Literature DB >> 27509898

Articulation Artifacts During Overt Language Production in Event-Related Brain Potentials: Description and Correction.

Guang Ouyang1,2,3, Werner Sommer4, Changsong Zhou5,6,7,8, Sabrina Aristei4, Thomas Pinkpank4, Rasha Abdel Rahman9.   

Abstract

Overt articulation produces strong artifacts in the electroencephalogram and in event-related potentials (ERPs), posing a serious problem for investigating language production with these variables. Here we describe the properties of articulation-related artifacts and propose a novel correction procedure. Experiment 1 co-recorded ERPs and trajectories of the articulators with an electromagnetic articulograph from a single participant. The generalization of the findings from the single participant to standard picture naming was investigated in Experiment 2. Both experiments provided evidence that articulation-induced artifacts may start up to 300 ms or more prior to voice onset or voice key onset-depending on the specific measure; they are highly similar in topography across many different phoneme patterns and differ mainly in their time course and amplitude. ERPs were separated from articulation-related artifacts with residue iteration decomposition (RIDE). After obtaining the artifact-free ERPs, their correlations with the articulatory trajectories dropped near to zero. Artifact removal with independent component analysis was less successful; while correlations with the articulatory movements remained substantial, early components prior to voice onset were attenuated in reconstructed ERPs. These findings offer new insights into the nature of articulation artifacts; together with RIDE as method for artifact removal the present report offers a fresh perspective for ERP studies requiring overt articulation.

Entities:  

Keywords:  Artefact correction; Electro-magneto articulography; Event-related potential; Language; Method; Residue iteration decomposition; Speech artifact; Speech production

Mesh:

Year:  2016        PMID: 27509898     DOI: 10.1007/s10548-016-0515-1

Source DB:  PubMed          Journal:  Brain Topogr        ISSN: 0896-0267            Impact factor:   3.020


  3 in total

Review 1.  Variation in the speech signal as a window into the cognitive architecture of language production.

Authors:  Audrey Bürki
Journal:  Psychon Bull Rev       Date:  2018-12

2.  The Effect of Lexical Cohort Size Is Independent of Semantic Context Effects in a Picture-Word Interference Task: A Combined ERP and sLORETA Study.

Authors:  Mingkun Ouyang; Xiao Cai; Qingfang Zhang
Journal:  Front Hum Neurosci       Date:  2019-12-20       Impact factor: 3.169

3.  Microstate ERP Analyses to Pinpoint the Articulatory Onset in Speech Production.

Authors:  Anne-Lise Jouen; Monica Lancheros; Marina Laganaro
Journal:  Brain Topogr       Date:  2020-11-08       Impact factor: 3.020

  3 in total

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