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Poster C78 in Poster Session C - Friday, August 9, 2024, 11:15 am – 1:15 pm, Johnson Ice Rink
Exploring language network neural oscillations at the single-trial level
Mathias Huybrechts1 (), Alvincé Pongos2,3, Cory Shain2, Benjamin Lipkin2, Matthew Siegelman2,4, Vincent Wens5, Martin Sjøgård5, Dimitrios Pantazis2, Idan Blank2,6, Serge Goldman5, Xavier De Tiège5, Rose Bruffaerts1,2; 1University of Antwerp, 2Massachusetts Institute of Technology, 3UC Berkeley - UCSF, 4Columbia University, 5Université libre de Bruxelles, 6University of California Los Angeles
Frequency band activity levels may offer insight into the different neurobiological processes supporting real-time language comprehension. For instance, higher frequency bands such as gamma oscillations have been linked to the prediction of upcoming words during sentence reading, while lower frequency bands may be involved in word retrieval and the integration of meaning across the sentence. Such effects have mostly been studied by group analysis of separate frequency bands across multiple participants. Given the growing body of evidence documenting interindividual differences in the functional neuroanatomy of the language network, we here investigated the stability of single sentence analysis using magnetoencephalography. Forty-two participants (half tested in English, half in Dutch) performed a well-known sentence reading paradigm. The single trial analysis robustly demonstrates that the theta, alpha and beta band contribute to similar processing aspects of sentence reading. In addition, it opens the door for future work that relates the content of singular trials to their frequency band activation levels.
Keywords: Sentence comprehension Frequency analysis MEG