Research on cortical adaptation by neural feedback in multi-channel BMI environment

• Project/Area Number: 15H03049
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Rehabilitation science/Welfare engineering
• Research Institution: National Institute of Information and Communications Technology
• Principal Investigator: Suzuki Takafumi 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 室長 (50302659)
• Co-Investigator(Kenkyū-buntansha): 田村 弘 大阪大学, 生命機能研究科, 准教授 (80304038)
• Co-Investigator(Renkei-kenkyūsha): ANDO Hiroshi 国立研究開発法人情報通信研究機構, 脳情報通信融合研究センター脳情報通信融合研究室, 主任研究員 (00638794)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Project Status: Completed (Fiscal Year 2017)
• Budget Amount: ¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000); Fiscal Year 2017: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2016: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2015: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
• Keywords: ブレインマシンインタフェース / 神経電極

Outline of Final Research Achievements

In the research field of Brain-Machine Interface (BMI), it has been known that the nervous system is able to adapt to the new body environment when it is connected to external devices through a brain-machine interface system. The purpose of this research is to develop an experimental system by integrating a super multi-channel BMI technologies and to study the property of the cortical adaptation. In this rearch, (1) we developed an experimental BMI system including evaluation of high density flexible surface electrode array, and then (2) we studied the property of cortical adaptation using animal models which control an external device by BMI using high gammma band power of electrocorticogram signal.

Research Products

• [Journal Article] High Spatiotemporal Resolution ECoG Recording of Somatosensory Evoked Potentials with Flexible Micro-Electrode Arrays (2017)
  • Author(s): Kaiju Taro、Doi Keiichi、Yokota Masashi、Watanabe Kei、Inoue Masato、Ando Hiroshi、Takahashi Kazutaka、Yoshida Fumiaki、Hirata Masayuki、Suzuki Takafumi
  • Journal Title: Frontiers in Neural Circuits Volume: 11 Pages: 1-13
  • DOI: 10.3389/fncir.2017.00020
  • Peer Reviewed / Open Access / Int'l Joint Research
• [Presentation] Brain-machine interface using electrocorticography (2017)
  • Author(s): Takafumi Suzuki
  • Organizer: Yamada Symposium
  • Invited
• [Presentation] 皮質脳波ブレインマシンインタフェース－システム開発と神経科学的課題－ (2017)
  • Author(s): 鈴木隆文
  • Organizer: 電子情報通信学会CSS研究会
  • Invited
• [Presentation] Cortical plasticity observed in an electrocorticography-based motor brain-machine interface task (2017)
  • Author(s): Kaiju Taro, Yokota Masashi, Inoue Masato, Masayuki Hirata, Suzuki Takafumi
  • Organizer: The 47th annual meeting of Society for Neuroscience(Neuroscience 2017)
  • Int'l Joint Research
• [Presentation] Induction of electrocorticography patterns via operant conditioning using a BMI self-feeding task (2017)
  • Author(s): Kaiju Taro, Yokota Masashi, Inoue Masato, Masayuki Hirata, Suzuki Takafumi
  • Organizer: Real-Time Functional Imaging and Neurofeedback 2017
  • Int'l Joint Research