Article
Clinical Neurology
Yeun Jie Yoo, So Yeon Jun, Eun Jin Park, Youngkook Kim
Summary: This study aimed to determine the measurement accuracy of the structural integrity of the corticospinal tract (CST) using diffusion tensor imaging. The results showed that the structural integrity measurements at the pontomedullary junction or entire CST demonstrated the highest accuracy in the subacute phase of stroke for assessing upper limb function.
Article
Clinical Neurology
Martin Domin, Brenton Hordacre, Pavel Hok, Lara A. Boyd, Adriana B. Conforto, Justin W. Andrushko, Michael R. Borich, Richard C. Craddock, Miranda R. Donnelly, Adrienne N. Dula, Steven J. Warach, Steven A. Kautz, Bethany P. Lo, Christian Schranz, Na Jin Seo, Shraddha Srivastava, Kristin A. Wong, Artemis Zavaliangos-Petropulu, Paul M. Thompson, Sook-Lei Liew, Martin Lotze
Summary: The study found that stroke patients with severe CST damage rely on residual pathways for better upper limb function recovery.
Article
Clinical Neurology
Carine Ciceron, Dominique Sappey-Marinier, Paola Riffo, Soline Bellaiche, Gabriel Kocevar, Salem Hannoun, Claudio Stamile, Jerome Redoute, Francois Cotton, Patrice Revol, Nathalie Andre-Obadia, Jacques Luaute, Gilles Rode
Summary: This article reports a remarkable late recovery of the right upper-limb motor function after a left middle cerebral artery stroke, occurring progressively from two to 12 years post-stroke onset. The recovery was characterized by clinical assessments, quantified movement analysis, diffusion tensor imaging, functional magnetic resonance imaging, and transcranial magnetic stimulation. The findings suggest that the motor control of the paretic hand is mainly mediated by the contralateral sensorimotor cortex and the corresponding corticospinal tract, as well as plasticity in motor-related areas in both hemispheres.
FRONTIERS IN NEUROLOGY
(2022)
Article
Health Care Sciences & Services
Jungsoo Lee, Won Hyuk Chang, Yun-Hee Kim
Summary: Understanding the interaction between the corticospinal tract (CST) and corticocerebellar tract (CCT) can enhance the individualized rehabilitative strategies and predictive accuracy for stroke patients. The study found that the CCT was significantly associated with high CST FA, indicating a conditional role of CCT depending on CST status in upper extremity recovery after stroke.
JOURNAL OF PERSONALIZED MEDICINE
(2021)
Article
Clinical Neurology
Ulrike Hammerbeck, Sarah F. Tyson, Prawin Samraj, Kristen Hollands, John W. Krakauer, John Rothwell
Summary: In sub-acute stroke patients, the degree of ipsilesional corticospinal tract (CST) connectivity is the main determinant of proximal dexterity, upper-limb strength, and synergy expression, unaffected by contralesional reticulospinal tract (RST) connectivity; training can improve planar reaching skill, while strength, synergy, and skill-acquisition are not affected by RST connectivity.
NEUROREHABILITATION AND NEURAL REPAIR
(2021)
Article
Neurosciences
Xiaojun Wang, Junlin Wang, Ningbo Fei, Dehao Duanmu, Beibei Feng, Xiaodong Li, Wing-Yuk Ip, Yong Hu
Summary: This study observed the long-term effect of motor skill learning on amputees who developed unique muscle activation patterns to control their prostheses. The results showed that with proper feedback training, amputees could learn distinct muscle activation patterns and improve myoelectric prosthetic control performance. The effect of motor skill learning has a lasting impact on sEMG pattern classification accuracy.
COGNITIVE NEURODYNAMICS
(2023)
Article
Neurosciences
Wenfei Sheng, Shijue Li, Jiangli Zhao, Yujia Wang, Zichong Luo, Wai Leung Ambrose Lo, Minghui Ding, Chuhuai Wang, Le Li
Summary: This study investigated the correlation between increased muscle co-contraction and corticospinal tract function in stroke survivors. The results showed that there was increased muscle co-contraction and impairment in CST functionality on the affected side of stroke survivors.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Automation & Control Systems
Rong Liu, Jiaxing Wang, Yaru Chen, Yin Liu, Yongxuan Wang, Jason Gu
Summary: This paper proposes a neuromuscular control method called TMS-PPO, which is based on time-varying muscle synergy (TMS) and proximal policy optimization (PPO). The method decomposes electromyogram (EMG) activation signals to obtain TMSs, and trains network weights to generate scale and phase coefficients through PPO. The coefficients modulate the TMSs to generate appropriate activation patterns for motion learning of the musculoskeletal system.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Biomedical
Yixuan Sheng, Gansheng Tan, Jinbiao Liu, Hui Chang, Jixian Wang, Qing Xie, Honghai Liu
Summary: This study presents a new assessment method based on the muscle synergy space (MSS) model to evaluate motor functions after stroke. By analyzing the spatial and temporal characteristics of muscle synergies, this method provides more scientific rehabilitation guidance.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2022)
Article
Neurosciences
Thanh Phan, Hien Nguyen, Billy C. Vermillion, Derek G. Kamper, Sang Wook Lee
Summary: This study revealed the interaction between proximal and distal muscles of stroke survivors during functional task performance, particularly the interplay between finger extension and elbow extension/shoulder abduction. The hand movements of stroke survivors were significantly influenced by proximal kinematics, with increased cocontraction of hand muscles at specific locations.
FRONTIERS IN HUMAN NEUROSCIENCE
(2022)
Article
Physiology
Kunkun Zhao, Chuan He, Wentao Xiang, Yuxuan Zhou, Zhisheng Zhang, Jianqing Li, Alessandro Scano
Summary: This study investigated the alterations of muscle synergies in post-stroke patients during upper-limb movements. It found that stroke led to changes in synergy structure and increased variability. Four synergy coordination patterns were identified, providing insights into the neurophysiological mechanisms and motor control strategies in post-stroke patients.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Yixuan Sheng, Jia Zeng, Jinbiao Liu, Honghai Liu
Summary: The study introduces a method to measure muscle synergy pattern consistency using sEMG, which involves constructing patterns, validating similarities, and checking consistencies to assess upper limb motor functions. The results indicate high muscle synergy similarity, and the synergy consistency via MD is positively correlated with joint torque fluctuation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Neurosciences
Megha Saini, Neha Singh, Nand Kumar, M. V. Padma Srivastava, Amit Mehndiratta
Summary: This study aimed to determine the correlation between FMA-based upper extremity impairment and neurophysiological parameters of corticospinal tract integrity. The results showed a significant positive correlation between MEP of the EDC muscle and FMA assessment scores, suggesting that FMA may serve as a prognostic indicator of MEP responsiveness.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Clinical Neurology
Gang Liu, Chin-hsuan Chia, Wei-ning Wang, Yue Cao, Shan Tian, Xue-yan Shen, Ying Chen, Rong-rong Lu, Jun-fa Wu, Yu-lian Zhu, Yi Wu
Summary: The study found that post-stroke patients showed significantly decreased activation of distal arm muscles during upper limb coordination, while proximal muscles innervated by the same spinal cord segments exhibited higher activation in elbow coordination movements.
FRONTIERS IN NEUROLOGY
(2021)
Article
Robotics
Chingyi Nam, Wei Rong, Waiming Li, Chingyee Cheung, Wingkit Ngai, Tszching Cheung, Mankit Pang, Li Li, Junyan Hu, Honwah Wai, Xiaoling Hu
Summary: This article presents a novel electromyography (EMG)-driven exoneuromusculoskeleton that integrates the neuromuscular electrical stimulation (NMES), soft pneumatic muscle, and exoskeleton techniques, for self-help upper limb training after stroke. The developed system provides significant improvement in limb performance and muscular coordination, supporting self-help upper limb rehabilitation after stroke.
Article
Behavioral Sciences
A. J. Srzich, J. Cirillo, J. W. Stinear, J. P. Coxon, A. J. C. McMorland, J. G. Anson
Article
Clinical Neurology
Anita Trudgen, John Cirillo, Winston D. Byblow
Article
Neurosciences
Keith D. Runnalls, Pablo Ortega-Auriol, Angus J. C. McMorland, Greg Anson, Winston D. Byblow
EXPERIMENTAL BRAIN RESEARCH
(2019)
Article
Neurosciences
William Stokes, Keith Runnalls, Jake Choynowki, Maria St Pierre, Manuel Anaya, Matthew A. Statton, Pablo A. Celnik, Gabriela Cantarero
JOURNAL OF NEUROPHYSIOLOGY
(2020)
Article
Sport Sciences
Simon P. Baker, Mark L. Fulcher, Daniel J. Exeter, Angus J. Mcmorland, Manroy Sahni
JOURNAL OF SPORTS MEDICINE AND PHYSICAL FITNESS
(2020)
Article
Neurosciences
Corey G. Wadsley, John Cirillo, Arne Nieuwenhuys, Winston D. Byblow
Summary: This study identified neural signatures of response preparation and inhibition during selective stopping of coupled and decoupled bimanual responses. Stopping was more selective for decoupled responses and supported by lateralized sensorimotor mu and beta power during response preparation. These findings provide valuable insights into the functional significance of decoupling for cognitive control in the form of selective stopping.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Neurosciences
Alkis M. Hadjiosif, Meret Branscheidt, Manuel A. Anaya, Keith D. Runnalls, Jennifer Keller, Amy J. Bastian, Pablo A. Celnik, John W. Krakauer
Summary: This study found that subacute stroke patients have worse reaching dexterity than chronic stroke patients when matched on an established synergy and weakness scale (Fugl-Meyer). This suggests that the components of hemiparesis are dissociable and have separable mechanisms, requiring distinct assessments and treatments.
JOURNAL OF NEUROPHYSIOLOGY
(2022)
Article
Neurosciences
Corey G. Wadsley, John Cirillo, Arne Nieuwenhuys, Winston D. Byblow
Summary: Response inhibition is crucial for terminating inappropriate preplanned or ongoing responses, with selective stopping being a complex form of this inhibition. The stopping interference effect, characterized by response delays on unstopped effectors, may result from both selective and nonselective response inhibition processes. This effect can be influenced by factors such as response conflict, task familiarity, and functional coupling.
JOURNAL OF NEUROSCIENCE
(2022)
Article
Neurosciences
Kelly Ho, John Cirillo, April Ren, Winston D. Byblow
Summary: This study investigates the role of intracortical circuits in the primary motor cortex (M1) during motor skill acquisition. The findings suggest that the excitatory circuitries responsible for the generation of late short-interval intracortical facilitation (SICF) peaks are modulated in motor skill acquisition, while the early SICF peak, short-interval intracortical inhibition (SICI), and corticomotor excitability are not affected by training.
EXPERIMENTAL BRAIN RESEARCH
(2022)
Article
Neurosciences
Corey G. Wadsley, John Cirillo, Arne Nieuwenhuys, Winston D. Byblow
Summary: This study aimed to investigate the role of interhemispheric primary motor cortex (M1-M1) influences during selective stopping with proactive cueing. The results showed that increased stopping uncertainty led to slower response times and reduced stopping interference. Proactive response inhibition was characterized by a slower rate of rise and faster cancel time in electromyographical bursts during stopping. There was a reduction in muscle excitability when the left hand was cued to stop, but there was no reinstatement of interhemispheric inhibition between the motor cortices.
JOURNAL OF NEUROSCIENCE
(2023)
Article
Neurosciences
Corey G. Wadsley, John Cirillo, Arne Nieuwenhuys, Winston D. Byblow
Summary: This study provides a freely available Selective Stopping Toolbox (SeleST) to investigate selective stopping using either anticipatory or stop-signal task variants. The results suggest that selective stopping can be successfully investigated with either anticipatory or stop-signal paradigms in SeleST. The anticipatory paradigm should be used when strict control of response times is desired, while the stop-signal paradigm should be used when it is desired to estimate stop-signal reaction time with the independent race model.
EXPERIMENTAL BRAIN RESEARCH
(2023)
Article
Neurosciences
Shintaro Uehara, Firas Mawase, Kendra M. Cherry-Allen, Keith Runnalls, Maheen Khan, Pablo Celnik
Summary: This study investigated the neurophysiological effects of tDCS over the right lateral PFC on PFC-M1 IHI. The results showed that tDCS did not modulate the magnitude of PFC-M1 IHI, but connectivity changed during motor tasks with Go/NoGo decisions.
Article
Physiology
Lysea Haggie, Laura Schmid, Oliver Roehrle, Thor Besier, Angus McMorland, Harnoor Saini
Summary: Computational models of the neuromusculoskeletal system provide a deterministic approach to investigate input-output relationships in the human motor system. However, most models do not incorporate models of the brain, which is where many movement pathologies originate. Integrated corticomuscular pathway models have applications in brain-machine-interaction, education, and our understanding of neurological disease.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Clinical Neurology
Ronan A. Mooney, Suzanne J. Ackerley, Deshan K. Rajeswaran, John Cirillo, P. Alan Barber, Cathy M. Stinear, Winston D. Byblow
NEUROREHABILITATION AND NEURAL REPAIR
(2019)
