-infrared spectroscopy (fNIRS) recordings in tasks.
Intended Audience: All are Welcome!
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