Rchr
J-GLOBAL ID：201601001040190970
Update date: Feb. 04, 2024
Fukuma Ryohei
フクマ リョウヘイ | Fukuma Ryohei
Affiliation and department：
Research field (1)：
Neuroscience - general
Research theme for competitive and other funds (4)：
- 2022 - 2024 皮質脳波の非線形ダイナミクスを用いたリアルタイム脳情報解読
- 2020 - 2023 脳深部刺激術におけるclosed-loop systemの応用と脳機能解析
- 2020 - 2023 Identifying the electrical fingerprint of epileptic network
- 2020 - 2022 Improvement of decoding accuracy of visual stimulus using deep learning and ECoG big data
Papers (56)：
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Yusuke Watanabe, Yuki Miyazaki, Masahiro Hata, Ryohei Fukuma, Yasunori Aoki, Hiroaki Kazui, Toshihiko Araki, Daiki Taomoto, Yuto Satake, Takashi Suehiro, et al. A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study. Neural Networks. 2024. 171. 242-250
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Nobuyuki Izutsu, Takufumi Yanagisawa, Ryohei Fukuma, Haruhiko Kishima. Magnetoencephalographic neurofeedback training decreases β-low-γ phase-amplitude coupling of the motor cortex of healthy adults: A double-blinded randomized crossover feasibility study. Journal of Neural Engineering. 2023. 20. 3. 036005-036005
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Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Masataka Tanaka, Okito Yamashita, Koichi Hosomi, Haruhiko Kishima, Yukiyasu Kamitani, Youichi Saitoh. Neurofeedback Training without Explicit Phantom Hand Movements and Hand-Like Visual Feedback to Modulate Pain: A Randomized Crossover Feasibility Trial. The Journal of Pain. 2022. 23. 12. 2080-2091
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Yuya Fujita, Takufumi Yanagisawa, Ryohei Fukuma, Natsuko Ura, Satoru Oshino, Haruhiko Kishima. Abnormal phase-amplitude coupling characterizes the interictal state in epilepsy. Journal of neural engineering. 2022. 19. 2
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Ryohei Fukuma, Takufumi Yanagisawa, Shinji Nishimoto, Hidenori Sugano, Kentaro Tamura, Shota Yamamoto, Yasushi Iimura, Yuya Fujita, Satoru Oshino, Naoki Tani, et al. Voluntary control of semantic neural representations by imagery with conflicting visual stimulation. Communications biology. 2022. 5. 1. 214-214
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MISC (46)：
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柳澤 琢史, 畑 真弘, 渡邊 裕亮, 福間 良平, 青木 保典, 數井 裕光, 宮崎 友希, 石井 良平, 吉山 顕次, 貴島 晴彦, et al. 認知症研究の最前線 安静時脳波による認知症の自動診断. 臨床神経生理学. 2023. 51. 5. 438-438
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栁澤 琢史, 福間 良平, 西本 伸志, 菅野 秀宣, 田村 健太郎, 飯村 康司, 山本 祥太, 押野 悟, 谷 直樹, 神谷 之康, et al. 想起型Brain-Computer Interfaceの開発-Development of imagery-based Brain-Computer Interface-第61回日本定位・機能神経外科学会 優秀演題論文. 機能的脳神経外科 : 日本定位・機能神経外科学会機関誌 = Functional neurosurgery : official journal of the Japan Society for Stereotactic and Functional Neurosurgery / 日本定位・機能神経外科学会事務局 編. 2022. 61. 35-41
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田中將貴, 柳澤琢史, 福間良平, 谷直樹, 押野悟, 三原雅史, 服部憲明, 梶山裕太, 橋本亮太, 池田学, et al. 脳磁図を用いたパーキンソン病の位相振幅カップリングの評価. 日本脳神経CI学会総会プログラム・抄録集. 2022. 45th
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柳澤琢史, 柳澤琢史, 柳澤琢史, 福間良平, 福間良平, 西本伸志, 菅野秀宣, 田村健太郎, 飯村康司, 山本祥太, et al. Exploration of neural representation from epilepsy surgery. 日本てんかん外科学会プログラム・抄録集. 2020. 44th
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柳澤琢史, 柳澤琢史, 畑真弘, 三浦慎平, 福間良平, 石井良平, 吉山顕次, 池田学, 貴島晴彦. 精神神経疾患の脳波による診断技術の開発. 臨床神経生理学(Web). 2020. 48. 5
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Patents (4)：
Awards (1)：
- 2022/10 - The Nominees for 2022, Voluntary control of semantic neural representations by imagery with conflicting visual stimulation, The Annual BCI Research Award 2022.
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