Millimeter Scale Localization of Auditory Event-Related Human Cerebral Cortex Based on Invasive EEG Analysis

Abstract

Human cerebral cortex has been divided into several regions, which are responsible for different neural activities. However, rapid and precise localization of event-related cortex areas has always been a basic theoretical problem in neuroscience research and clinical practice. In this study, 27 subjects were implanted with invasive electrodes in the brain for epilepsy treatment, and each position was unique. We induced and collected EEG signals based on the experimental paradigm composed of two kinds of name audio stimuli. After data preprocessing, we used the algorithm composed of RBF-SVM and EEGNet to classify and discriminate the two kinds of situations namely "task & rest" and "myself & other". After analysis, we found the cortex areas that judge whether to receive sound stimulation are different from those that recognize sound content, and the accuracy of the former is higher. Furthermore, the invasive method and algorithms can locate millimeter-scale event-related cortical points on the basis of locating the cerebral cortex region. We believe our results can make an important contribution to exploring the mysteries of the human brain and providing clinical suggestions.