We aim to identify the neural/mechanical interventions and underlying mechanisms for improving motor skills and facilitating motor learning/rehabilitation through integrative approaches. We examine neural activity, motor output (e.g., neural excitability, muscle activity, and limb/hand movement), and memory with various interventions in young and old individuals including clinical populations (e.g., amputees, stroke survivors).
Key words: Neuroscience, Neural Engineering, Human Augmentation, Human-Robot Interaction, Rehabilitation, Sports Science, Sports Medicine, Motor Control, Motor Learning
Open to students who are interested in conducting research multiple semesters. Students with computational skills (coding) may have greater opportunities. Sorry, no high school students or foreign undergraduate students.
Neuromechanical Mechanisms for Motor Skills
- Autonomic nervous system and neuromotor activity
- Modulations of neuromotor oscillations
- Human-Robot interaction
Neural Plasticity with Practice
- Facilitation of motor learning and rehabilitation
- Improvement of human-machine interaction
- Wearable robot
- Nayef’s study on anti-phase cocontraction practice published in Experimental Brain Research (January, 2020) https://twitter.com/ExpBrainRes/status/1204264043264872448
- Keynote Speaker at Japan Society of Mechanical Engineering: Sports Engineering and Human Dynamics, Japan (October, 2019)
- Vasiliy’s study on brain excitability published in Experimental Brain Research (May, 2019).
- Workshop Speaker on Human Neuromuscular Augmentation at International Symposium on Medical Robotics (April, 2019).
- Symposium Speaker on Ultrasound Elastgoraphy at International Society of Electrophysiology and Kinesiology (July, 2018).
- Collaborative study with engineers on ultrasound-based prosthetic finger control featured in Georgia Tech News, interviewed by IEEE Spectrum, and listed as one of the Best Medical Technologies of 2017 by Medgadjet (December, 2017). See YouTube Video.
- Shino’s invited commentary “Active Voice: Fight Between Your Muscles – Beat Common Drive for Steady Cocontraction” published in Sports Medicine Bulletin from the American College of Sports Medicine (October, 2017).
- Nayef’s study featured as “Mind Over Muscles: How the Brain Hinders Individual Muscle Control” in Georgia Tech News (June, 2017)
- Ahmar NE, Ueda J, Shinohara M. Anti-phase cocontraction practice attenuates in-phase low-frequency oscillations between antagonistic muscles as assessed with phase coherence. Experimental Brain Research 238: 63-72, 2020.
- Buharin VE & Shinohara M. Corticospinal excitability for flexor carpi radialis decreases with baroreceptor unloading during intentional co-contraction with opposing forearm muscles. Experimental Brain Research 237:1947-195, 2019.
- Brown E, Yoshitake Y, Shinohara M, Ueda J. Automatic analysis of ultrasound shear-wave elastography in skeletal muscle without non-contractile tissue contamination. International Journal of Intelligent Robotics and Applications 2: 209-225, 2018.
- Yoshitake Y, Ikeda A, Shinohara M. Robotic finger perturbation training improves finger postural steadiness and hand dexterity. Journal of Electromyography and Kinesiology 38:208-214, 2018.
- Ahmar NE & Shinohara M. Slow intermuscular oscillations are associated with cocontraction steadiness. Medicine & Science in Sports & Exercise, 49: 1955–1964, 2017.
- Kim E, Kovalenko I, Lacey I, Shinohara M, Ueda J. Timing analysis of robotic neuromodulatory rehabilitation system for paired associative stimulation. IEEE Robotics and Automation Letters 1 : 1028-1035, 2016.