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

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• 作者：Guang Ouyang ; Werner Sommer ; Changsong Zhou ; Sabrina Aristei…
• 关键词：Event ; related potential ; Speech artifact ; Method ; Artefact correction ; Residue iteration decomposition ; Language ; Speech production ; Electro ; magneto articulography
• 刊名：Brain Topography
• 出版年：2016
• 出版时间：November 2016
• 年：2016
• 卷：29
• 期：6
• 页码：791-813
• 全文大小：4,351 KB
• 刊物类别：Biomedical and Life Sciences
• 刊物主题：Biomedicine
  Neurosciences
  Psychiatry
  Neurology
  
• 出版者：Springer New York
• ISSN：1573-6792
• 卷排序：29

文摘

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.