Paper
20 February 2012 The oscillatory activities and its synchronization in auditory-visual integration as revealed by event-related potentials to bimodal stimuli
Jia Guo, Peng Xu, Li Yao, Hua Shu, Xiaojie Zhao
Author Affiliations +
Proceedings Volume 8291, Human Vision and Electronic Imaging XVII; 82911P (2012) https://doi.org/10.1117/12.905842
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
Neural mechanism of auditory-visual speech integration is always a hot study of multi-modal perception. The articulation conveys speech information that helps detect and disambiguate the auditory speech. As important characteristic of EEG, oscillations and its synchronization have been applied to cognition research more and more. This study analyzed the EEG data acquired by unimodal and bimodal stimuli using time frequency and phase synchrony approach, investigated the oscillatory activities and its synchrony modes behind evoked potential during auditory-visual integration, in order to reveal the inherent neural integration mechanism under these modes. It was found that beta activity and its synchronization differences had relationship with gesture N1-P2, which happened in the earlier stage of speech coding to pronouncing action. Alpha oscillation and its synchronization related with auditory N1-P2 might be mainly responsible for auditory speech process caused by anticipation from gesture to sound feature. The visual gesture changing enhanced the interaction of auditory brain regions. These results provided explanations to the power and connectivity change of event-evoked oscillatory activities which matched ERPs during auditory-visual speech integration.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jia Guo, Peng Xu, Li Yao, Hua Shu, and Xiaojie Zhao "The oscillatory activities and its synchronization in auditory-visual integration as revealed by event-related potentials to bimodal stimuli", Proc. SPIE 8291, Human Vision and Electronic Imaging XVII, 82911P (20 February 2012); https://doi.org/10.1117/12.905842
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KEYWORDS
Adaptive optics

Visualization

Brain

Electrodes

Electroencephalography

Information visualization

Mouth

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