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Poster C70 in Poster Session C - Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink
Functional Connectivity Classification in ECoG during Speech Perception and Production
Yasamin Esmaeili1, Amirhossein Khalilian-Gourtani1, Adeen Flinker1; 1New York University
Functional connectivity (FC) is a well established technique used to elucidate how different brain regions interact. However there are limited studies investigating these interactions in language processing. Here, we address this by leveraging human electrocorticography (ECoG) data during language perception and production. The high spatiotemporal resolution and signal-to-noise ratio of ECoG data, enable robust classification of connectivity patterns across different cognitive states spanning language perception through production using a multi-class Support Vector Machine (SVM) method. The results demonstrate dissociable cognitive states based on FC patterns, with some overlap between speech production and baseline states. Further, examining the model contributions (hyperplane boundaries) revealed unique spatial connections that characterize specific states. We find consistent patterns across participants, with distinct connectivity signatures for auditory perception, visual tasks, and speech production across peri-sylvian cortices. Taken together, this research highlights the potential of functional connectivity in advancing our understanding of language processing.
Keywords: Functional Connectivity Classification Speech Perception and Production Electrocorticography