Yanagisawa Laboratory

Our aims

We are developing novel methods to diagnose and cure neurological diseases using artificial intelligence with big data from EEG/MEG/ECoG signals. Our efforts have so far allowed the creation of a robotic hand, the movements of which are controlled by human intention using Brain?Machine Interface (BMI) technology with ECoG and MEG. A severely paralyzed patient with amyotrophic lateral sclerosis (ALS) used our BMI robot and succeeded in controlling the robotic hand and PC speller through his intentions to move his paralyzed hand. Moreover, we have also demonstrated that undergoing training to use a BMI robotic hand induced plastic changes in the cortical activities of patients with phantom limb pain and modulated their pain based on the cortical alterations. In a similar fashion, we are developing a novel method to diagnose neurological diseases using machine-learning techniques with brain signals. We aim to improve medicine through the creation of novel technologies in collaboration with various researchers in informatics, engineering and neuroscience.

Our main topics:
1) Development and clinical application of BMI using ECoG/MEG
2) BMI neurofeedback to understand and treat neurological diseases
3) Computer-aided diagnosis of neurological diseases using MEG/EEG

Funding:
We are supported by JST, AMED, KAKENHI and other various funding agencies.

2020.9
We are seeking highly motivated individuals with PhD or equivalent.

Infomation

The JST CREST Brain Expression Space Interaction was featured on JST news.
Neurofeedback training was developed to change phantom hand representation without awareness of phantom limb motion or phantom limb images, successfully decreasing pain.
Using intracranial EEG, we have developed BCI, which presents some images of an imagined meaning on the screen.
Magnetoencephalography detects phase-amplitude coupling in Parkinson’s disease
BCI training reduced Phantom limb pain
Dynamic mode decomposition was applied to decode ECoG signals during movements. Extracted phase relation improved the accuracy.
We have developed an AI that predicts gene mutations in brain tumors from MR images (published in Scientific Reports).
20-22Jan,2020 We will have a International Symposium: The Role of Pain in Bodily Defense and Autonomy
11/2 (Sat) JST CREST Joint Workshop was held.
【website was opened】JST CREST [Symbiotic interaction]
【Award】the Best Poster Presentation Award U-35 of The 34th Annual Meeting of Japan Biomagnetism and Bioelectromagnetics Society.
WHC2019 Workshop W5 July 9, 2019
【details】Postdoctoral/Research associate positions at Institute for advanced co-creation studies, Osaka University, Japan【Additional】
We had a seminar of Dr. Robert Gaunt and Mr. Nathan Copeland from Pittsburgh University, USA.
A new paper by Jo Aoe(Research assistants) was published in Scientific Reports.
A new paper by Fukuma (Researcher) was published in e-Neuro.
Postdoctoral/Research associate positions at Institute for advanced co-creation studies, Osaka University, Japan
A new paper by Fukuma(Researcher) was published in Frontiers in Neuroscience.
WebSite released.
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