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2017 Fiscal Year Final Research Report

Development of method for predicting effect of VNS on epileptic seizure alleviation

Research Project

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Project/Area Number 26870314
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Basic / Social brain science
Medical systems
Research InstitutionKyoto University

Principal Investigator

Fujiwara Koichi  京都大学, 情報学研究科, 助教 (10642514)

Project Period (FY) 2014-04-01 – 2018-03-31
Keywordsてんかん / 脳波解析 / 迷走神経刺激療法 / コネクティビティ
Outline of Final Research Achievements

Vagus Nerve Stimulation (VNS) is treatment of refractory epilepsy; however, its physiological mechanism has not been fully understood. The mechanism of VNS needs to be investigated in order to avoid ineffective operations. Because an epileptic seizure is caused by the spread of excessive discharge from neurons in the cerebrum, analyzing effects of VNS on EEG would be useful for VNS mechanism investigation. The EEG data of epileptic patients with VNS were analyzed by using Granger Causality (GC) and the graph theory. In addition, a directed graph constructed from those GC values would express neural connection. The result supported the existing hypothesis indicating the bilateral asymmetry of the VNS effect on the brain, and furthermore, it suggested that VNS would increase neural connection between the frontal lobe and other brain regions, and that should control epileptic seizures by keeping patients awake.

Free Research Field

生体信号処理

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Published: 2019-03-29  

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