Progressive neural engagement within the IFG-pMTG circuit as gesture and speech entropy and MI advances

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Xuất bản năm:bioRxiv (Feb 11, 2025)
Tác giả chính: Zhao, Wanying
Tác giả khác: Li, Zhouyi, Li, Xiang, Du, Yi
Được phát hành:
Cold Spring Harbor Laboratory Press
Những chủ đề:
Truy cập trực tuyến:Citation/Abstract
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022 |a 2692-8205 
024 7 |a 10.1101/2022.11.23.517759  |2 doi 
035 |a 2760971121 
045 0 |b d20250211 
100 1 |a Zhao, Wanying 
245 1 |a Progressive neural engagement within the IFG-pMTG circuit as gesture and speech entropy and MI advances 
260 |b Cold Spring Harbor Laboratory Press  |c Feb 11, 2025 
513 |a Working Paper 
520 3 |a Semantic representation emerges from distributed multisensory modalities, yet a comprehensive understanding of the functional changing pattern within convergence zones or hubs integrating multisensory semantic information remains elusive. In this study, employing information-theoretic metrics, we quantified gesture and speech information, alongside their interaction, utilizing entropy and mutual information (MI). Neural activities were assessed via interruption effects induced by High-Definition transcranial direct current stimulation (HD-tDCS). Additionally, chronometric double-pulse transcranial magnetic stimulation (TMS) and high-temporal event-related potentials were utilized to decipher dynamic neural changes resulting from various information contributors. Results showed gradual inhibition of both inferior frontal gyrus (IFG) and posterior middle temporal gyrus (pMTG) as degree of gesture-speech integration, indexed by MI, increased. Moreover, a time-sensitive and staged progression of neural engagement was observed, evidenced by distinct correlations between neural activity patterns and entropy measures of speech and gesture, as well as MI, across early sensory and lexico-semantic processing stages. These findings illuminate the gradual nature of neural activity during multisensory gesture-speech semantic processing, shaped by dynamic gesture constraints and speech encoding, thereby offering insights into the neural mechanisms underlying multisensory language processing.Competing Interest StatementThe authors have declared no competing interest.Footnotes* Introduction is reorganized to clarify the rationale and relationship of three experiments; additional partial correlation results are added for all three experiments to account for the influence of the candidate numbers; Figure 1 and 5 are revised; discussion is revised to clarify the potential semantic control process. 
653 |a Transcranial magnetic stimulation 
653 |a Language 
653 |a Speech 
653 |a Neurosciences 
653 |a Event-related potentials 
653 |a Frontal gyrus 
653 |a Information processing 
653 |a Nervous system 
653 |a Sensory integration 
653 |a Entropy 
653 |a Magnetic fields 
653 |a Temporal gyrus 
700 1 |a Li, Zhouyi 
700 1 |a Li, Xiang 
700 1 |a Du, Yi 
773 0 |t bioRxiv  |g (Feb 11, 2025) 
786 0 |d ProQuest  |t Biological Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/2760971121/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u https://www.biorxiv.org/content/10.1101/2022.11.23.517759v4