Exploring Evidence for Neurorehabilitation Advancements

73.7K

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179

authors

26

articles

Exploring Evidence for Neurorehabilitation Advancements

73.7K

views

179

authors

26

articles

Editorial

18 June 2025

Editorial: Exploring evidence for neurorehabilitation advancements

Hideki Nakano

,

Akiyoshi Matsugi

,

Tomotaka Ito

,

Kosuke Oku

and

Masahiro Sakita

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Editors

5

Kyoto Tachibana University

Masahiro Sakita

Graduate School of Health Sciences, Kyoto Tachibana University

Kawasaki University of Medical Welfare

Kawasaki University of Medical Welfare

Akiyoshi Matsugi

Shijonawate Gakuen University

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Neuroscience-based rehabilitation is called neurorehabilitation. Specifically, neurorehabilitation is defined as "concepts, evaluation methods, treatments, and equipment that apply brain theories and other findings revealed by neuroscience and related research to rehabilitation. Physical dysfunction, including central nervous system disease, alters the body's representation in the brain, resulting in stagnation of motor function recovery. Therefore, neuroscience-based rehabilitation is essential to reconstruct the altered body representation in the brain. However, the evidence for neurorehabilitation is still insufficient, and it is critical to build upon this evidence to provide optimal rehabilitation and maximize motor function recovery. Many fundamental studies on neuroplasticity, motor control and motor learning theory, brain function measurement, non-invasive brain stimulation, and advanced technologies such as brain-machine interface, AI, and regenerative medicine have been reported in recent years. The integration of neuroscience and cutting-edge research related to neuroscience has excellent potential to contribute to the development of neurorehabilitation.

The main areas of interest in this research topic include, but are not limited to, the following:

- Research on neural plasticity, sensory-motor function, and cognitive function as the basis for rehabilitation
- Research on the elucidation of the mechanisms of diseases and symptoms
- Research on the development of rehabilitation evaluation and treatment methods
- Research using brain function measurement and non-invasive brain stimulation
- Research on rehabilitation using cutting-edge technologies such as brain-machine interface, robotics, machine learning, AI, and regenerative medicine

Neuroscience-based rehabilitation is called neurorehabilitation. Specifically, neurorehabilitation is defined as "concepts, evaluation methods, treatments, and equipment that apply brain theories and other findings revealed by neuroscience and related research to rehabilitation. Physical dysfunction, including central nervous system disease, alters the body's representation in the brain, resulting in stagnation of motor function recovery. Therefore, neuroscience-based rehabilitation is essential to reconstruct the altered body representation in the brain. However, the evidence for neurorehabilitation is still insufficient, and it is critical to build upon this evidence to provide optimal rehabilitation and maximize motor function recovery. Many fundamental studies on neuroplasticity, motor control and motor learning theory, brain function measurement, non-invasive brain stimulation, and advanced technologies such as brain-machine interface, AI, and regenerative medicine have been reported in recent years. The integration of neuroscience and cutting-edge research related to neuroscience has excellent potential to contribute to the development of neurorehabilitation.

The main areas of interest in this research topic include, but are not limited to, the following:

- Research on neural plasticity, sensory-motor function, and cognitive function as the basis for rehabilitation
- Research on the elucidation of the mechanisms of diseases and symptoms
- Research on the development of rehabilitation evaluation and treatment methods
- Research using brain function measurement and non-invasive brain stimulation
- Research on rehabilitation using cutting-edge technologies such as brain-machine interface, robotics, machine learning, AI, and regenerative medicine

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Editors

Kyoto Tachibana University

Masahiro Sakita

Graduate School of Health Sciences, Kyoto Tachibana University

Kawasaki University of Medical Welfare

Kawasaki University of Medical Welfare

Akiyoshi Matsugi

Shijonawate Gakuen University

Impact

73,706 Total views

52,659 Article views

18,927 Article downloads

2,120 Topic views

Published In

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Frontiers in Human Neuroscience

Brain Health and Clinical Neuroscience

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Frontiers in Neurology

Neurorehabilitation

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