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Scientific article
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English

Observation and assessment of acoustic contamination of electrophysiological brain signals during speech production and sound perception

Published inJournal of Neural Engineering, vol. 17, no. 5, 056028
Publication date2020
Abstract

A current challenge of neurotechnologies is to develop speech brain-computer interfaces aiming at restoring communication in people unable to speak. To achieve a proof of concept of such system, neural activity of patients implanted for clinical reasons can be recorded while they speak. Using such simultaneously recorded audio and neural data, decoders can be built to predict speech features using features extracted from brain signals. A typical neural feature is the spectral power of field potentials in the high-gamma frequency band, which happens to overlap the frequency range of speech acoustic signals, especially the fundamental frequency of the voice. Here, we analyzed human electrocorticographic and intracortical recordings during speech production and perception as well as a rat microelectrocorticographic recording during sound perception. We observed that several datasets, recorded with different recording setups, contained spectrotemporal features highly correlated with those of the sound produced by or delivered to the participants, especially within the high-gamma band and above, strongly suggesting a contamination of electrophysiological recordings by the sound signal. This study investigated the presence of acoustic contamination and its possible source.

Funding
  • Swiss National Science Foundation - 167836
  • European Commission - 732032; 696656; 785219
Citation (ISO format)
ROUSSEL, Philémon et al. Observation and assessment of acoustic contamination of electrophysiological brain signals during speech production and sound perception. In: Journal of Neural Engineering, 2020, vol. 17, n° 5, p. 056028. doi: 10.1088/1741-2552/abb25e
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Article (Published version)
Identifiers
ISSN of the journal1741-2560
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