DATA PROCESSING METHOD OF FUNCTIONAL MAGNETIC RESONANCE IMAGING FOR BRAIN FUNCTIONAL TRAINING

摘要

PURPOSE: A functional magnetic resonance imaging data processing method for training brain function measures the neuroactivity rate in two or more interested areas, updating neuro feedback data in real time. CONSTITUTION: Two or more interested areas are set up (S100). A first measurement data is generated in the interested area (S200). Neuro feedback data is generated based on the first measurement data (S300). The neuro feedback data is provided to an experimentee (S400). The neuro feedback data is updated in real time based on a second measurement data (S500). [Reference numerals] (S100) Two or more interested areas are set up among multiple brain areas; (S200) First measurement data is created; (S300) Neurofeedback data is created; (S400) Neurofeedback data is provided; (S500) Second measurement data is created and the neurofeedback data is updated in real time based on the second measurement data; (S600) Evaluation data is created