TY - GEN
T1 - Comparison of Visual Cortex Functional Connectivity Patterns Based on Steady-state Monochromatic Flicker and Oscillating Checkerboard Visual Stimulus
AU - Han, Xing Liang
AU - Xie, Jun
AU - Luo, Ai Ling
AU - Xu, Guang Hua
AU - Zhang, Xiao Dong
AU - Wang, Jing
AU - Li, Min
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/20
Y1 - 2018/8/20
N2 - Steady-state visual evoked potential (SSVEP) and steady-state motion visual evoked potential (SSMVEP) are commonly implemented in brain computer interfaces (BCIs). The primary visual system is believed to consist of two pathways: a ventral pathway involved with conscious perception and a dorsal pathway for moving visual information processing. In this paper, as monochromatic flicker and oscillating checkerboard served as distinct stimuli for the elicit of SSVEP and SSMVEP respectively, we investigated functional connectivity patterns of SSVEP and SSMVEP by applying directed transfer function (DTF) to electroencephalography (EEG) signals. The value of flow gain, which is defined as the ratio of outflow to inflow of information flows in one channel, was used to measure the activating level of specific brain region in the information transmission process. We found that the occipital region was strongly activated by flicker stimulation whereas the strongest response of oscillating checkerboard was in the middle temporal visual region. Owing to the difference of activating area, fourteen-channel canonical correlation analysis (CCA) was also applied to compare the recognition accuracy. Results indicated that, due to the wider area activated by oscillating checkerboard, it achieved a higher recognition performance with short response time when compared to monochromatic flicker.
AB - Steady-state visual evoked potential (SSVEP) and steady-state motion visual evoked potential (SSMVEP) are commonly implemented in brain computer interfaces (BCIs). The primary visual system is believed to consist of two pathways: a ventral pathway involved with conscious perception and a dorsal pathway for moving visual information processing. In this paper, as monochromatic flicker and oscillating checkerboard served as distinct stimuli for the elicit of SSVEP and SSMVEP respectively, we investigated functional connectivity patterns of SSVEP and SSMVEP by applying directed transfer function (DTF) to electroencephalography (EEG) signals. The value of flow gain, which is defined as the ratio of outflow to inflow of information flows in one channel, was used to measure the activating level of specific brain region in the information transmission process. We found that the occipital region was strongly activated by flicker stimulation whereas the strongest response of oscillating checkerboard was in the middle temporal visual region. Owing to the difference of activating area, fourteen-channel canonical correlation analysis (CCA) was also applied to compare the recognition accuracy. Results indicated that, due to the wider area activated by oscillating checkerboard, it achieved a higher recognition performance with short response time when compared to monochromatic flicker.
UR - https://www.scopus.com/pages/publications/85053530114
U2 - 10.1109/URAI.2018.8441841
DO - 10.1109/URAI.2018.8441841
M3 - 会议稿件
AN - SCOPUS:85053530114
SN - 9781538663349
T3 - 2018 15th International Conference on Ubiquitous Robots, UR 2018
SP - 732
EP - 736
BT - 2018 15th International Conference on Ubiquitous Robots, UR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Ubiquitous Robots, UR 2018
Y2 - 27 June 2018 through 30 June 2018
ER -