With enormous amount of stroke survivors worldwide, facilitating stroke rehabilitation always attracts huge attention from both professionals and the public. Advanced neurotechnologies, including but not limited to rehabilitation robotics, brain machine interaction (BMI), brain stimulation, functional electrical stimulation (FES), etc., have been designed and translated into diagnostics and therapeutic interventions for stroke survivors. For instance, robotic devices, such as end-effectors and exoskeletons, have been introduced to stroke rehabilitation some 30 years ago to assist motor training with high intensity and repetition, and various robots have been developed in the last decades. Another trend is to combine different types of neurotechnologies to facilitate recovery. For example, electroencephalogram (EEG)-supported BMI training combines robot-assisted training and BMI technology, which is hypothesized that closing the loop between cortical activity and actual movement can restore functional corticospinal and corticomuscular connections. Other peripheral stimulation techniques, such as FES, can also be combined with BMI to integrate cortical and peripheral treatments.
Although these innovative neurotechnologies have shown promising results, there are large between-subject and between-study variabilities in clinical practice due to the heterogeneity of the stroke population. Therefore, a deep understanding of the mechanisms underlying technology-aided neurorehabilitation is needed to promote the effective use of neurotechnologies. The objective of this Research Topic is to collect recent progress related to clinical applications of the above technologies in coping with impaired functions poststroke, aiming to better understand the mechanism of neurorehabilitation and thus maximize the rehabilitative outcomes.
We encourage contributions from engineering or clinical perspectives, including interdisciplinary and multi-disciplinary studies, related to the assessment, treatment, and prognosis of technology-aided neurorehabilitation. We also encourage studies that provide scientific evidence in support of the above neurotechnologies, in order to better understand the underlying mechanism and develop novel rehabilitation treatments.
Topics of interest include but are not limited to:
- Technology supported diagnosis, quantitative evaluation and prognosis;
- Exploration of the mechanism of neurorehabilitation;
- Development of novel treatments for stroke rehabilitation;
- Overcoming technical challenges in clinical practice;
- Clinical applications of neurotechnologies and outcomes.
High-quality submissions of the following article types: Original Research, Review, Systematic Review, Brief Research Report, Clinical Trial, Correction, Hypothesis & Theory, Methods, Mini Review, etc., are welcome.
With enormous amount of stroke survivors worldwide, facilitating stroke rehabilitation always attracts huge attention from both professionals and the public. Advanced neurotechnologies, including but not limited to rehabilitation robotics, brain machine interaction (BMI), brain stimulation, functional electrical stimulation (FES), etc., have been designed and translated into diagnostics and therapeutic interventions for stroke survivors. For instance, robotic devices, such as end-effectors and exoskeletons, have been introduced to stroke rehabilitation some 30 years ago to assist motor training with high intensity and repetition, and various robots have been developed in the last decades. Another trend is to combine different types of neurotechnologies to facilitate recovery. For example, electroencephalogram (EEG)-supported BMI training combines robot-assisted training and BMI technology, which is hypothesized that closing the loop between cortical activity and actual movement can restore functional corticospinal and corticomuscular connections. Other peripheral stimulation techniques, such as FES, can also be combined with BMI to integrate cortical and peripheral treatments.
Although these innovative neurotechnologies have shown promising results, there are large between-subject and between-study variabilities in clinical practice due to the heterogeneity of the stroke population. Therefore, a deep understanding of the mechanisms underlying technology-aided neurorehabilitation is needed to promote the effective use of neurotechnologies. The objective of this Research Topic is to collect recent progress related to clinical applications of the above technologies in coping with impaired functions poststroke, aiming to better understand the mechanism of neurorehabilitation and thus maximize the rehabilitative outcomes.
We encourage contributions from engineering or clinical perspectives, including interdisciplinary and multi-disciplinary studies, related to the assessment, treatment, and prognosis of technology-aided neurorehabilitation. We also encourage studies that provide scientific evidence in support of the above neurotechnologies, in order to better understand the underlying mechanism and develop novel rehabilitation treatments.
Topics of interest include but are not limited to:
- Technology supported diagnosis, quantitative evaluation and prognosis;
- Exploration of the mechanism of neurorehabilitation;
- Development of novel treatments for stroke rehabilitation;
- Overcoming technical challenges in clinical practice;
- Clinical applications of neurotechnologies and outcomes.
High-quality submissions of the following article types: Original Research, Review, Systematic Review, Brief Research Report, Clinical Trial, Correction, Hypothesis & Theory, Methods, Mini Review, etc., are welcome.
