高等共創研究院　栁澤研究室　　Yanagisawa Lab

• 
• 
• 
• 
• 

ご挨拶

By examining phase-amplitude coupling (PAC) of cortical surface from  magnetoencephalographic signals in resting state, we found that PAC is elevated in the occipital lobe as well as the sensorimotor cortex in Parkinson’s disease. This study suggests that PAC detected by MEG will be a biomarker for Parkinson’s disease.

https://www.nature.com/articles/s41598-022-05901-9

Using Brain-computer interface based on magnetoencepharography signals, which estimates the motor cortical currents, a virtual phantom hand image was controlled. When phantom limb pain patients were trained to control the BCI phantom hand image for three days, their pain significantly reduced for five days. We are aiming to apply the technology to clinical use. https://n.neurology.org/content/early/2020/07/16/WNL.0000000000009858

media https://www.amed.go.jp/news/release_20200717.html https://www.asahi.com/articles/ASN7J6J39N7HPLBJ005.html https://mainichi.jp/articles/20200716/k00/00m/040/281000c https://www.theravive.com/today/post/is-it-possible-to-decrease-phantom-limb-pain-by-training-the-brain-0004608.aspx https://healthcare-in-europe.com/en/news/virtual-hand-training-reduces-phantom-limb-pain.htmlhttps://www.medindia.net/news/braincomputer-interface-can-reduce-phantom-limb-pain-196146-1.htm https://www.technologynetworks.com/tn/news/brain-training-protocol-aims-to-reduce-phantom-limb-pain-337544 https://www.miragenews.com/phantom-limb-pain-reduced-through-brain-power/ https://topscoretestprep.com/health-news/phantom-limb-pain-reduced-through-brain-power/ https://tectales.com/bio-tech-it/bci-training-reduces-phantom-limb-pain.html https://opedge.com/Articles/ViewArticle/2020-07-17/bci-training-to-move-a-virtual-hand-reduces-phantom-limb-pain https://www.theravive.com/today/post/is-it-possible-to-decrease-phantom-limb-pain-by-training-the-brain-0004608.aspx https://www.laopinioncoruna.es/tendencias21/2020/07/23/cerebro-manipular-reducir-dolor-miembro/1520411.html https://www.lne.es/tendencias21/2020/07/23/cerebro-manipular-reducir-dolor-miembro/2662532.html https://www.farodevigo.es/tendencias21/2020/07/23/cerebro-manipular-reducir-dolor-miembro/2317665.html?utm_source=rss https://www.eoswetenschap.eu/psyche-brein/fantoompijn-bestrijden-met-een-computer-kan-dat

 

 

 

Dynamic mode decomposition was applied to decode ECoG signals during movements. Extracted phase relation improved the accuracy.

 

Yoshiyuki Shiraishi¹, Yoshinobu Kawahara², Okito Yamashita³, Ryohei Fukuma⁴, Shota Yamamoto⁵, Youichi Saitoh⁶, Haruhiko Kishima⁷ and Takufumi Yanagisawa⁸

Accepted Manuscript online 14 April 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd.

click here.

 

We have developed an AI that predicts gene mutations in brain tumors from MR images (published in Scientific Reports).

Fukuma, R., Yanagisawa, T., Kinoshita, M. et al. Prediction of IDH and TERT promoter mutations in low-grade glioma from magnetic resonance images using a convolutional neural network. Sci Rep 9, 20311 (2019) doi:10.1038/s41598-019-56767-3

Medworm
https://medworm.com/758135971/peering-into-the-genome-of-brain-tumor/
DNA Testing Portal
http://www.genednatest.com/https-www-sciencedaily-com-releases-2020-01-200109100823-htm/
Bioengineer.org
https://bioengineer.org/peering-into-the-genome-of-brain-tumor/
Fourth Ventricle
https://fourthventricle.com/peering-into-the-genome-of-brain-tumor/
Info Moris
https://www.infomoris.com/2020/01/peering-into-genome-of-brain-tumor.html
Axis
https://www.axisimagingnews.com/imaging-insights/imaging-research/peering-into-the-genome-of-a-brain-tumor
Oncology news
https://oncologynews.com.au/peering-into-the-genome-of-brain-tumour/
Flipboard
https://flipboard.com/article/peering-into-the-genome-of-brain-tumor—neuroscience-news/a-c2YOdW1gRrewl7WzVaQ90g%3Aa%3A14992130-3cbc85da29%2Fneurosciencenews.com

Risou（Osaka U Press release）　1/６

http://resou.osaka-u.ac.jp/en/research/2020/20200106_1http://resou.osaka-u.ac.jp/ja/research/2020/20200106_1

大学プレスセンター1/15

https://www.u-presscenter.jp/2020/01/post-42993.html

CNET Japan 　1/15

https://japan.cnet.com/release/30420432/

ORICON NEWS　1/15

https://www.oricon.co.jp/digitalpr/36978/

毎日新聞1/15

https://mainichi.jp/articles/20200115/pls/00m/020/270000c

Sankei Biz 1/15

https://www.sankeibiz.jp/business/news/200115/prl2001152113194-n1.htm

大学Times　1/15

http://times.sanpou-s.net/detail/pid-20343/

医療news

http://www.qlifepro.com/news/20200110/malignant-brain-tumor.html

北海道新聞　1/15

https://www.hokkaido-np.co.jp/article/383533?rct=st_press_release

紀伊民放　1/15

https://www.agara.co.jp/article/42662?rct=movie_animation

とれまがニュース　日時不明

https://news.toremaga.com/economy/bussiness/1463068.html

日経バイオテクオンライン　1/15

https://bio.nikkeibp.co.jp/atcl/release/20/01/15/08470/

 

International Symposium
The Role of Pain in Bodily Defense and Autonomy

Date : 20-22Jan,2020
Venue : Center for Information and Neural Networks (CiNet)
              https://cinet.jp/english/contact/

Register now by email: OOcni-conf@nsurg.med.osaka-u.ac.jp OOOOwith your name, affiliation, position OOOOO    OOand about Participate in a party

How does the brain generate the conscious perception of pain, and how does this help protect our bodily integrity? This interdisciplinary workshop bringing together researchers to discuss pain, action, and movement. Talks will range from understanding the theoretical basis of defensive systems in autonomous control, understanding the function of action and pain in health, and applying these insights to understand chronic conditions such as arthritis.

000 click↑　　　　　　　　　　　　　proglam↑

Organisers Ben Seymour (Cambridge, CiNet/NICT) Nobuhiro Hagura (CiNet/NICT) Takufumi Yanagisawa (Osaka University) 0 Invited Speakers Rebeccah Slater（Oxford） Sven Bestmann（UCL) Victoria Chapman（Nottingham) Gareth Hathway（Nottingham） Markus Ploner（Munich） Sang Wan Lee（KAIST） Francesca Fardo（Aarhus） Stella Koutsikou（Kent） Abby Tabor（Bath） Wani (Choong-Wan) Woo(Sungkyunkwan) Vicky Root（OXford, UCL） Josh Johansen（RIKEN CBS） Tatsuya Umeda（NCNP） Masaya Hirashima（CiNet/NICT） Tsuyoshi Ikegami（Columbia, CiNet/NICT) 0 Contact E-mail:cni-conf@nsurg.med.osaka-u.ac.jp

Schedule Monday 20th Opening remark 13:50-14:00 14.00 – 14.45 Talk 1 Stella Koutsikou 14.45 – 15.30 Talk 2 Gareth Hathway 15:30 – Coffee Break 16.00 – 16.45 Talk 3 Victoria Chapman 16.45 – 17.30 Talk 4 Josh Johansen 18.00 – 20.00: Reception party (CiNet Foyer)                  Student：Free　Others: 1,000Yen　 To participate party,please send email cni-conf@nsurg.med.osaka-u.ac.jp with your name, affiliation and position Tuesday 21st 09.30 – 10.15 Talk 5 Wani (Choong-Wan) Woo 10.15 – 11.00 Talk 6 Francesa Fardo 11:00 –Coffee Break 11.30 – 12.15 Talk 7 Rebecca Slater 12.15 Lunch Break 13.15 – 14.00 Talk 8 Sangwan Lee 14.00 – 14.45 Talk 9 Tsyoshi Ikegami 14.45 – Coffee Break 15.15 – 16.00 Talk 10 Tatsuya Umeda 16.00 – 16.45 Talk 11 Nobu Hagura Wed 22nd 09.30 – 10.15 Talk 12 Vicky Root 10.15 – 11.00 Talk 13 Takafumi Yanagisawa 11:00-Coffee Break 11.30 – 12.15 Talk 14 Masaya Hirashima 12.15 Lunch Break 13.15 – 14.00 Talk 15 Abby Tabor 14.00 – 14.45 Talk 16 Ben Seymour 14.45 – Coffee Break 15.15 – 16.00 Talk 17 Sven Bestmann 16.00 – 16.45 Talk 18 Markus Ploner Closing remarks 16:45-17:00

 

 

11/2 (Sat) JST CREST Joint Workshop was held.

[Toshihisa Tanaka] Development of AI-based diagnosis and treatment-aid for epilepsy by automated interpretation of electroencephalogram

[Takufumi Yanagisawa] Construction of representational Brain-Computer Interaction technology

https://sites.google.com/sip.tuat.ac.jp/crest/ホーム

venue：KOBE portopia hotel  B１F Kikusui  16:00~18:00

 

Toshihisa Tanaka 　　　

Professor

Tokyo University of Agriculture and Technology
Department of Electrical and Electronic Engineering

 

https://tanaka.sip.tuat.ac.jp/

Our new research website was opend.

 

 

JST CREST [Symbiotic interaction]

Creation and development of core technologies interfacing human and information environments

Construction of representational Brain-Computer Interaction technology

 

 

We create a novel interaction linking brain and information space.

The master’s program Ura Natsuko won the Best Poster Presentation Award U-35 of The 34th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society.

Title  “Automatic diagnosis of epilepsy using current source estimate with a deep neural network.”

http://plaza.umin.ac.jp/biomag34/index.html

Congratulations!(2019/6/21)

 

 

W5: Affective Haptics as a Direct Link to Emotion

We discuss the new possibilities of Affective haptics based on the emerging needs and seeds. The link from haptics to brainstem is still an uncultivated area in science, but we are beginning to have tools to clarify it. Technological mental support and encouragement using the link are recent strong needs of people. In this workshop, top-tier researchers from medical to application fields are invited.

This workshop is supported by JST CREST Symbiotic Interaction.

 

July 9, 2019

9:00-9:30 Opening: Affective Haptics as a Direct Link to Emotion (Hiroyuki Shinoda, University of Tokyo, organizer)

9:30-10:00 The Affective Dimensions of the Cutaneous Rabbit Effect (Mounia Ziat, Bentley University)

10:00-10:30 Haptic Characteristics in Human Behavior through Neural Network Estimation (Yasutoshi Makino, University of Tokyo)

Break

10:45-11:15 Artificial Bodily Reactions via Haptic Feedbacks for Evoking Emotion (Takuji Narumi, University of Tokyo)

11:15-11:45 Neuro-Imaging and Neuro-Modulation of Somatosensory Information and Phantom Limb Pain (Takufumi Yanagisawa, Osaka University)

11:45-12:15 Social Touch in Human-Robot Interaction (Masahiro Shiomi, ATR)

https://sites.google.com/hapis.k.u-tokyo.ac.jp/whc2019/

Welcome

Our aim of research is to develop a novel ECoG-BMI system to be applied for paralyzed patients as a communication tool. We have a large data set of ECoG simultaneously recorded human life-log such as visual stimulus, auditory stimulus, motion tracking and thoughts. We are developing a model to decode these life-log data using some novel machine learning techniques to apply it as online communication tool. Also, our focus is to understand how the brain adapt the decoder or change the brain activities using the BMI system.

HＰ

 

2A20191031itokuninken en (1)

 

 

 

お知らせ