About this Research Topic
There has been a huge leap in our understanding of neural mechanisms underlying motor planning in the last decade due to the advent of advanced technologies for biosignal acquisition, data processing, data analyses, and interpretation. Recent studies reveal the dynamic interactions between complex neural networks distributed across multiple brain regions are the underlying mechanism of motor actions. However, there is a need for more evidence for a better understanding of the mechanisms underlying motor planning and how it is altered in motor impairment disorders.
The development of a human-machine teaming framework to assist patients with motor impairment disorders has seen significant progress, showing promise in improving rehabilitation approaches that involve human-machine coordination principles for voluntary motor actions. However, there is still a need for a better understanding of the underlying mechanisms. Developing a reliable, validated, and pragmatic tool for patient rehabilitation is the need of the hour.
This Research Topic will include articles highlighting the recent advances and future challenges in the fields of human motor neuroscience and human-machine teaming, and/or the studies demonstrating the effectiveness of the clinical application of the research outcome for the benefit of patients with motor impairment disorders such as stroke, spinal cord injury, Parkinson’s disease, cerebral palsy, multiple sclerosis or any other disorder with motor disability.
This Research Topic welcomes submissions of Original Research, Review articles, Data Reports, Hypotheses & Theories, Methods, Mini Reviews, and Study Protocols about, but not limited to the following themes:
- Research studies with neuroimaging methods such as electroencephalography (EEG), Magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), near-infrared spectroscopy (NIRS), and Positron emission tomography (PET)
- Advances in understanding the neural mechanisms of motor planning in assisted voluntary movement
Advances in developing human-machine teaming frameworks for assisted voluntary movement
- Challenges in designing and implementing effective human-machine teaming systems for motor rehabilitation
Limitations of current rehabilitation approaches and potential areas for improvement
- Applications of computational neuroscience in human-machine teaming and brain computer interfaces
- Ethical considerations in the use of human-machine teaming frameworks for rehabilitation
- Future directions in the development and application of human-machine teaming frameworks for motor rehabilitation
The development of a human-machine teaming framework to assist patients with motor impairment disorders has seen significant progress, showing promise in improving rehabilitation approaches that involve human-machine coordination principles for voluntary motor actions. However, there is still a need for a better understanding of the underlying mechanisms. Developing a reliable, validated, and pragmatic tool for patient rehabilitation is the need of the hour.
This Research Topic will include articles highlighting the recent advances and future challenges in the fields of human motor neuroscience and human-machine teaming, and/or the studies demonstrating the effectiveness of the clinical application of the research outcome for the benefit of patients with motor impairment disorders such as stroke, spinal cord injury, Parkinson’s disease, cerebral palsy, multiple sclerosis or any other disorder with motor disability.
This Research Topic welcomes submissions of Original Research, Review articles, Data Reports, Hypotheses & Theories, Methods, Mini Reviews, and Study Protocols about, but not limited to the following themes:
- Research studies with neuroimaging methods such as electroencephalography (EEG), Magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), near-infrared spectroscopy (NIRS), and Positron emission tomography (PET)
- Advances in understanding the neural mechanisms of motor planning in assisted voluntary movement
Advances in developing human-machine teaming frameworks for assisted voluntary movement
- Challenges in designing and implementing effective human-machine teaming systems for motor rehabilitation
Limitations of current rehabilitation approaches and potential areas for improvement
- Applications of computational neuroscience in human-machine teaming and brain computer interfaces
- Ethical considerations in the use of human-machine teaming frameworks for rehabilitation
- Future directions in the development and application of human-machine teaming frameworks for motor rehabilitation
Keywords: Motor neurophysiology, Brain-computer interfaces, Rehabilitation, Neuroimaging, Machine learning, Assistive robotics, Cognitive and Computational Neuroscience
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