ANALYSIS OF BRAIN PATTERNS USING TEMPORAL MEASURES

摘要

The time series that one group of brain data represents nervous physiology activity obtain by the sensor arrangement that is spatially distributed at the neural signaling (such as by using magnetoencephalography) for detecting brain. Various brain data are handled to obtain dynamic brain model and be based on one group of statistical iteration time measure, such as partial cross-section correlation, the brain data of different time series in the set of grouping. It is close that dynamic brain model represents the time that the interaction between neural overall brain occurs, such as with zero-lag, such as. Dynamic brain model can be analyzed to obtain nervous physiology assessment brain. Data processing technique can be used to evaluate structural or neurochemical cerebral lesion.