title: Removal of muscle artifacts from EEG recordings of spoken language production.
abstract: Research on the neural basis of language processing has often avoided investigating spoken language production by fear of the electromyographic (EMG) artifacts that articulation induces on the electro-encephalogram (EEG) signal. Indeed, such articulation artifacts are typically much larger than the brain signal of interest. Recently, a Blind Source Separation technique based on Canonical Correlation Analysis was proposed to separate tonic muscle artifacts from continuous EEG recordings in epilepsy. In this paper, we show how the same algorithm can be adapted to remove the short EMG bursts due to articulation on every trial. Several analyses indicate that this method accurately attenuates the muscle contamination on the EEG recordings, providing to the neurolinguistic community a powerful tool to investigate the brain processes at play during overt language production.
authors.affiliation: Department of Electrical Engineering (ESAT), Katholieke Universiteit Leuven, Leuven, Belgium. maarten.devos@gmail.com
authors.forename: Maarten
authors.initials: M
authors.lastname: De Vos
authors.forename: De Maarten
authors.initials: de M
authors.lastname: Vos
authors.forename: Stephanie
authors.initials: S
authors.lastname: Riès
authors.forename: Katrien
authors.initials: K
authors.lastname: Vanderperren
authors.forename: Bart
authors.initials: B
authors.lastname: Vanrumste
authors.forename: Francois-Xavier
authors.initials: FX
authors.lastname: Alario
authors.forename: Sabine
authors.initials: S
authors.lastname: Van Huffel
authors.forename: Van Sabine
authors.initials: VS
authors.lastname: Huffel
authors.forename: Boris
authors.initials: B
authors.lastname: Burle
mesh_terms: D000328:Adult; D000465:Algorithms; D016477:Artifacts; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D004576:Electromyography / Q000379:methods; D005071:Evoked Potentials; D005260:Female; D006801:Humans; D007802:Language; D008297:Male; D018482:Muscle, Skeletal / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D013060:Speech / Q000502:physiology*; D013997:Time Factors; D055815:Young Adult