The Neural Mechnism Of The MI-BCI Illiteracy Based On Structural MRI

Brain-computer interface(BCI) provides a non-muscular communication channel for person to the external device without the motor system. Brain-machine interface involves many disciplines, such as signal acquisition, feature classification, pattern recognition, etc. MI-BCI widely played a role in the actual application because of the noninvasive stability. About 20% of the people are illiteracy that cannot generate the rhythm characteristic signal, their performance of using the online system cannot be altered by increasing the time of the training. This article mainly compared the BCI illiteracy with control to discover the difference in brain structure and white matter fiber tract.Firstly, the design of the corresponding motor imagery paradigm by using multiple online and offline experiments to obtain the corresponding EEG data, then the data were tested for the ability to distinguish different kind of subjects cause we require many BCI illiteracy subjects. Corresponding mechanisms were studied based screening test conducted by structural MRI and resting functional MRI to obtain the data, this paper discuss mainly the structure of magnetic resonance.The next step, we define the two groups of participants, and then we compared the structure MRI. We found that the cortex thickness, surface area and numvert of medial occipito-temporal sulcus(collateral sulcus) and lingual sulcus in the left hemisphere are higher than the control. And the surface area and the numvert of the superior part of the precentral sulcus in the right hemisphere are larger in the control.In the end, the group level analysis was performed between the two groups of the connectivity of the white matter tracts. Our analysis revealed that the fiber tracts connectivity of the precentral、inferior frontal gyrus、superior frontal gyrus、rolandic operculum exhibited an excellent-positive correlation with the performance of the motor imagery. We apply the number or the weights of fibers between different regions of the brain to predict the capacity of motorimagery, supporting the previous studies about fronto-parietal network plays an important role in motor imagery. The fiber track of the caudate and precuneus also make a difference to motor imagery.