Ryohei Fukuma

About

Ryohei Fukuma is a pioneering researcher at the intersection of neuroscience and neuroengineering, whose work focuses on understanding and alleviating phantom limb pain through brain-machine interfaces (BMIs). His key research areas include sensorimotor cortical plasticity, magnetoencephalography (MEG)-based BMIs, and neuroprosthetics. Fukuma’s major contribution lies in demonstrating that induced sensorimotor brain plasticity can control pain in phantom limb patients, a finding that challenges traditional theories of maladaptive reorganization. His most cited paper (2016, 79 citations) provides compelling evidence that reshaping cortical representations through BMI training can reduce neuropathic pain. He further advanced this work by developing MEG-BMI systems that decode hand movements to control robotic prosthetics, improving accuracy in distinguishing multiple movement types (2018, 16 citations). These innovations offer a non-invasive, rehabilitative approach to chronic pain management. Fukuma’s research has been presented at major clinical conferences and published in leading journals, establishing him as a key figure in translational neuroengineering. His work not only deepens our understanding of cortical plasticity but also offers tangible hope for patients suffering from intractable phantom limb pain.

Research Focus

Key Achievements

Top Papers

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

   79 citations · 2016
2. 2
   Training in Use of Brain–Machine Interface-Controlled Robotic Hand Improves Accuracy Decoding Two Types of Hand Movements

   16 citations · 2018
3. 3
   MEG–BMI to Control Phantom Limb Pain

   11 citations · 2018
4. 4
   Using a BCI Prosthetic Hand to Control Phantom Limb Pain

   10 citations · 2019
5. 5
   S109 Magnetoencephalographic-based brain–machine interface robotic hand for controlling sensorimotor cortical plasticity and phantom limb pain

   1 citations · 2017

Key Collaborators

Contact & Links