Abstract: Brain has different cognition responses to the concealed information under visual and auditory stimuli, and this process involves the coordination and information flow between different regions. In this paper, based on the traditional visual stimuli for concealed information, we designed the video-audio synchronization test for comparison. For the defect in current research that mainly focus on the electrodes in central of the brain, we recorded the signals from the whole brain to reflect the neural activity of the brain. Firstly, we constructed the brain functional network using the visual and video-audio stimuli related potentials, then calculated the clustering coefficient and path length as the features of the signals, lastly, we build a quantum gated neural network as the classification for the features. The experimental results show that combining the characteristics of brain network with quantum neural network classifier, the concealed information can be indentified accurately, and the video-audio stimuli is better than visual stimuli.