Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

Vos, De Maarten; Riès, Stéphanie; Vanderperren, Katrien; Vanrumste, Bart; Alario, F.‐Xavier; Huffel, Van Sabine; Burle, Borı́s

doi:10.1007/s12021-010-9071-0

Cited by 121 publications

(80 citation statements)

References 39 publications

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“…A potentially suitable algorithm based on blind source separation was presented by De Vos et al. (2010) for the removal of tonic muscle activity from EEG recorded during spoken language.…”

Section: Discussionmentioning

confidence: 99%

Poor motor function is associated with reduced sensory processing after stroke

et al. 2015

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The possibility to regain motor function after stroke depends on the intactness of motor and sensory pathways. In this study, we evaluated afferent sensory pathway information transfer and processing after stroke with the coherence between cortical activity and a position perturbation (position-cortical coherence, PCC). Eleven subacute stroke survivors participated in this study. Subjects performed a motor task with the affected and non-affected arm while continuous wrist position perturbations were applied. Cortical activity was measured using EEG. PCC was calculated between position perturbation and EEG at the contralateral and ipsilateral sensorimotor area. The presence of PCC was quantified as the number of frequencies where PCC is larger than zero across the sensorimotor area. All subjects showed significant contralateral PCC in affected and non-affected wrist tasks. Subjects with poor motor function had a reduced presence of contralateral PCC compared with subjects with good motor function in the affected wrist tasks. Amplitude of significant PCC did not differ between subjects with good and poor motor function. Our results show that poor motor function is associated with reduced sensory pathway information transfer and processing in subacute stroke subjects. Position-cortical coherence may provide additional insight into mechanisms of recovery of motor function after stroke.

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“…A potentially suitable algorithm based on blind source separation was presented by De Vos et al. (2010) for the removal of tonic muscle activity from EEG recorded during spoken language.…”

Section: Discussionmentioning

confidence: 99%

Poor motor function is associated with reduced sensory processing after stroke

et al. 2015

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“…In contrast, EEG and MEG are well suited to describing the millisecond temporal dynamics of neurological processes and have been instrumental in our current understanding of the cognitive, linguistic and perceptual neurological mechanisms of speech. Unfortunately, both of these methods are susceptible to electromagnetic artifacts from the muscular activation of orofacial muscles used for speech production, which limits studies of speech production to mostly examining pre-vocalization processes [10, 11], or covert speech production [12] with limited investigations during overt production [13–16], though recent computational advances in blind source separation are making it more feasible to investigate overt speech production using EEG and MEG [17]. In summary, these limitations make it difficult to simultaneously observe the combined spatial and temporal dynamics during the production of words, in particular for continuously varying speech found in the production of sentences.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task

et al. 2016

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How the human brain plans, executes, and monitors continuous and fluent speech has remained largely elusive. For example, previous research has defined the cortical locations most important for different aspects of speech function, but has not yet yielded a definition of the temporal progression of involvement of those locations as speech progresses either overtly or covertly. In this paper, we uncovered the spatio-temporal evolution of neuronal population-level activity related to continuous overt speech, and identified those locations that shared activity characteristics across overt and covert speech. Specifically, we asked subjects to repeat continuous sentences aloud or silently while we recorded electrical signals directly from the surface of the brain (electrocorticography (ECoG)). We then determined the relationship between cortical activity and speech output across different areas of cortex and at sub-second timescales. The results highlight a spatio-temporal progression of cortical involvement in the continuous speech process that initiates utterances in frontal-motor areas and ends with the monitoring of auditory feedback in superior temporal gyrus. Direct comparison of cortical activity related to overt versus covert conditions revealed a common network of brain regions involved in speech that may implement orthographic and phonological processing. Our results provide one of the first characterizations of the spatiotemporal electrophysiological representations of the continuous speech process, and also highlight the common neural substrate of overt and covert speech. These results thereby contribute to a refined understanding of speech functions in the human brain.

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“…Methodological difficulties linked to articulatory electromyographic activity in the EEG signal had previously prevented the study of the Ne in correct utterances. These were overcome using a blind-source separation algorithm based on canonical correlation analysis (BSS-CCA, De Clercq et al, 2006; De Vos et al, 2010). Critically, recent work has revealed the Ne in errors and in correct trials emerges before vocal onset (Riès et al, 2011); it starts to rise before auditory feedback can be perceived.…”

Section: Introductionmentioning

confidence: 99%

Role of the lateral prefrontal cortex in speech monitoring

Riès

Xie

Haaland

et al. 2013

Front. Hum. Neurosci.

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The role of lateral prefrontal cortex (LPFC) in speech monitoring has not been delineated. Recent work suggests that medial frontal cortex (MFC) is involved in overt speech monitoring initiated before auditory feedback. This mechanism is reflected in an event-related potential (ERP), the error negativity (Ne), peaking within 100 ms after vocal-onset. Critically, in healthy individuals the Ne is sensitive to the accuracy of the response; it is larger for error than correct trials. By contrast, patients with LPFC damage are impaired in non-verbal monitoring tasks showing no amplitude difference between the Ne measured in correct vs. error trials. Interactions between the LPFC and the MFC are assumed to play a necessary role for normal action monitoring. We investigated whether the LPFC was involved in speech monitoring to the same extent as in non-linguistic actions by comparing performance and EEG activity in patients with LPFC damage and in aged-matched controls performing linguistic (Picture Naming) and non-linguistic (Simon) tasks. Controls did not produce enough errors to allow the comparison of the Ne or other ERP in error vs. correct trials. PFC patients had worse performance than controls in both tasks, but their Ne was larger for error than correct trials only in Naming. This task-dependent pattern can be explained by LPFC-dependent working-memory requirements present in non-linguistic tasks used to study action monitoring but absent in picture naming. This suggests that LPFC may not be necessary for speech monitoring as assessed by simple picture naming. In addition, bilateral temporal cortex activity starting before and peaking around vocal-onset was observed in LPFC and control groups in both tasks but was larger for error than correct trials only in Naming, suggesting the temporal cortex is associated with on-line monitoring of speech specifically when access to lexical representations is necessary.

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Removal of Muscle Artifacts from EEG Recordings of Spoken Language Production

Cited by 121 publications

References 39 publications

Poor motor function is associated with reduced sensory processing after stroke

Poor motor function is associated with reduced sensory processing after stroke

Spatio-Temporal Progression of Cortical Activity Related to Continuous Overt and Covert Speech Production in a Reading Task

Role of the lateral prefrontal cortex in speech monitoring

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