Title :
Early Cortical Connective Network Relating to Audiovisual Stimulation by Partial Directed Coherence Analysis
Author :
Sun, Yu ; Zhang, Hong ; Feng, Ting ; Qiu, Yihong ; Zhu, Yisheng ; Tong, Shanbao
Author_Institution :
Dept. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Cross-modal sensory integration between the auditory and visual systems has long been a topic of interest in cognitive neuroscience, but spatiotemporal cortical interdependence under audiovisual stimulation is still poorly understood. In this letter, parametric spectral analysis, specifically partial directed coherence (PDC), is used to study the cortical connective causal-interdependence network under audiovisual cognitive processes within the time window of the N1 component, i.e., 96-145 ms poststimulus in the event-related potential (ERP). A total of 13 subjects (age: 22.9 plusmn 0.8 years; male/female = 9/4) performed an audiovisual recognition task. Multichannel EEG signals were analyzed using an adaptive multivariate autoregressive model to identify causal influences between different cortical areas. Three different cortical connective networks were detected, and by comparing the cortical PDC network in the early cognitive process of audiovisual (VA) perception with that in unimodal situations (V or A), it was found that the left temporal cortex (TC) might be responsible for audiovisual integration. Such electrophysiological findings were highly consistent with previous functional neuroimaging results. Moreover, the results presented here show the dynamics of lateral causal influences during audiovisual integration.
Keywords :
auditory evoked potentials; autoregressive processes; cognition; electroencephalography; medical signal processing; spatiotemporal phenomena; visual evoked potentials; visual perception; adaptive multivariate autoregressive model; audiovisual cognitive process; audiovisual perception; auditory system; cortical connective causal-interdependence network; cross-modal sensory integration; electrophysiology; event-related potential; left temporal cortex; multichannel EEG signals; parametric spectral analysis; partial directed coherence; spatiotemporal cortical interdependence; visual system; Brain modeling; Electroencephalography; Enterprise resource planning; Neuroimaging; Neuroscience; Signal analysis; Signal processing; Spatiotemporal phenomena; Spectral analysis; Visual system; Adaptive multivariate autoregressive model (AMVAR); EEG; audiovisual integration; causal influences; partial directed coherence (PDC); Adult; Algorithms; Auditory Cortex; Auditory Perception; Brain Mapping; Computer Simulation; Electroencephalography; Evoked Potentials, Auditory; Evoked Potentials, Visual; Female; Humans; Male; Models, Neurological; Nerve Net; Visual Cortex; Visual Perception;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2009.2025966