Toshiki Yoshimine

About

Toshiki Yoshimine stands at the forefront of neuroscience and neural engineering, with research spanning brain-machine interfaces (BMIs), sensorimotor cortical plasticity, and the treatment of intractable pain conditions such as phantom limb pain. His most cited work, "Induced sensorimotor brain plasticity controls pain in phantom limb patients" (2016, 79 citations), challenged prevailing theories about maladaptive cortical reorganization and demonstrated that deliberately inducing further plasticity could meaningfully alleviate chronic pain — a significant conceptual and clinical breakthrough. Alongside this, Yoshimine has been a pioneering force in BMI hardware development, contributing the W-HERBS fully implantable wireless system (2011, 52 citations), which enabled direct brain-to-machine communication via cortical surface electrodes. His work has translated into practical therapeutic tools, including MEG- and ECoG-based BMI robotic hands that improve motor decoding accuracy and reduce phantom limb pain through neurofeedback-driven plasticity. His 2020 nationwide survey of 780 ALS patients (20 citations) further reflects his commitment to understanding real-world patient needs. Collectively, Yoshimine's research bridges fundamental neuroscience with patient-centered clinical innovation, making him a distinctive voice in restorative neurology and neuroprosthetics.

Research Focus

Key Achievements

Top Papers

1. 1
   Induced sensorimotor brain plasticity controls pain in phantom limb patients

   79 citations · 2016
2. 2
   A Fully-Implantable Wireless System for Human Brain-Machine Interfaces Using Brain Surface Electrodes: W-HERBS

   52 citations · 2011
3. 3
   Nationwide survey of 780 Japanese patients with amyotrophic lateral sclerosis: their status and expectations from brain–machine interfaces

   20 citations · 2020
4. 4
   Training in Use of Brain–Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements

   16 citations · 2018
5. 5
   MEG–BMI to Control Phantom Limb Pain

   11 citations · 2018
6. 6
   Using a BCI Prosthetic Hand to Control Phantom Limb Pain

   10 citations · 2019
7. 7
   Electrocorticographic Brain–Machine Interfaces for Motor and Communication Control

   7 citations · 2014
8. 8
   Motor Restoration Based on the Brain–Machine Interface Using Brain Surface Electrodes: Real-Time Robot Control and a Fully Implantable Wireless System

   4 citations · 2012
9. 9
   S109 Magnetoencephalographic-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain

   1 citations · 2017

Key Collaborators

Contact & Links