Eeg Temporal And Spatial Information Research

With the development of science and the deep study of human brain the no-invasive technology provides a powerful tool for us to investigate the function of brain. Electroencephalogram is extensively applied to study of clinic neurophysiology, and the temporal and spatial information is what we interest in. When we use the Event-related potentials (ERP) to study the visual spatial attention, by our directly observation of the visual ERP data, we can get that the main function of spatial attention is the modulation to visual signal processing. Directing attention to the location of a stimulus typically results in an amplitude enhancement of the P1 and N1 components evoked by that stimulus with little or no change in component latencies or scalp distributions. In this paper ,firstly, we apply spatiotemporal signal decomposition based on the theory of synergetics into visual ERP data investigation ,and the results show that attention can not only enhance the models component amplitude of P11﹑N11 and P21 ,but also shorten the P31's latencies . We use the searchlight model to make some preliminary explanations for these phenomena,, and show nonlinear dynamics course underlying this 'model'. So, the result shows that it is a new potential method of investigation attention ERP. Secondly, we study visual cognizant course of spatial location and shape by spatial microstates method .We draw a conclusion that the durative time of only spatial shape microstates corresponding cognizant component's N1, P2, P3 is longer than that of spatial location and shape And it proves that more power will be consumed in only spatial shape cognizant than that in spatial location and shape, as well as the microstates appear time of P3 in spatial location and shape cognizant is earlier than that in only spatial shape cognizant.At last, new 'mode' will be found in spatial shape cognizant.