Correcting MEG Artifacts Caused by Overt Speech

被引:6
作者
Abbasi, Omid [1 ]
Steingraber, Nadine [1 ]
Gross, Joachim [1 ,2 ,3 ]
机构
[1] Univ Munster, Inst Biomagnetism & Biosignal Anal, Munster, Germany
[2] Univ Munster, Otto Creutzfeldt Ctr Cognit & Behav Neurosci, Munster, Germany
[3] Univ Glasgow, Ctr Cognit Neuroimaging, Glasgow, Lanark, Scotland
关键词
speech production; MEG; movement artifact; head movement; signal space projection; regression analysis; ELECTROMYOGENIC ARTIFACTS; DYNAMICS; CORTEX; EEG;
D O I
10.3389/fnins.2021.682419
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Recording brain activity during speech production using magnetoencephalography (MEG) can help us to understand the dynamics of speech production. However, these measurements are challenging due to the induced artifacts coming from several sources such as facial muscle activity, lower jaw and head movements. Here, we aimed to characterize speech-related artifacts, focusing on head movements, and subsequently present an approach to remove these artifacts from MEG data. We recorded MEG from 11 healthy participants while they pronounced various syllables in different loudness. Head positions/orientations were extracted during speech production to investigate its role in MEG distortions. Finally, we present an artifact rejection approach using the combination of regression analysis and signal space projection (SSP) in order to correct the induced artifact from MEG data. Our results show that louder speech leads to stronger head movements and stronger MEG distortions. Our proposed artifact rejection approach could successfully remove the speech-related artifact and retrieve the underlying neurophysiological signals. As the presented artifact rejection approach was shown to remove artifacts arising from head movements, induced by overt speech in the MEG, it will facilitate research addressing the neural basis of speech production with MEG.
引用
收藏
页数:14
相关论文
共 39 条
[1]   Rejecting deep brain stimulation artefacts from MEG data using ICA and mutual information [J].
Abbasi, Omid ;
Hirschmann, Jan ;
Schmitz, Georg ;
Schnitzler, Alfons ;
Butz, Markus .
JOURNAL OF NEUROSCIENCE METHODS, 2016, 268 :131-141
[2]   The right hemisphere is highlighted in connected natural speech production and perception [J].
Alexandrou, Anna Maria ;
Saarinen, Timo ;
Makela, Sasu ;
Kujala, Jan ;
Salmelin, Riitta .
NEUROIMAGE, 2017, 152 :628-638
[3]   A multimodal spectral approach to characterize rhythm in natural speech [J].
Alexandrou, Anna Maria ;
Saarinen, Timo ;
Kujala, Jan ;
Salmelin, Riitta .
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA, 2016, 139 (01) :215-226
[4]   Neocortical activity tracks the hierarchical linguistic structures of self -produced speech during reading aloud [J].
Bourguignon, Mathieu ;
Molinaro, Nicola ;
Lizarazu, Mikel ;
Taulu, Samu ;
Jousmaki, Veikko ;
Lallier, Marie ;
Carreiras, Manuel ;
De Tiege, Xavier .
NEUROIMAGE, 2020, 216
[5]   The Natural Statistics of Audiovisual Speech [J].
Chandrasekaran, Chandramouli ;
Trubanova, Andrea ;
Stillittano, Sebastien ;
Caplier, Alice ;
Ghazanfar, Asif A. .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (07)
[6]  
Chang YCC, 2018, FRONT NEURAL CIRCUIT, V12, DOI [10.3389/fnCir.2018.00038, 10.3389/fncir.2018.00038]
[7]   Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis [J].
Delorme, Arnaud ;
Sejnowski, Terrence ;
Makeig, Scott .
NEUROIMAGE, 2007, 34 (04) :1443-1449
[8]   Electroencephalographic activity over temporal brain areas during phonological encoding in picture naming [J].
Eulitz, C ;
Hauk, O ;
Cohen, R .
CLINICAL NEUROPHYSIOLOGY, 2000, 111 (11) :2088-2097
[9]   Brain oscillations and functional connectivity during overt language production [J].
Ewald, Arne ;
Aristei, Sabrina ;
Nolte, Guido ;
Rahman, Rasha Abdel .
FRONTIERS IN PSYCHOLOGY, 2012, 3
[10]   The use of electroencephalography in language production research: a review [J].
Ganushchak, Lesya Y. ;
Christoffels, Ingrid K. ;
Schiller, Niels O. .
FRONTIERS IN PSYCHOLOGY, 2011, 2