Title :
Functional Brain Networks for Sensory Maintenance in Top-Down Selective Attention to Audiovisual Inputs
Author :
Xiangfei Hong ; Junfeng Sun ; Shanbao Tong
Author_Institution :
Sch. of Biomed. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
Sensory maintenance in top-down selective attention to audiovisual inputs involves distributed cortical activations, while the connectivity between the widespread cortical regions has not been well understood. Graph theory has been demonstrated to be a useful tool in the analysis of brain networks. In this study, we used graph theoretical analysis to investigate the functional brain networks for sensory maintenance in top-down selective attention to audiovisual inputs. Electroencephalograms (EEGs) of 30 channels were recorded from 13 young healthy subjects during a passive view task and a top-down intersensory selective attention task. Phase synchronization indices of EEG signals in pair were computed to construct weighted brain networks. We found small-world properties of the brain networks during both passive view state and top-down selective attentional state in α, β, and γ bands. In addition, the significantly increased clustering coefficient and decreased characteristic path length were observed for brain networks during attentional state compared with passive view state in both β band and γ band. Our results suggest that functional brain networks in higher frequency bands, i.e., β band and γ band, are integrated in different ways during attentional state compared with passive view state.
Keywords :
brain; electroencephalography; graph theory; medical image processing; neurophysiology; EEG; audiovisual input; clustering coefficient; cortical activation; down intersensory selective attention task; electroencephalogram; functional brain networks; graph theoretical analysis; passive view state; phase synchronization indices; sensory maintenance; top-down selective attention; Brain network; electroencephalogram (EEG); graph theory; intersensory attention; sensory maintenance; Acoustic Stimulation; Algorithms; Analysis of Variance; Attention; Cluster Analysis; Data Interpretation, Statistical; Electroencephalography; Electroencephalography Phase Synchronization; Female; Fixation, Ocular; Hearing; Humans; Male; Models, Neurological; Nerve Net; Photic Stimulation; Psychomotor Performance; Sensation; Vision, Ocular; Young Adult;
Journal_Title :
Neural Systems and Rehabilitation Engineering, IEEE Transactions on
DOI :
10.1109/TNSRE.2013.2272219