Yanagisawa Lab Yanagisawa Lab

JPEN

Takufumi Yanagisawa

Professor

Takufumi Yanagisawa

Email : tyanagisawa@nsurg.med.osaka-u.ac.jp
researchmapGoogle ScholarThe University of Osaka Researchers
 

Biography

  • Completed master’s degree in Physics at the Graduate School of Science and Engineering, Waseda University in 2000.
  • Graduated from the Faculty of Medicine, The University of Osaka in 2004.
  • Completed the Doctoral Program at the Graduate School of Medicine, The University of Osaka in 2009, earning a Ph.D. in Medicine.
  • After serving as a Specially Appointed Researcher in the Department of Neurosurgery, Graduate School of Medicine, The University of Osaka,
  • appointed as Assistant Professor in the Division of Functional Brain Imaging, Department of ・Health Sciences, Graduate School of Medicine, The University of Osaka in 2012.
  • Since 2016, served as Lecturer in the Department of Clinical Neuroengineering, Center for Information and Neural Engineering, The University of Osaka.
  • Appointed Professor at the Institute for Advanced Co-Creation Studies, The University of Osaka in April 2018.
  • Appointed Professor of Neuroinformatics in November 2024.
 

Journal Publications

Preprint

2025

  • Miyazaki Y, Hata M, Takahashi S, Fukuma R, Taomoto D, Satake Y, Suehiro T, Kanemoto H, Yoshiyama K, Matsunaga K, Isohashi K, Kishima H, Ikeda M, Yanagisawa T, Inferring amyloid pathologies among patients with mild cognitive impairment using phase‒amplitude coupling of electroencephalography: A case‒control study, International Psychogeriatrics, 2025
  • Van der Eerden JHM, Liu PC, Villalobos J, Yanagisawa T, Grayden DB, John SE, Decoding cortical responses from visual input using an endovascular brain-computer interface, Journal of Neural Engineering, 2025
  • Wang Y, Fukuma R, Seymour B, Yang H, Kishima H, Yanagisawa T, Neurofeedback modulation of insula activity via MEG Brain-Machine Interface: a double-blind cross-over randomized controlled trial, Communications Biology, 8(1):770, 2025 May 21
  • Iwata T, Yanagisawa T, Ikegaya Y, Fukuma R, Oshino S, Tani N, Khoo HM, Sugano H, Iimura Y, Suzuki H, Kishima H, Nocturnal synchronization between Cortical delta power and ripples in hippocampal sclerosis, Annals of clinical and translational neurology, 12(5):986-997, 2025 March 20

2024

  • Yokoyama H, Kaneko N, Usuda N, Kato T, Khoo HM, Fukuma R, Oshino S, Tani N, Kishima H, Yanagisawa T, Nakazawa K, M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model, APL bioengineering, 8(4):046104, 2024 December
  • Fukuma R, Majima K, Kawahara Y, Yamashita O, Shiraishi Y, Kishima H, Yanagisawa T, Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition, Communications Biology, 7:595, 2024 May 18
  • Iwata T, Yanagisawa T, Ikegaya Y, Smallwood J, Fukuma R, Oshino S, Tani N, Khoo HM, Kishima H, Hippocampal sharp-wave ripples correlate with naturally occurring self-generated thoughts in humans, Nature Communications, 15:4078, 2024 May 22
  • Ikegawa Y, Fukuma R, Sugano H, Oshino S, Tani N, Tamura K, Iimura Y, Suzuki H, Yamamoto S, Fujita Y, Nishimoto S, Kishima H, Yanagisawa T, Text and image generation from intracranial EEG using the CLIP embedding space, Journal of Neural Engineering, 21(3), 2024 May 20, Doi:10.1088/1741-2552/ad417a.
  • Watanabe Y, Miyazaki Y, Hata M, Fukuma R, Aoki Y, Kazui H, Araki T, Taomoto D, Satake Y, Suehiro T, Sato S, Kanemoto H, Yoshiyama K, Ishii R, Harada T, Kishima H, Ikeda M, Yanagisawa T, A deep learning model to detect various dementia pathologies based on resting-state electroencephalography data: A retrospective multicentre study, Neural Networks, 171:242-250, 2024 March

2023

  • Yang H, Yanagisawa T, Is phantom limb pain awareness necessary for the treatment of phantom limb pain?, Neurologia medico-chirurgica, 64(3):101-107, 2023 December 25, doi: 10.2176/jns-nmc.2023-0206.
  • Izutsu N, Yanagisawa T, Fukuma R, Kishima H., Magnetoencephalographic neurofeedback training decreases β-low-γphase-amplitude coupling of the motor cortex of healthy adults: a double-blinded randomized crossover feasibility study, Journal of Neural Engineering, 20(3):036005, 2023 May 9, DOI 10.1088/1741-2552/acd0d6
  • Hata M, Watanabe Y, Tanaka T, Awata K, Miyazaki Y, Fukuma R, Taomoto D, Satake Y, Suehiro T, Kanemoto H, Yoshiyama K, Iwase M, Ikeda S, Nishida K, Takekita Y, Yoshimura M, Ishii R, Kazui H, Harada T, Kishima H, ikeda M, Yanagisawa T, Precise discrimination for multiple etiologies of dementia cases based on deep-learning with electroencephalography, Neuropsychobiology, 82(2):81-90, 2023 April 20, doi: 10.1159/000528439

2022

  • Iwama S, Yanagisawa T, Hirose R, Ushiba J, Beta rhythmicity in human motor cortex reflects neural population coupling that modulates subsequent finger coordination stability, Communications biology, 5(1):1375, 2022 December 15, doi: 10.1038/s42003-022-04326-4.
  • Yanagisawa T, Fukuma R, Seymour B, Tanaka M, Yamashita O, Hosomi K, Kishima H, Kamitani Y, Saitouh Y, Neurofeedback Training without Explicit Phantom Hand Movements and Hand-Like Visual Feedback to Modulate Pain: A Randomized Crossover Feasibility Trial, Journal of Pain, 23(12):2080-2091, 2022 December, PMID: 35932992, DOI: 10.1016/j.jpain.2022.07.009
  • Fujita Y, Yanagisawa T, Fukuma R, Ura N, Oshino S, Kishima H. Abnormal phase-amplitude coupling characterizes the interictal state in epilepsy, Journal of Neural Engineering, 19(2), 2022 April 29, doi: 10.1088/1741-2552/ac64c4.
  • Fukuma R, Yanagisawa T, Nishimoto S, Sugano H, Tamura K, Yamamoto S, Iimura Y, Fujita Y, Oshino S, Tani N, Koide–Majima N, Kamitani Y, Kishima H, Voluntary control of semantic neural representations by imagery with conflicting visual stimulation, Communications biology, 5:214, 2022 March 18,
    Selected as themed collection that showcases research examining neural mechanisms underlying cognitive functions in people affected by neurological conditions (https://www.nature.com/collections/agjheebcbe)
  • Tanaka M, Yanagisawa T, Fukuma R, Tani N, Oshino S, Mihara M, Hattori N, Kajiyama Y, Hashimoto R, Ikeda M, Mochizuki H, Kishima H, Magnetoencephalography detects phase-amplitude coupling in Parkinson’s disease, Scientific Reports, 12:1835, 2022 February 3

Key papers before 2021

  • Yamamoto S, Yanagisawa T, Fukuma R, Oshino S, Tani N, Khoo HM, Edakawa K, Kobayashi M, Tanaka M, Fujita Y, Kishima H. Data-driven electrophysiological feature based on deep learning to detect epileptic seizures, Journal of Neural Engineering, 18(5), 2021 September 3, doi: 10.1088/1741-2552/ac23bf. Online ahead of print
  • Zhang S, Yoshida W, Mano H, Yanagisawa T, Mancini F, Shibata K, Kawato M, Seymour B, Pain Control by Co-adaptive Learning in a Brain-Machine Interface, Current Biology, 30(20):3935-3944.e7, 2020 October 19, doi: 10.1016/j.cub.2020.07.066. Online ahead of print. PMID: 32795441
  • Yanagisawa T, Fukuma R, Seymour B, Tanaka M, Hosomi K, Yamashita O, Kishima H, Kamitani Y, Saitoh Y, BCI training to move a virtual hand reduces phantom limb pain, Neurology, 95(4):e417-e426, 2020 July 28, doi: 10.1212/WNL.00000000009858
  • Shiraishi Y, Kawahara Y, Yamashita O, Fukuma R, Yamamoto S, Saitoh Y, Kishima H, Yanagisawa T, Neural decoding of electrocorticographic signals using dynamic mode decomposition, J Neural Eng., 17(3):036009, 2020 June 2, doi: 10.1088/1741-2552/ab8910.
  • Fukuma R, Yanagisawa T, Kinoshita M, Shinozaki T, Arita H, Kawaguchi A, Takahashi M, Narita Y, Terakawa Y, Tsuyuguchi N, Okita Y, Nonaka M, Moriuchi S, Takagaki M, Fujimoto Y, Fukai J, Izumoto S, Ishibashi K, Nakajima Y, Shofuda T, Kanematsu D, Yoshioka E, Kodama Y, Mano M, Mori K, Ichimura K, Kanemura Y, Kishima H, Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network, Scientific Reports, 9(1):20311, 2019 December 30, doi: 10.1038/s41598-019-56767-3
  • John SE, Grayden DB, Yanagisawa T, The future potential of the Stentrode, Expert Rev med Devices, 1745-2422, 2019 September 30, doi: 10.1080/17434440.2019.1674139. [Epub ahead of print]
  • Kirin SC, Yanagisawa T, Oshino S, Edakawa K, Tanaka M, Kishima H, Nishimura Y, Somatosensation Evoked by Cortical Surface Stimulation of the Human Primary Somatosensory Cortex, Frontiers in Neuroscience, 13:1019, 2019 September 24, doi: 10.3389/fnins.2019.01019. eCollection 2019.
  • Aoe J, Fukuma R, Yanagisawa T, Harada T, Tanaka M, Kobayashi M, Inoue Y, Yamamoto S, Onishi Y, Kishima H, Automatic diagnosis of neurological diseases using MEG signals with a deep neural network, Scientific Reports, 25;9(1):5057, 2019 March, PMID:30911028, DOI:10.1038/s41598-019-41500-x
  • Fukuma R, Yanagisawa T, Tanaka M, Yoshida F, Hosomi K, Oshino S, Tani N, Kishima H, Real-time neurofeedback to modulate β-band power in the subthalamic nucleus in Parkinson’s disease patients, eNeuro, 5(6) ENEURO.0246-18.2018, 2018 December 17, DOI:http//doi.org/10.1523/ENEURO.0246-18.2018
  • Nakanishi Y, Yanagisawa T, Shin D, Kambara H, Yoshimura N, Tanaka M, Fukuma R, Kishima H, Hirata M, Koike Y, Mapping ECoG channel contributions to trajectory and muscle activity prediction in human sensorimotor cortex, Sci Rep., 7: 45486, 2017 Mar 31, DOI:10.1038/srep45486, *Contributed equally to this work
  • Yanagisawa T, Fukuma R, Seymour B, Hosomi K, Kishima H, Shimizu T, Yokoi H, Hirata M, Yoshimine T, Kamitani Y, Saitoh Y, Induced sensorimotor brain plasticity controls pain in phantom limb patients, Nature Communications, 7:13209, 2016 October 27, DOI;10.1038/NCOMMS13209
  • Edakawa K, Yanagisawa T, Kishima H, Fukuma R, Oshino S, Khoo HM, Kobayashi M, Tanaka M, Yoshimine T, Detection of Epileptic Seizures Using Phase-Amplitude Coupling in Intracranial Electroencephalography, Sci Rep., 5(6):25422, 2016 May 5, doi: 10.1038/srep25422., PMID:27147119, *Contributed equally to this work
  • Fukuma R, Yanagisawa T, Saitoh Y, Hosomi K, Kishima H, Shimizu T, Sugata H, Yokoi H, Hirata M, Kamitani Y, Yoshimine T, Real-Time Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals from Paralysed Patients, Scientific Reports, 6: 21781, 2016 Feb 24, doi: 10.1038/srep21781.PMID:26904967
  • Nakamura M, Yanagisawa T, Okamura Y, Fukuma R, Hirata M, Araki T, Kamitani Y, Yorifuji S, Categorical discrimination of human body parts by magnetoencephalography, Front. Hum. Neurosci., 9:609, 2015 November 4, doi: 10.3389/fnhum.2015.00609. eCollection 2015.
  • Fukuma R, Yanagisawa T, Yorifuji S, Kato R, Yokoi H, Saitoh Y, Kishima H, Hirata M, Kamitani Y, Yoshimine T, Closed-Loop Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals, PLoS One, 2;10(7):e0131547, 2015 July 2, doi: 10.1371/journal.pone.0131547.
  • Shinshi M, Yanagisawa T, Hirata M, Goto T, Sugata H, Araki T, Okamura Y, Hasegawa Y, S. Ihara A, Yorifuji S, Temporospatial Identification of Language-Related Cortical Function by a Combination of Transcranial Magnetic Stimulation and Magnetoencephalography, Brain and behavior, 5(3):e00317, 2015 March 22, doi: 10.1002/brb3.317. Epub 2015 Jan 27, PMID 25642395
  • Nakanishi Y, Yanagisawa T, Shin D, Chen C, Kambara H, Yoshimura N, Fukuma R, Kishima H, Hirata M, Koike Y, Decoding fingertip trajectory from electrocorticographic signals in humans, Neurosci Res., 85:20-7, 2014 August, doi: 10.1016/j.neures.2014.05.005. Epub 2014 May 29. *Contributed equally to this work
  • Nakanishi Y, Yanagisawa T, Shin D, Fukuma R, Chen C, Kambara H, Hirata M, Yoshimine T, Koike Y, Prediction of Three-Dimensional Arm Trajectories Based on ECoG Signals Recorded from Human Sensorimotor cortex, PLoS One, 8(8):e72085, 2013 Aug 21, doi: 10.1371/journal.pone.0072085. *Contributed equally to this work
  • Yanagisawa T, Yamashita O, Hirata M, Kishima H, Saitoh Y, Goto T, Yoshimine T, Kamitani Y, Regulation of motor representation by phase-amplitude coupling in the sensorimotor cortex, Journal of Neuroscience. 32(44):15467-75, 2012 October 31, Doi:10.1523/JNEUROSCI.2929-12.2012. PMID 23115184
  • Yanagisawa T, Hirata M, Saitoh Y, Kishima H, Matsushita K, Goto T, Fukuma R, Yokoi H, Kamitani Y, Yoshimine T, Electrocorticographic control of a prosthetic arm in paralyzed patients, Annals of Neurology, 71(3):353-61, 2012 Mar, doi: 10.1002/ana.22613. Epub 2011 Nov 2.
  • Yanagisawa T, Hirata M, Saitoh Y, Goto T, Kishima H, Fukuma R, Yokoi H, Kamitani Y, Yoshimine T, Real-time control of a prosthetic hand using human electrocorticography signals, J Neurosurg, 114(6):1715-22, 2011 June, doi: 10.3171/2011.1.JNS101421.
  • Yanagisawa T, Hirata M, Kishima H, Goto T, Saitoh Y, Oshino S, Hosomi K, Kato A, Yoshimine T, Movement induces suppression of interictal spikes in sensorimotor neocortical epilepsy, Epilepsy Res., 87(1):12-7, 2009 Novermber, doi: 10.1016/j.eplepsyres.2009.07.002.
  • Yanagisawa T, Hirata M, Saitoh Y, Kato A, Shibuya D, Kamitani Y, Yoshimine T, Neural decoding using gyral and intrasulcal electrocorticograms, Neuroimage, 45(4):1099-106, 2009 May 1, doi: 10.1016/j.neuroimage.2008.12.069.
  • Yanagisawa T, Tsumoto T, Kimura F, Transiently higher release probability during critical period at thalamocortical synapses in the mouse barrel cortex: relevance to differential short-term plasticity of AMPA and NMDA EPSCs and possible involvement of silent synapses., Eur J Neurosci., 20(11):3006-18., 2004 December
 

Proposals and Guidelines

  1. BrainTech Evidence Book, Evidence Book Creation Committee (Moonshot)
  2. Hiromitsu Kazui, Takufumi Yanagisawa, Satoshi Umeda, Tomoyuki Obara, Shunichiro Shinagawa, Renhiro Nagahama, Yoshiki Niimi.
    Recommendations for the development and deployment of private-sector services for dementia prevention.
    Policy recommendation jointly issued by academic societies: the Japanese Society of Neurology, the Japan Society for Dementia Research, the Japanese Society of Neurological Therapeutics, the Japan Geriatrics Society, the Japanese Society of Psychiatry and Neurology, and the Japanese Psychogeriatric Society.
    Led by the Ministry of Economy, Trade and Industry (METI), March 2023.
    Recommendations for the development and expansion of private services related to dementia prevention
 

Talk

 

Funding

  1. Sumino Isamu Foundation, Dementia Research Support Fund, April 2025
  2. AMED Medical–Engineering Collaboration Innovation Program, Development of epilepsy diagnostic support SaMD using frontal EEG analysis based on DMD features and patch-type EEG device, Co-Investigator (PI: PGV Inc.), October 2024 – March 2025
  3. AMED Brain and Neuroscience Integrated Research Project, Area 2 Team Type B, Elucidation of resting-state functional connectivity dynamics via hippocampal–cortical networks, Principal Investigator, August 2024 – March 2031
  4. AMED Brain and Neuroscience Integrated Research Project, Area 5 Solo Type, Development of EEG-NF-based treatment for phantom limb pain, Principal Investigator, August 2024 – March 2027
  5. JST AIP Acceleration Program, Data- and AI-driven decoding and understanding of brain information, Principal Investigator, April 2024 – March 2026
  6. JST Moonshot R&D Program, Goal 1: Realization of a society free from constraints of body, brain, space, and time by 2050 – Freedom from physical constraints via augmentation of physical and perceptual abilities, Co-Investigator, January 2021 – March 2026
  7. JSPS KAKENHI Grant-in-Aid for Scientific Research (S), Visualization of neural representations of mental imagery, Co-Investigator, August 2020 – March 2025
  8. General Insurance Association of Japan, Medical Research Grant for Traffic Accidents, Development of BMI-based treatment for phantom limb pain following avulsion injuries, Principal Investigator, April 2019 – March 2020
  9. AMED Strategic International Brain Science Research Program, Development of neuroscience-based therapeutic interventions for psychiatric and neurological disorders – AI-based optimization of epilepsy treatment, Co-Investigator, from October 2019
  10. Mitsubishi Foundation, Clarification of mechanisms and development of improvement methods for age-related visual cognitive decline, April 2020 – March 2021
  11. AMED Public–Private Innovation Platform for Dementia Countermeasures, Development and validation of AI for ultra-early detection of dementia using resting-state EEG, Co-Investigator, June 2019 – March 2022
  12. JST CREST Symbiotic Interaction Program, Creation of brain representation space interaction technology, Principal Investigator, October 2018 – March 2023
  13. JST ERATO Ikeya ERATO Project, Co-Investigator, October 2018 – March 2023
  14. Canon Foundation, Research Grant Program “Creation of Industrial Infrastructure,” Estimation of imagined images using deep learning and brain big data, April 2018
  15. JSPS KAKENHI Grant-in-Aid for Scientific Research (A), Clarifying and modulating brain activity to promote functional recovery after spinal cord injury, Co-Investigator, April 2018 – March 2023
  16. AMED Strategic International Brain Science Research Program, Development of diagnostic and therapeutic technologies for psychiatric disorders based on neuroscience and AI – Biomarker development for chronic pain and neurofeedback using fMRI and MEG/EEG, June 2018 – March 2024
  17. MHLW Research Grant, Empirical study on the utility of AI-based diagnosis and severity assessment of psychiatric disorders using various data sources – Diagnosis of dementia using EEG and MEG, Principal Investigator, November 2017 – March 2018
  18. Daiichi Sankyo Foundation of Life Science, Mechanisms of chronic pain control, April 2018 – March 2020
  19. JSPS KAKENHI Grant-in-Aid for Scientific Research on Innovative Areas: Artificial Intelligence and Brain Science, Development of innovative AI using cortical EEG big data, Principal Investigator, April 2017 – March 2019
  20. AMED Practical Research Project for Rare/Intractable Diseases, Clinical research for myotonic dystrophy aiming to generate evidence-based diagnosis and treatment, Co-Investigator, April 2017 – March 2018
  21. JSPS KAKENHI Grant-in-Aid for Scientific Research (C), Study of the effects of deep brain lesions based on brain network analysis, Co-Investigator, April 2017 – March 2020
  22. AMED Interstellar Initiative 2017
  23. Terumo Life Science Foundation, Special Research Grant, Novel neurofunctional diagnostics using EEG/MEG big data and AI, December 2016
  24. Suzuken Memorial Foundation for Medical Science Research Grant, Development of a thought-based communication interface, November 2016
  25. JST PRESTO Program, Establishment of next-generation infrastructure technologies for integrated use of big data – Brain big data for predicting thoughts and behaviors, Principal Investigator, October 2015 – March 2019
  26. JSPS KAKENHI Grant-in-Aid for Scientific Research (S), Neural basis of mental imagery, Co-Investigator, May 2015 – March 2020
  27. Foundation for the Advancement of Life Sciences, Research Grant, Development of neurofeedback therapy to improve cognitive function in the elderly, Principal Investigator, April 2015
  28. Casio Science Promotion Foundation Research Grant, Development and application of BMI system to support motor function recovery and health promotion for persons with disabilities, December 2014
  29. Kanae Medical Research Foundation Research Grant, Elucidation of network mechanisms in refractory epilepsy using intracranial EEG and MEG, November 2014
  30. JSPS KAKENHI Grant-in-Aid for Challenging Exploratory Research, Development of a method to estimate recalled images using intracranial electrodes, Principal Investigator, April 2014 – March 2016
  31. JSPS KAKENHI Grant-in-Aid for Young Scientists (B), Development of a neuroprosthetic hand using MEG and investigation of cortical reorganization, Principal Investigator, April 2012 – March 2014
  32. Brain Science Foundation, 26th Research Grant, Application of neuroprosthetic hand using MEG to ALS patients
  33. JSPS KAKENHI Grant-in-Aid for Young Scientists (B), Development of BMI for upper limb motor function recovery using input–output signals from the cerebral cortex, Principal Investigator, April 2010 – March 2012
  34. Osaka Medical Research Foundation for Incurable Diseases, Medical Research Grant FY2009, Clinical application of brain-machine interface using cortical EEG, October 2009
  35. Public Trust “Inochi no Irodori” ALS Research Grant, Development of BMI-based communication and environmental control technologies for severe ALS patients, July 2009
  36. Sugita Memorial Brain Research Grant FY2007, Development of Brain–Computer Interface using ECoG, April 2007 – March 2008
 

Patent

  1. International Application No.: PCT/JP2020/015969　Title: Information Processing Device, Determination Method, and Determination Program　Inventors: Takufumi Yanagisawa, Tatsuya Harada, Ryohei Fukuma, Haruhiko Kijima, Ryohei Ishii, Masahiro Hata, Manabu Ikeda, Takumi Tanaka, Jo Aoe　Applicants: The University of Osaka, The University of Tokyo　Filing Date: April 9, 2020　Patent No.: JP7653688　Registration Date: March 21, 2025
  2. International Application No.: PCT/JP2019/22113　Title: Recall Image Estimation Device, Recall Image Estimation Method, Control Program, and Recording Medium　Inventors: Takufumi Yanagisawa, Ryohei Fukuma, Haruhiko Kijima, Shinji Nishimoto　Applicants: The University of Osaka, National Institute of Information and Communications Technology (NICT)　Filing Date: June 4, 2019　Patent No.: JP7352914　Registration Date: September 21, 2023
  3. International Application No.: 2019-26363 / PCT/JP2020/05683　Title: Information Retrieval Method, Information Retrieval Device, and Computer Program　Inventors: Shinji Nishimoto, Takufumi Yanagisawa　Applicants: NICT, The University of Osaka　Filing Date: February 18, 2019　Patent No.: JP7328636　Registration Date: August 8, 2023
  4. International Application No.: 2016-009279　Title: Brain Activity Training System and Operating Method Thereof　Inventors: Takufumi Yanagisawa, Ryohei Fukuma, Yoichi Saito, Toshiki Yoshimine, Yukiyasu Kamiya　Applicants: Not specified　Filing Date: January 20, 2016　Patent No.: JP6755507　Registration Date: August 28, 2020
  5. International Application No.: 2016-8301　Title: Epileptic Seizure Detection Using Cross-Frequency Coupling　Inventors: Haruhiko Kijima, Toshiki Yoshimine, Takufumi Yanagisawa, Kotaro Edagawa, Ryohei Fukuma　Applicants: Not specified　Filing Date: September 27, 2016　Patent No.: JP6618154　Registration Date: November 22, 2019
  6. International Application No.: 2012-542784　Title: Implantable Device　Inventors: Masayuki Hirata, Toshiki Yoshimine, Kojiro Matsushita, Tetsu Goto, Takufumi Yanagisawa, Takafumi Suzuki, Shinichi Yoshimura　Applicants: The University of Osaka, Asuka Electric Co., Ltd.　Filing Date: March 10, 2011　Patent No.: JP5746206　Registration Date: May 15, 2015
  7. International Application No.: PCT/JP2011/001402 / US 13/510,841　Title: Casing for Implantable Device, Implantable Device, Method for Manufacturing Casing for Implantable Device, and Treatment Support Method Using the Device　Inventors: Masayuki Hirata, Toshiki Yoshimine, Kojiro Matsushita, Tetsu Goto, Takufumi Yanagisawa, Takafumi Suzuki, Shinichi Yoshimura　Applicants: The University of Osaka, The University of Tokyo, Asuka Electric Co., Ltd.　Filing Date: May 18, 2012 (PCT March 10, 2011)　Patent No.: Same as No. 6　Registration Date: Same as No. 6
  8. International Application No.: 2010-250464　Title: Casing for Implantable Device, Implantable Device, and Manufacturing Method of the Same　Inventors: Masayuki Hirata, Toshiki Yoshimine, Kojiro Matsushita, Tetsu Goto, Takufumi Yanagisawa, Takafumi Suzuki, Shinichi Yoshimura　Applicants: The University of Osaka, The University of Tokyo, Asuka Electric Co., Ltd.　Filing Date: November 9, 2010　Patent No.: Not specified　Registration Date: Not specified
  9. International Application No.: US 12/799,840　Title: Machine Control Device, Machine System, Machine Control Method, and Recording Medium Storing Machine Control Program　Inventors: Masayuki Hirata, Takufumi Yanagisawa, Yukiyasu Kamitani, Hiroshi Yokoi, Toshiki Yoshimine, Tetsu Goto, Ryohei Fukuma, Ryu Kato　Applicants: The University of Osaka, ATR, The University of Tokyo　Filing Date: May 3, 2010　Patent No.: US8396546　Registration Date: March 12, 2013
  10. International Application No.: 2010-049814　Title: Machine Control Device, Machine System, Machine Control Method, Machine Control Program, and Recording Medium　Inventors: Masayuki Hirata, Toshiki Yoshimine, Yoichi Saito, Takufumi Yanagisawa, Tetsu Goto, Ryohei Fukuma, Ryu Kato　Applicants: The University of Osaka, ATR, The University of Tokyo　Filing Date: March 5, 2010　Patent No.: JP5467267　Registration Date: February 7, 2014
  11. International Application No.: US 12/378,695　Title: Intracranial Electrode and Method for Producing Same　Inventors: Masayuki Hirata, Takufumi Yanagisawa, Yukiyasu Kamitani, Hiroshi Yokoi, Toshiki Yoshimine, Tetsu Goto, Ryohei Fukuma, Ryu Kato　Applicants: The University of Osaka　Filing Date: February 18, 2009　Patent No.: US7860577　Registration Date: December 28, 2010
  12. International Application No.: 2007-216461　Title: Intracranial Electrode Structure and Method for Manufacturing the Same　Inventors: Masayuki Hirata, Toshiki Yoshimine, Yoichi Saito, Takufumi Yanagisawa, Tetsu Goto　Applicants: The University of Osaka　Filing Date: August 22, 2007　Patent No.: JP5126710　Registration Date: November 9, 2012
 

Award

  1. Epilepsy Foundation Research Award for the development of artificial intelligence enabling epilepsy diagnosis and seizure detection – Takushi Yanagisawa, Haruhiko Kishima, March 4, 2022
  2. INNO-vation Generation Award – Special Corporate Prize from the Ministry of Internal Affairs and Communications (Japan), November 22, 2017
  3. Bioindustry Incentive Award, October 11, 2017
  4. BCI Award, September 21, 2017

  5. Encouragement Award, Nakatani Award by the Nakatani Foundation for Advancement of Measuring Technologies in Biomedical Engineering, February 24, 2017
  6. President’s Award, The University of Osaka, July 14, 2015
  7. Young Scientists’ Award, Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, April 16, 2013
  8. President’s Award, The University of Osaka, January 18, 2013
  9. Japan Medical Association Award for Medical Research Encouragement, November 1, 2012
  10. Young Investigator Award, 29th International Congress of Clinical Neurophysiology, November 1, 2010
  11. Young Investigator Award, BIOMAG 2008, August 29, 2008
 

Invited lecture

  1. Takufumi Yanagisawa, Ryohei Fukuma, Shinji Nishimoto, Hidenobu Kanno, Kentaro Tamura, Koji Iimura, Shota Yamamoto, Satoru Oshino, Naoki Tani, Yukiyasu Kamitani, Haruhiko Kishima, Development of Brain-Computer Interface Using Cortical EEG Big Data and AI, The Japan Society of Clinical Neurosurgery, 2021/11/11, Okinawa Convention Center, Invited Lecture
  2. Takufumi Yanagisawa, EEG and MEG Analysis in the AI Era, The 51st Annual Meeting of the Japanese Society of Clinical Neurophysiology, Educational Lecture 4, 2021/12/16, Sendai International Center (Hybrid), Invited Lecture
  3. Takufumi Yanagisawa, Transmission and Modulation of Brain Information via Brain-Computer Interface, Fundamentals of Computational Life Sciences 8, Organized by Kobe University Center for Computational Chemistry Education, 2022/1/12, Invited Lecture
  4. Takufumi Yanagisawa, AI Diagnosis of Dementia and Epilepsy, The 13th Meeting on Alzheimer’s Disease and Epilepsy, 2021/9/13, Invited Lecture
  5. Takufumi Yanagisawa, Medicine through the Fusion of Brain and AI, NIPS Workshop: Collaboration and Development of Artificial Intelligence Technology and Science, 2021/7/16, Zoom, Invited Lecture
  6. Takufumi Yanagisawa, Masahiro Hata, Ryohei Fukuma, Ryohei Ishii, Kenji Yoshiyama, Manabu Ikeda, Haruhiko Kishima, Research on Neurological Disorders Using Deep Learning and EEG/MEG, The 30th Annual Meeting of the Japan Brain Dock Society, Symposium: Exploring the Possibility of Brain ‘Function’ Dock – Cognitive Function Testing Using MEG, 2021/6/25, Hybrid, Invited Lecture
  7. Takufumi Yanagisawa, Development and Clinical Application of BMI, The 41st Annual Meeting of the Japan Congress of Neurological Surgeons, Plenary Session 8: Glocal Neurosurgery – 1, 2021/5/15, Hybrid, Invited Lecture
  8. Takufumi Yanagisawa, Medical Application of Cortical EEG Big Data and AI, Kanto Functional Neurosurgery Conference, Special Lecture, 2021/4/3, Kenkyusha English Center Building, Invited Lecture
  9. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Masataka Tanaka, Haruhiko Kishima, Yukiyasu Kamitani, Yoichi Saito, Neurofeedback for Phantom Limb Pain, 2021/2/25–27, Symposium 02: Cutting-Edge Neurofeedback Therapy for Psychiatric and Neurological Disorders, International Joint Meeting 2020 in Kansai, Online, Invited Lecture
  10. Takufumi Yanagisawa, Development of EEG-based Diagnostic Technology for Neuropsychiatric Disorders, Advanced Lecture, The 50th Annual Meeting of the Japanese Society of Clinical Neurophysiology, 2020/11/26, Kyoto International Conference Center, Invited Lecture
  11. Takufumi Yanagisawa, Medical Application of Brain-AI Integration, The 2nd Brain Science Salon, Remo, 2020/10/10, Invited Lecture
  12. Takufumi Yanagisawa, Restoration and Modulation of Brain Function via BMI, The 20th Annual Meeting of the Japan Anti-Aging Medicine Society, President’s Special Program 1: Toward the “Beyond 100-Year Life Era” – Brain-Machine Interface, 2020/9/26, Online
  13. Takufumi Yanagisawa, Brain-Computer Interface, The 43rd Annual Meeting of the Japan Neuroscience Society, Public Symposium Panelist, 2020/7/29–8/2, Online
  14. Takufumi Yanagisawa, Decoding Brain Information and Clinical Application of Brain-Computer Interfaces, The 43rd Annual Meeting of the Japan Neuroscience Society, Educational Lecture, 2020/7/29–8/2, Online
  15. Takufumi Yanagisawa, Diagnosis and Treatment Using MEG Big Data and AI, Special Lecture (Published), The 35th Annual Meeting of the Japanese Society for Biomagnetism, 2020/7/3
  16. Takufumi Yanagisawa, Interaction between the Brain and AI via Brain-Computer Interface, Whole Brain Architecture Study Group, 2020/4/20, Invited Lecture
  17. Takufumi Yanagisawa, Clinical Application of ECoG/MEG Decoding, 6th CiNet Conference, 2020, CiNet, Invited Talk
  18. Takufumi Yanagisawa, Neurofeedback Control of Phantom Limb Pain, International Symposium: The Role of Pain in Bodily Defense and Autonomy, 2020/1/22, CiNet, Invited Lecture
  19. Takufumi Yanagisawa, Interaction Between Brain and Machine via Brain-Computer Interface, University of Tokyo Systems Information Seminar, 2020/1/14, University of Tokyo, Invited Lecture
  20. Takufumi Yanagisawa, Current State and Future of AI for EEG and MEG, Open Seminar, Eisai Co., Ltd., 2019/12/25, Invited Lecture
  21. Takufumi Yanagisawa, AI Treatment of Chronic Pain by Training with Brain-Machine Interface Using Sensorimotor Cortical Activities Estimated from Magnetoencephalography, The 11th Academic Festival of Zhongshan School of Medicine, Sun Yat-sen University, 2019/12/4, Invited Talk
  22. Takufumi Yanagisawa, Brain-Computer Interface to Reconstruct and Modulate Neural Function, UK-Japan Frontiers of Science (JSPS), 2019/11/8, Tokyo Bay Tokyu Hotel
  23. Takufumi Yanagisawa, Development of Neurofeedback Method to Promote Functional Recovery after Spinal Cord Injury, KNOW NO LIMIT (J-Workout), Tokyo International Exchange Center, 2019/11/4, Special Lecture
  24. Takufumi Yanagisawa, Medical Innovation by AI: Current Status and Future, Educational Lecture 3, The 53rd Annual Meeting of the Japan Epilepsy Society, 2019/10/31, Kobe International Conference Center
  25. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Masataka Tanaka, Koichi Hosomi, Okito Yamashita, Haruhiko Kishima, Yukiyasu Kamitani, Youichi Saitoh, Sustainable Reduction of Phantom Limb Pain by MEG-Based BMI, Society for Neuroscience, Nanosymposium: New Approaches for Pain Assessment and Treatment, 2019/10/22, Chicago
  26. Takufumi Yanagisawa, Visual Information Decoding from Cortical Signals and Application to BCI, National Institute for Physiological Sciences Workshop, Cutting-Edge Research on Visual and Cognitive Brain Functions, 2019/9/27, Invited
  27. Takufumi Yanagisawa, Application of AI and Big Data in Neurosurgery, The University of Osaka Gastrointestinal Surgery Seminar, The University of Osaka Medical School Research Building 3F, 2019/9/10, Invited
  28. Takufumi Yanagisawa, Therapeutic Potential of BMI Using Non-Invasive Imaging, Human Brain Imaging Society Symposium, Tamagawa University, 2019, Invited
  29. Takufumi Yanagisawa, Can We Operate a Computer with the Brain? Public Lecture: Exploring the Brain – Current and Future of Brain Medicine, The University of Osaka Nakanoshima Center, 2019/9/1
  30. Takufumi Yanagisawa, Brain-Machine Interface to Reconstruct and Modulate Neural Function, Frontiers of Science, Japan Society for the Promotion of Science (JSPS), 2019/8/28, Invited
  31. Takufumi Yanagisawa, Diagnosis and Treatment of Neural Disorders Using Brain Big Data and AI, Advanced Co-Creation Research Institute Symposium, Invited, The University of Osaka, 2019/7/29
  32. Takufumi Yanagisawa, Neuro-Imaging and Neuro-Modulation of Somatosensory Information and Phantom Limb Pain, IEEE World Haptics Conference 2019, W5: Affective Haptics as Direct Link to Emotion, 2019/7/8, Sola City Conference Center, Tokyo
  33. Takufumi Yanagisawa, Development of New Diagnostic and Therapeutic Methods Using MEG, The 34th Annual Meeting of the Japanese Society for Biomagnetism, Serial Lecture 1, 2019/6/21, Hakodate Arena
  34. Takufumi Yanagisawa, Initiatives for Dementia Diagnosis and Neurofeedback Therapy Using EEG/MEG Big Data and Deep Learning, The 4th LORETA Café & The 3rd Kansai Transcranial Electrical Stimulation Forum, 2019/6/15, Grand Front Umeda North Building 8F C02
  35. Takufumi Yanagisawa, Clinical Application of MEG/ECoG-BMI, RIKEN–AIST Challenge Research Workshop, 2019/3/26, RIKEN Kobe, Invited
  36. Takufumi Yanagisawa, Medical Application of Brain Big Data and AI, JST/NSF/DATAIA Symposium, 2019/3/11, Kyoto International Conference Center
  37. Takufumi Yanagisawa, Limits and Possibilities of AI Diagnosis, Cognitive Interaction Society (CI Society), Keynote Lecture, 2019/3/1
  38. Takufumi Yanagisawa, Semantic Decoding of Visual Stimulus Using Electrocorticogram and Application for BCI, The 5th CiNet Conference, 2019/2/21, CiNet
  39. Takufumi Yanagisawa, Elucidation of Pathology and Development of Therapeutic Methods for Neuropsychiatric Disorders Using MEG Neurofeedback, The 35th Japanese Society for EEG and Topography, 2019/2/1, Chateraise Gateaux Kingdom Sapporo, Invited Lecture
  40. Takufumi Yanagisawa, Decoding Visual Information Using Cortical EEG and Communicative Applications, Next-Generation Brain Science Executive Committee Event, “Aggressive Neuroscience: Seeing and Changing the Brain”, 2018/12/13, Hitotsubashi Hall, Invited Lecture
  41. Takufumi Yanagisawa, Development of a new diagnostic and treatment method using MEG, The 34th Annual Meeting of the Japanese Society for Biomagnetism, Serial Lecture 1, June 21, 2019, Hakodate Arena, Invited Lecture
  42.  Takufumi Yanagisawa, Initiatives toward dementia diagnosis and neurofeedback treatment using big data from EEG/MEG and deep learning, The 4th LORETA café & The 3rd Kansai Transcranial Electrical Stimulation Forum, June 15, 2019, Grand Front Osaka North Tower 8F C02, Invited Lecture
  43. Takufumi Yanagisawa, Clinical application of MEG/ECoG-BMI, RIKEN–AIST Challenge Research Workshop, March 26, 2019, RIKEN Kobe, Invited Lecture
  44. Takufumi Yanagisawa, Medical application of brain big data and AI, JST/NSF/DATAIA Symposium, March 11, 2019, Kyoto International Conference Center, Invited Lecture
  45. Takufumi Yanagisawa, Limits and possibilities of AI diagnosis, CI Society, Keynote Lecture, March 1, 2019, Invited Lecture
  46. Takufumi Yanagisawa, Semantic decoding of visual stimulus using electrocorticogram and application for BCI, The 5th CiNet Conference, February 21, 2019, CiNet, Invited Lecture
  47. Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Masataka Tanaka, Haruhiko Kishima, Yukiyasu Kamitani, Yoichi Saito, Pathophysiology analysis and development of treatment methods for psychiatric and neurological disorders using MEG neurofeedback, The 35th Japan Society for Brain Electromagnetic Topography, February 1, 2019, Chateraise Gateaux Kingdom Sapporo, Invited Lecture
  48.  Takufumi Yanagisawa, Decoding of visual information using ECoG and communication, Next Generation Brain Executive Committee Project: Aggressive Neuroscience – Seeing and Changing the Brain, December 13, 2018, Hitotsubashi Hall, Invited Lecture
  49. Takufumi Yanagisawa, Present and future of BMI technology to operate machines with the brain, Kinshukai Medical and Welfare Forum, November 17, 2018, Hanwa Memorial Hall, Invited Lecture
  50. Takufumi Yanagisawa, Clinical application of EEG big data and AI, The Society for Computer Aided Surgery, Mini Symposium 3: From Routine Application of Computer-Aided Surgery to Surgical Data Science and AI, November 11, 2018, Nara Prefectural Cultural Hall, Invited Lecture
  51. Exploration of biomarkers and neurofeedback using MEG
    Takufumi Yanagisawa, MD-CNS Disorder Research Meeting, National Hospital Organization Headquarters, January 13, 2018
  52. Elucidation of phantom limb pain pathophysiology and development of treatment using MEG-BMI
    Takufumi Yanagisawa, 17th CRPS Research Meeting, December 3, 2017
  53. Evaluation and modulation of cortical plasticity disorder using MEG
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Hiroshi Yokoi, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saito, 28th Pediatric Brain Function Research Society (Japanese Society of Clinical Neurophysiology), November 29, 2017
  54. Abnormal brain wave rhythms and their modulation
    Takufumi Yanagisawa, ASCONE 2017 lecturer, November 4, 2017
  55. Special Lecture 1: Elucidation of phantom limb pain using MEG-BMI
    Takufumi Yanagisawa, 25th Tokyo Clinical Brain Imaging Study Group, May 31, 2017
  56. Decoded neurofeedback for pain
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saito, Expert Lecture, Japanese Society of Clinical Neurophysiology, October 27, 2016
  57. Robot control using cortical BMI and its application to patients with severe paralysis
    Takufumi Yanagisawa, Systems Vision Science Research Center Symposium “Application Development in Brain Science”, March 8, 2016
  58. Elucidation of phantom limb pain pathology and development of new treatment using decoded neurofeedback
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saito, BMI Roundtable, November 14, 2015
  59. Compensation and modulation of neural function through brain-machine interface
    Takufumi Yanagisawa, Educational Lecture, Kinki Physical Therapy Academic Conference, November 3, 2013
  60. BCI/BMI using magnetoencephalography
    Takufumi Yanagisawa, Japanese Society of Clinical Neurophysiology, November 7, 2013
  61. BMI induced plasticity modulates phantom limb pain
    Takufumi Yanagisawa, The 4th CiNet Conference, 2018/2/28
  62. Brain-machine interface to modulate cortical functions
    T. Yanagisawa, Biomedical engineering seminar, epilepsy and brain machine interfaces, Ian Potter Auditorium, Melbourne Brain Center, 2018/1/29
  63. MEG-BMI to elucidate the pathophysiology and treatment of phantom limb pain
    Takufumi Yanagisawa, 17th CRPS Research Meeting, 2017/12/3
  64. Evaluation and control of cortical plasticity disorders using MEG
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Hiroshi Yokoi, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saito, 28th Pediatric Brain Function Research Meeting (Japanese Society of Clinical Neurophysiology), 2017/11/29
  65. MEG-based BMI controlled the sensorimotor cortical plasticity and phantom limb pain
    T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, rtFIN satellite symposium on brain-computer interface and neurofeedback, 2017/11/28
  66. Rhythm abnormalities and modulation of brain waves
    Takufumi Yanagisawa, ASCONE2017 lecturer, 2017/11/4
  67. BMI robotic hand controls phantom limb pain
    Takufumi Yanagisawa, Yamada Symposium 2017 on neuroimaging of natural behaviors, 2017/10/3
  68. MEG-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain
    T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, ECCN, Budapest, 2017/8/1
  69. Special Lecture 1: Elucidation of phantom limb pain using MEG-BMI
    Takufumi Yanagisawa, 25th Tokyo Clinical Brain Imaging Study Group, 2017/5/31
  70. MEG-DecNef for phantom limb pain
    T. Yanagisawa, R. Fukuma, B. Seymour, K. Hosomi, H. Kishima, T. Shimizu, H. Yokoi, M. Hirata, T. Yoshimine, Y. Kamitani, Y. Saitoh, ATR DecNef workshop, KICK, 2016/12/6
  71. Decoded neurofeedback for pain treatment
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saitoh, Expert Lecture, Japanese Society of Clinical Neurophysiology, 2016/10/27
  72. ECoG BCI for Patients with Severe ALS
    Takufumi Yanagisawa, BCI Meeting, Workshop: Restoration of upper limb function through implanted Brain-computer interfaces, Asilomar Conference Ground, CA, USA, 2016/6/2
  73. Panelist of Workshop: BCI implants – medical, ethical, regulatory and commercial issues
    Takufumi Yanagisawa, Asilomar Conference Ground, CA, USA, 2016/6/2
  74. Robot control using cortical BCI and its application to severely paralyzed patients
    Takufumi Yanagisawa, Systems Neuroscience Center Symposium “Application Development of Brain Science”, 2016/3/8
  75. Decoded neurofeedback for phantom limb pain: Elucidating pathology and developing new treatments
    Takufumi Yanagisawa, Ryohei Fukuma, Ben Seymour, Koichi Hosomi, Tsuyoshi Shimizu, Haruhiko Kishima, Masahiro Hirata, Toshiki Yoshimine, Yukiyasu Kamitani, Yoichi Saitoh, BMI Colloquium, 2015/11/14
  76. ECoG BMI for paralyzed patients
    Takufumi Yanagisawa, Melbourne Symposium on Brain-Computer Interfaces and Rehabilitation, 2015/10/21, Melbourne Brain Center, Australia
  77. Development and application of ECoG-BMI for clinical use
    Takufumi Yanagisawa, MEI Summer School 2015, 2015/8/4
 

Academic Society Memberships

  • The Japan Neurosurgical Society
  • The Japan Epilepsy Society
  • The Japan Neuroscience Society
  • Society for Neuroscience
  • The Japanese Neural Network Society
  • The Japanese Society for Biomagnetism
  • The Japanese Society of Clinical Neurophysiology
  • The Japanese Society for Stereotactic and Functional Neurosurgery
  • Councilor, The Japanese Society for the Study of Pain
  • The Japan Stroke Society
  • The Japanese Association of Rehabilitation Medicine
  • The Physiological Society of Japan