Article
Rehabilitation
Adam de Havenon, Laura Heitsch, Abimbola Sunmonu, Robynne Braun, Keith R. Lohse, John W. Cole, Eva Mistry, Arne Lindgren, Bradford B. Worrall, Steven C. Cramer
Summary: The study aimed to develop a simple and effective risk score for predicting persistent impairment of upper extremity motor function in stroke patients at 90 days poststroke. By analyzing data from multiple clinical trials, the researchers identified the PUPPI index as a predictive tool in the validation cohort.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2022)
Article
Clinical Neurology
Jesse Dawson, Azmil H. Abdul-Rahim
Summary: The use of paired vagus nerve stimulation (VNS) for the treatment of upper extremity motor deficits associated with chronic ischemic stroke has been approved by the US FDA. This treatment aims to enhance neuroplasticity during rehabilitation therapy and has shown significant improvements in upper extremity impairment and function in patients with moderate-to-severe arm weakness for up to 3 years after stroke. Further research is needed to explore the effectiveness of this treatment for other post-stroke impairments and to evaluate the use of non-invasive VNS.
INTERNATIONAL JOURNAL OF STROKE
(2022)
Article
Rehabilitation
Shashwati Geed, Christianne J. Lane, Monica A. Nelsen, Steven L. Wolf, Carolee J. Winstein, Alexander W. Dromerick
Summary: The study found that in stroke rehabilitation trials, using a Rasch-rescaled UEFM can improve the accuracy of effect size, reduce the required sample size, decrease costs, shorten duration, and decrease the number of subjects exposed to experimental risks compared to using the simple summation of ordinal UEFM items.
ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION
(2021)
Review
Biochemistry & Molecular Biology
Lidia Wlodarczyk, Rafal Szelenberger, Natalia Cichon, Joanna Saluk-Bijak, Michal Bijak, Elzbieta Miller
Summary: Key issues affecting stroke rehabilitation clinical practice include a patient's medical history, stroke experience, recovery potential, and therapy selection. Finding biomarkers that predict brain recovery potential in stroke patients is crucial. Utilizing biomarkers for personalized medicine development and enhancing brain neuroplasticity are important in stroke rehabilitation and other central nervous system diseases.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Clinical Neurology
Hyunjin Kim, Junghyun Kim, Sungbae Jo, Kyeongjin Lee, Junesun Kim, Changho Song
Summary: This study investigated the effects of mirror therapy using a newly developed video augmented wearable reflection device on reach-to-grasp motor control and upper extremity motor function. The results showed that mirror therapy using the video augmented wearable reflection device was more efficient than traditional mirror therapy in improving motor control and proximal upper limb function for stroke patients.
JOURNAL OF NEUROLOGY
(2023)
Article
Engineering, Biomedical
Donovan B. Smith, Stephen H. Scott, Jennifer A. Semrau, Sean P. Dukelow
Summary: This study assessed ipsilesional arm motor impairments using a robot-based assessment over the first 6 months post-stroke. The robot-based assessment revealed a higher incidence of ipsilesional arm impairments than clinical measures. The severity of ipsilesional arm impairments was moderately correlated with contralesional arm impairment severity, but not with the hemisphere of lesion.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Review
Health Care Sciences & Services
Xiaoyi Wang, Yan Fu, Bing Ye, Jessica Babineau, Yong Ding, Alex Mihailidis
Summary: This systematic review analyzes the application of technology-based methods in assessing and detecting compensation during stroke upper extremity (UE) rehabilitation. The findings indicate that body-worn technology, marker-based motion capture system, and marker-free vision sensor technology are the most commonly used sensor technologies. Furthermore, most studies utilize statistical methods for compensation assessment, while machine learning algorithms are applied for automatic detection. The review suggests exploring technology-based compensation predictions and overcoming the drawbacks of each sensor in compensation assessment and detection.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Engineering, Biomedical
Zhiqiang Luo, Audrey Ei-Ping Lim, Ponraj Durairaj, Kim Kiow Tan, Verawaty Verawaty
Summary: This study aims to develop a compensation-aware virtual rehabilitation system that can detect compensatory movements and improve the outcome of upper extremity rehabilitation in older adults with stroke. The virtual rehabilitation system effectively detected compensatory movements and provided timely feedback. Participants in the virtual rehabilitation group showed significant improvements in motor functions, but there were no significant differences between the virtual rehabilitation group and the conventional rehabilitation group in outcome measures.
JOURNAL OF NEUROENGINEERING AND REHABILITATION
(2023)
Article
Health Care Sciences & Services
Seo-Won Yang, Sung-Ryong Ma, Jong-Bae Choi
Summary: The purpose of this study is to investigate the effect of virtual-reality-based hand motion training (VRT) in parallel with the Kinesio Taping (KT) technique on upper extremity function in stroke patients. The experimental group who participated in the combined intervention showed significant improvement in upper extremity function compared to the control group. This suggests that the KT technique, which provides stability to the wrist, enhances the effectiveness of VRT in improving upper extremity function.
Article
Rehabilitation
Yingnan Lin, Qin-Ying Li, Qingming Qu, Li Ding, Zhen Chen, Fubiao Huang, Shihong Hu, Wei Deng, Fengxian Guo, Chuankai Wang, Panmo Deng, Li Li, Hao Jin, Cong Gao, Beibei Shu, Jie Jia
Summary: This study aimed to compare the efficacy of robot-assisted training and therapist-mediated enhanced upper extremity therapy on the upper and lower extremities of stroke survivors. The results showed that robot-assisted training was not inferior to enhanced upper extremity therapy in reducing impairment of the upper extremity, while showing greater motor recovery of the lower extremity.
JOURNAL OF REHABILITATION MEDICINE
(2022)
Article
Health Care Sciences & Services
Si-Yun Kim, Yu-Mi Kim, See-Won Koo, Hyun-Bin Park, Yong-Soon Yoon
Summary: This study aimed to compare the treatment effect of robot-assisted upper-extremity rehabilitation in stroke patients who perform rehabilitation by themselves and those who are actively assisted by a therapist. After four weeks of rehabilitation, both groups showed significant improvement in muscle strength, functional assessment, and independence measure. The experimental group, with active therapist intervention, had significantly better upper-extremity function outcomes compared to the control group. These results suggest that active intervention by therapists during robot-assisted upper-limb rehabilitation positively impacts function outcomes in stroke patients.
Article
Neurosciences
Nadinne Alexandra Roman, Roxana Steliana Miclaus, Cristina Nicolau, Gabriela Sechel
Summary: This article introduces a new scoring system for Manual Muscle Testing (MMT) in assessing motor function of post-stroke patients' upper extremities. The results of the study suggest that the proposed scoring system has a strong correlation with other assessment tools, providing a more accurate and specific evaluation of upper extremity muscular strength and aiding in patient rehabilitation.
Article
Physiology
Shashwati Geed, Megan L. Grainger, Abigail Mitchell, Cassidy C. Anderson, Henrike L. Schmaulfuss, Seraphina A. Culp, Eilis R. McCormick, Maureen R. McGarry, Mystee N. Delgado, Allysa D. Noccioli, Julia Shelepov, Alexander W. Dromerick, Peter S. Lum
Summary: This study investigates the validity of using machine learning to measure real-world functional upper extremity use in stroke patients. The study hypothesizes that machine learning classification using wrist-worn accelerometry is as accurate as frame-by-frame video labeling. The study also validates the machine learning classification against measures of impairment, function, dexterity, and self-reported use. The results show that machine learning is a valid method for measuring functional upper extremity use.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Clinical Neurology
Amanda A. Vatinno, Christian Schranz, Annie N. Simpson, Viswanathan Ramakrishnan, Leonardo Bonilha, N. J. Seo
Summary: This study investigates whether pre-intervention sensorimotor connectivity can predict post-stroke upper extremity motor improvement following therapy. The results show that higher ipsilesional sensorimotor connectivity is associated with greater motor improvement. This EEG connectivity may have predictive utility in the rehabilitation treatment of stroke patients.
NEUROREHABILITATION
(2022)
Editorial Material
Clinical Neurology
Howard Bowman, Anna Bonkhoff, Tom Hope, Christian Grefkes, Cathy Price
Summary: The proportional recovery rule suggests that most stroke survivors recover a fixed proportion of lost function. Recent critiques argue that the correlation between initial scores and subsequent change may be confounded. Two studies have reassessed this, concluding that while group-level inferences are reliable, effective prediction of individual patient recovery trajectories is not supported by current evidence.
