Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous EEG-fMRI study

•Utilized simultaneous EEG-fMRI to compare the precise spatiotemporal brain dynamics between covert speech (CS) and overt speech (OS).•Identified earlier event-locked EEG activation in the left putamen for CS compared with OS.•Identified inhibited functional connectivity between the left putamen and...

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Published inNEUROIMAGE Vol. 293; p. 120629
Main Authors Zhang, Wei, Jiang, Muyun, Teo, Kok Ann Colin, Bhuvanakantham, Raghavan, Fong, LaiGuan, Sim, Wei Khang Jeremy, Guo, Zhiwei, Foo, Chuan Huat Vince, Chua, Rong Hui Jonathan, Padmanabhan, Parasuraman, Leong, Victoria, Lu, Jia, Gulyás, Balázs, Guan, Cuntai
Format Journal Article Publication
LanguageEnglish
Published United States Elsevier Inc 01.06.2024
Elsevier Limited
Elsevier
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Online AccessGet full text
ISSN1053-8119
1095-9572
1095-9572
DOI10.1016/j.neuroimage.2024.120629

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Abstract •Utilized simultaneous EEG-fMRI to compare the precise spatiotemporal brain dynamics between covert speech (CS) and overt speech (OS).•Identified earlier event-locked EEG activation in the left putamen for CS compared with OS.•Identified inhibited functional connectivity between the left putamen and speech-related regions in the dominant hemisphere for CS compared with OS.•Verified significant effect pathways from the spatiotemporal brain dynamics towards CS using path analysis. Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.
AbstractList Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.
Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.
•Utilized simultaneous EEG-fMRI to compare the precise spatiotemporal brain dynamics between covert speech (CS) and overt speech (OS).•Identified earlier event-locked EEG activation in the left putamen for CS compared with OS.•Identified inhibited functional connectivity between the left putamen and speech-related regions in the dominant hemisphere for CS compared with OS.•Verified significant effect pathways from the spatiotemporal brain dynamics towards CS using path analysis. Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and disorders. Reconstructing CS content by brain-computer interface (BCI) is also an emerging technique. However, it is still controversial whether CS is a truncated neural process of overt speech (OS) or involves independent patterns. Here, we performed a word-speaking experiment with simultaneous EEG-fMRI. It involved 32 participants, who generated words both overtly and covertly. By integrating spatial constraints from fMRI into EEG source localization, we precisely estimated the spatiotemporal dynamics of neural activity. During CS, EEG source activity was localized in three regions: the left precentral gyrus, the left supplementary motor area, and the left putamen. Although OS involved more brain regions with stronger activations, CS was characterized by an earlier event-locked activation in the left putamen (peak at 262 ms versus 1170 ms). The left putamen was also identified as the only hub node within the functional connectivity (FC) networks of both OS and CS, while showing weaker FC strength towards speech-related regions in the dominant hemisphere during CS. Path analysis revealed significant multivariate associations, indicating an indirect association between the earlier activation in the left putamen and CS, which was mediated by reduced FC towards speech-related regions. These findings revealed the specific spatiotemporal dynamics of CS, offering insights into CS mechanisms that are potentially relevant for future treatment of self-regulation deficits, speech disorders, and development of BCI speech applications.
ArticleNumber 120629
Author Fong, LaiGuan
Sim, Wei Khang Jeremy
Zhang, Wei
Jiang, Muyun
Padmanabhan, Parasuraman
Guo, Zhiwei
Gulyás, Balázs
Foo, Chuan Huat Vince
Chua, Rong Hui Jonathan
Teo, Kok Ann Colin
Guan, Cuntai
Leong, Victoria
Bhuvanakantham, Raghavan
Lu, Jia
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CitedBy_id crossref_primary_10_62762_TIS_2024_680959
crossref_primary_10_3390_brainsci15010004
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IsOpenAccess true
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IsScholarly true
Keywords Covert speech
Functional connectivity
Left putamen
Overt speech
Simultaneous EEG-fMRI
Language English
License This is an open access article under the CC BY license.
Copyright © 2024. Published by Elsevier Inc.
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Snippet •Utilized simultaneous EEG-fMRI to compare the precise spatiotemporal brain dynamics between covert speech (CS) and overt speech (OS).•Identified earlier...
Covert speech (CS) refers to speaking internally to oneself without producing any sound or movement. CS is involved in multiple cognitive functions and...
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StartPage 120629
SubjectTerms Aphasia
Biochips
Brain
Brain mapping
Cognitive ability
Computer applications
Covert speech
EEG
Electroencephalography
Experiments
Functional connectivity
Functional magnetic resonance imaging
Implants
Left putamen
Localization
Magnetic resonance imaging
Medical imaging
Neural networks
Neuroimaging
Overt speech
Precentral gyrus
Putamen
Scanners
Simultaneous EEG-fMRI
Speaking
Speech
Speech disorders
Supplementary motor area
Tomography
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Title Revealing the spatiotemporal brain dynamics of covert speech compared with overt speech: A simultaneous EEG-fMRI study
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