DocumentCode :
662890
Title :
Source analysis of bimodal event-related potentials with auditory-visual stimuli
Author :
Hongyan Cui ; Xiaobo Xie ; Shengpu Xu ; Huifang Yan ; Li Feng ; Yong Hu
Author_Institution :
Inst. of Biomed. Eng., Peking Union Med. Coll., Tianjin, China
fYear :
2013
fDate :
6-8 Nov. 2013
Firstpage :
85
Lastpage :
88
Abstract :
Dipole source analysis is applied to model brain generators of surface-recorded evoked potentials, epileptiform activity, and event-related potentials (ERP). The aim of this study was to explore brain activity of interaction between bimodal sensory cognition. Seven healthy volunteers were recruited in the study and ERP to these stimuli were recorded by 64 electrodes EEG recording system. Subjects were exposed to either the auditory and the visual stimulus alone or the combined auditory-visual (AV) stimuli. The identification of brain areas of the EP was realized using CURRY 6.0 software. A source localization analysis was performed across conditions over initial, early and later temporal stages (i.e. 3 stimuli conditions × 3 temporal stages). The source locations across conditions were contrasted over similar time periods, indicating that source location of the bimodal auditory-visual (AV) stimuli differed from the sum of source locations from the auditory and the visual stimulus alone. These data provide evidence that there exists interplay in the brain in the bimodal auditory-visual stimuli paradigm.
Keywords :
auditory evoked potentials; biomedical electrodes; electroencephalography; medical signal processing; visual evoked potentials; 64 electrodes EEG recording system; CURRY 6.0 software; bimodal auditory-visual stimuli paradigm; bimodal event-related potentials; bimodal sensory cognition; brain activity; brain generators; dipole source analysis; epileptiform activity; event-related potentials; source localization analysis; surface-recorded evoked potentials; temporal stages; Brain modeling; Electric potential; Electrodes; Electroencephalography; Surface impedance; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
ISSN :
1948-3546
Type :
conf
DOI :
10.1109/NER.2013.6695877
Filename :
6695877
Link To Document :
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