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

Research Project

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
Project Status Completed (Fiscal Year 2017)
Budget Amount *help
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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 / 難治性てんかん / コネクティビティ解析 / グレンジャー因果性 / 迷走神経刺激(VNS)療法 / 経験的モード分解(EMD)
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.

Report

(5 results)
  • 2017 Annual Research Report   Final Research Report ( PDF )
  • 2016 Research-status Report
  • 2015 Research-status Report
  • 2014 Research-status Report
  • Research Products

    (15 results)

All 2018 2017 2016

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Open Access: 1 results) Presentation (11 results) (of which Int'l Joint Research: 10 results)

  • [Journal Article] ウェアラブルデバイスとスマートフォンを用いたてんかん発作予知技術2017

    • Author(s)
      藤原 幸一, 宮島 美穂,山川 俊貴
    • Journal Title

      Epilepsy

      Volume: 11 Pages: 7-13

    • NAID

      40021393720

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Development of Epileptic Seizure Prediction Technology by Integrating Multivariate Statistical Process Control and Heart Rate Variability Analysis2017

    • Author(s)
      藤原 幸一, 宮島 美穂, 鈴木 陽子,山川 俊貴, 加納 学
    • Journal Title

      Journal of The Society of Instrument and Control Engineers

      Volume: 56 Issue: 7 Pages: 526-529

    • DOI

      10.11499/sicejl.56.526

    • NAID

      130005825168

    • ISSN
      0453-4662, 1883-8170
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] 運転中の能動的行為によるドライバの覚醒維持効果と運転安全性2017

    • Author(s)
      伊部達朗, 平岡敏洋, 阿部恵里花, 藤原幸一,山川俊貴
    • Journal Title

      自動車技術会論文集

      Volume: 48 Pages: 463-469

    • NAID

      130006734236

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] ヘルスモニタリングのための心拍変動解析2017

    • Author(s)
      藤原幸一
    • Journal Title

      システム/制御/情報

      Volume: 61 Pages: 381-386

    • NAID

      130006516891

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Presentation] Generalized Epileptic Seizure Prediction and Mechanism Analysis by Using Heart Rate Variability2018

    • Author(s)
      Fumiya Sakane, Koichi Fujiwara, Miho Miyajima, Yoko Suzuki, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara
    • Organizer
      IEEE BHI 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Optimal Lead Selection Method for Improving Detection Rate of RRI from Multiple Leads Electrocardiogram2018

    • Author(s)
      Shun Sakai, Kento Shoji, Toshitaka Yamakawa, Tadashi Sakata, Yuichi Ueda
    • Organizer
      IEEE BHI 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Evaluating the Improvement Factor of R-Wave Detection Rate after Gain Readjustment2018

    • Author(s)
      Kento Shoji, Toshitaka Yamakawa, Koichi Fujiwara, Manabu Kano, Miho Miyajima, Tadashi Sakata, Yuichi Ueda
    • Organizer
      IEEE BHI 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Design of False Heart Rate Feedback System for Improving Game Experience2018

    • Author(s)
      Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Erika Abe, Manabu Kano
    • Organizer
      IEEE ICCE 2018
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani2017

    • Author(s)
      T. Yamakawa, K. Fujiwara, T. Hiraoka, M. Kano, Y. Sumi, F. Masuda, M. Matsuo, H. Kadotani
    • Organizer
      World Sleep Congress 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Missing RRIi Interpolation Algorithm Using Just-In-Time Modeling Framework and Its Application to HRV-Based Drowsy Driving Detection2017

    • Author(s)
      Koichi Fujiwara, T. Kinoshita, Keisuke Kamata, Toshitaka Yamakawa, Manabu Kano
    • Organizer
      World Sleep Congress 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of Skin Blood Flow Change in Recumbent Position using Surface-Type Photoplethysmography Sensor2017

    • Author(s)
      Sayaka Ogawa, Koichi Fujiwara, Toshitaka Yamakawa, Hiroshi Kadotani, Masahiro Matsuo, Manabu Kano
    • Organizer
      IEEE EMBC 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A New Infarction Detection Method based on Heart Rate Variability in Rat Middle Cerebral Artery Occlusion Model2017

    • Author(s)
      Tomonobu Kodama, Keisuke Kamata, Koichi Fujiwara, Manabu Kano, Toshitaka Yamakawa, Ichiro Yuki, Yuichi Murayama
    • Organizer
      IEEE EMBC 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Seizure Prediction and Mechanism Analysis of Generalized Epilepsy based on Heart Rate Variability2017

    • Author(s)
      Fumiya Sakane, Koichi Fujiwara, Miho Miyajima, Yoko Suzuki, Toshitaka Yamakawa, Manabu Kano, Taketoshi Maehara
    • Organizer
      IEEE EMBC 2017
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Applying Granger Causality and Graph Theory to Analysis of EEG Connectivity Change Caused by VNS2016

    • Author(s)
      T. Uchida, K. Fujiwara, T. Inoue, Y. Maruta, M. Kano, Y. Suzuzki
    • Organizer
      Annual Meeting of the American Epilepsy Society
    • Place of Presentation
      Houston
    • Year and Date
      2016-12-02
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] グレンジャー因果性とグラフ理論を用いた迷走神経刺激療法における脳波コネクティビティ変化解析2016

    • Author(s)
      内田剛志,藤原幸一,井上貴雄,丸田雄一,加納学,鈴木倫保
    • Organizer
      SCI 2016
    • Place of Presentation
      京都
    • Year and Date
      2016-05-25
    • Related Report
      2016 Research-status Report

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Published: 2014-04-04   Modified: 2019-03-29  

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