Intracranial electroencephalography (iEEG) recordings of individuals producing overt speech can present an acoustic-induced vibration artifact widespread across recording channels. This vibration artifact tracks the fundamental frequency (F0) of the participant's voice, encompassing the high-gamma frequency band, known to be involved in speech production and perception. Thus, for advancing our understanding of the neural control of speech production and develop reliable speech models, there is a need to account for acoustic-induced noise in iEEG signals.
Bush, A., Chrabaszcz, A., Peterson, V., Saravanan, V., Dastolfo-Hromack, C., Lipski, W. J., & Richardson, R. M. (2022). Differentiation of speech-induced artifacts from physiological high gamma activity in intracranial recordings. NeuroImage, 250, 118962. doi: https://doi.org/10.1016/j.neuroimage.2022.118962Â
Peterson, V., Vissani, M., Luo, S., Rabbani, Q., Crone, N. E., Bush, A., & Richardson, M. (2023). A supervised data-driven spatial filter denoising method for acoustic-induced artifacts in intracranial electrophysiological recordings. bioRxiv, 2023-04. doi: https://doi.org/10.1101/2023.04.05.535577
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