Introduction

How do humans integrate sensation and movement to express precise actions? In the process of acquiring uniquely human physical motor abilities, how does the brain embody the mind? Fascinated by the various mysteries of the nervous system, I am advancing research based on neuroscientific methods. I am also interested in the academic reorganization activities that expand research outcomes into medicine and art.

■Motor Function and Rehabilitation
・Research Objective: To investigate how functional reorganization of locomotor kinematic synergies reflects neuropathology in a mouse model of spinal cord injury.
- Title: Functional reorganization of locomotor kinematic synergies reflects the neuropathology in a mouse model of spinal cord injury, Sato Yuta, Kondo Takahiro, Shibata Reo, Nakamura Masaya, Okano Hideyuki, Ushiba Junichi （Neuroscience Research） 177 78-84 Apr. 2022
・Research Objective: To develop a brain-computer interface model using deep residual convolutional neural networks that can accurately distinguish between rest, left-hand movement, and right-hand movement tasks and generalize to unknown participants.
- Title: Deep Residual Convolutional Neural Networks for Brain–Computer Interface to Visualize Neural Processing of Hand Movements in the Human Brain, Fujiwara Yosuke, Ushiba Junichi （Frontiers in Computational Neuroscience） 16 May. 2022
・Research Objective: To clarify the positioning of brain-machine interface (BMI) therapy in upper limb rehabilitation and to develop it into a commercially viable, easy-to-use, and cost-effective medical device.
- Title: Brain–machine Interface (BMI)-based Neurorehabilitation for Post-stroke Upper Limb Paralysis, Liu Meigen, Ushiba Junichi （The Keio Journal of Medicine） 71 （ 4 ） 82-92
■Brain-Computer Interface (BCI) and Neurofeedback
・Research Objective: To develop a spatiotemporal convolutional neural network for EEG decoding to improve visualization and closed-loop control of sensorimotor activities.
- Title: EEG decoding with spatiotemporal convolutional neural network for visualization and closed‐loop control of sensorimotor activities: A simultaneous EEG‐fMRI study, Iwama Seitaro, Tsuchimoto Shohei, Mizuguchi Nobuaki, Ushiba Junichi （Human Brain Mapping） 45 （ 9 ） Jun. 2024
・Research Objective: To investigate short-term changes in cortical structures induced by 30 minutes of BCI-based neurofeedback training aimed at regulating sensorimotor rhythm in EEG.
- Title: Thirty-minute motor imagery exercise aided by EEG sensorimotor rhythm neurofeedback enhances morphing of sensorimotor cortices: a double-blind sham-controlled study, Kodama Midori, Iwama Seitaro, Morishige Masumi, Ushiba Junichi （Cerebral Cortex） 33 （ 11 ） 6573-6584 May. 2023
・Research Objective: To provide a high-density scalp EEG dataset during sensorimotor rhythm-based brain-computer interfacing to explore the variability in BCI learning efficiency.
- Title: High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing, Iwama Seitaro, Morishige Masumi, Kodama Midori, Takahashi Yoshikazu, Hirose Ryotaro, Ushiba Junichi （Scientific Data） 10 （ 1 ） Jun. 2023
■Neuroscience and Brain Function
・Research Objective: To develop and evaluate a sequential Bayesian estimation algorithm for rapid identification of individual alpha frequency (IAF) from short-term resting-state EEG data.
- Title: Rapid-IAF: Rapid Identification of Individual Alpha Frequency in EEG Data Using Sequential Bayesian Estimation, Iwama Seitaro, Ushiba Junichi （IEEE Transactions on Neural Systems and Rehabilitation Engineering） 32 915-922
・Research Objective: To introduce and demonstrate the effectiveness of a Lab Streaming Layer (LSL)-based application in overcoming jitter and latency issues in synchronized multimodal recordings with EEG.
- Title: Two common issues in synchronized multimodal recordings with EEG: Jitter and latency, Iwama Seitaro, Takemi Mitsuaki, Eguchi Ryo, Hirose Ryotaro, Morishige Masumi, Ushiba Junichi （Neuroscience Research） 203 1-7 Jun. 2024
・Research Objective: To investigate the rapid topographical changes in forelimb M1 motor maps in marmosets using a rapid stimulation mapping procedure with implanted cortical surface electrodes.
- Title: Posture-dependent modulation of marmoset cortical motor maps detected via rapid multichannel epidural stimulation, Takemi Mitsuaki, Tia Banty, Kosugi Akito, Castagnola Elisa, Ansaldo Alberto, Ricci Davide, Fadiga Luciano, Ushiba Junichi, Iriki Atsushi （）

Areas of Research

・Motor Function and Rehabilitation
・Brain-Computer Interface (BCI) and Neurofeedback
・Neuroscience and Brain Function

Social Contributions

・Improved Rehabilitation Strategies
・Enhanced Quality of Life for Patients
・Advancements in Brain-Computer Interface Technology