階層型分解法による脳機能マッピングについての検討

抄録

In this paper, brain functional mapping method by hierarchical decomposition analysis (HDA) is proposed. HDA is one of the multi-dimensional AR modeling methods and well-known for its validity to detect temporal lobe seizures. The author transforms the estimated AR model in the form of transfer function from the inner blood flow signal to the cerebral cortex. The signal for HDA is oxidized hemoglobin density HbO, which is measured by near infrared spectroscopy (NIRS). Comparing the 2 tasks which use arithmetic sense, the difference of brain activity becomes clear by proposed technique.