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Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface

Patrick D. Ganzer, Samuel C. Colachis, Michael A. Schwemmer, David A. Friedenberg, Collin F. Dunlap, Carly E. Swiftney, Adam F. Jacobowitz, Doug J. Weber, Marcia A. Bockbrader, Gaurav Sharma
2020 Cell  
Paralyzed muscles can be reanimated following spinal cord injury (SCI) using a brain-computer interface (BCI) to enhance motor function alone.  ...  Using the closed-loop demultiplexing BCI almost fully restored the ability to detect object touch and significantly improved several sensorimotor functions.  ...  These findings demonstrate a BCI system that simultaneously demultiplexes afferent and efferent activity from human cortex for controlling multiple assistive devices and enhancing function.  ... 
doi:10.1016/j.cell.2020.03.054 pmid:32330415 fatcat:bg3z7s4njfhibk6u5hvmomn2pm

The Effects of Sensory Threshold Somatosensory Electrical Stimulation on Users With Different MI-BCI Performance

Long Chen, Lei Zhang, Zhongpeng Wang, Bin Gu, Xin Zhang, Dong Ming
2022 Frontiers in Neuroscience  
Our results demonstrated that somatosensory input based on st-SES was only beneficial for sensorimotor cortical activation and MI-BCI performance in the Low Performers, but not in the High Performers.  ...  Twenty healthy participants were recruited to perform MI and resting tasks with EEG recordings. These tasks were modulated with or without st-SES.  ...  St-SES, which can provide somatosensory afference to the targeted limb, has been demonstrated to enhance the activation of the sensorimotor cortex during MI tasks and the performance of MI-BCI (Corbet  ... 
doi:10.3389/fnins.2022.909434 fatcat:7mkenrckxzemfjp3murkvt2xny

Enhanced Motor Imagery-Based BCI Performance via Tactile Stimulation on Unilateral Hand

Xiaokang Shu, Lin Yao, Xinjun Sheng, Dingguo Zhang, Xiangyang Zhu
2017 Frontiers in Human Neuroscience  
Moreover, stroke patients in the enhanced-group achieved an accuracy >80% during MI with Uni-TS.  ...  However, due to the poor BCI performance, this technique is still far from daily-life applications. One of critical issues confronting BCI research is how to enhance BCI performance.  ...  Cortical activations during MI tasks with and without stimulation were qualitatively analyzed, and two-class BCI performances in different conditions were evaluated with on-line and off-line pattern classification  ... 
doi:10.3389/fnhum.2017.00585 pmid:29249952 pmcid:PMC5717029 fatcat:yrdnqenzzvhivlfi4owfu6bu5u

A Concept for Extending the Applicability of Constraint-Induced Movement Therapy through Motor Cortex Activity Feedback Using a Neural Prosthesis

Tomas E. Ward, Christopher J. Soraghan, Fiachra Matthews, Charles Markham
2007 Computational Intelligence and Neuroscience  
An illustration of the proposed therapy is described using a simple NIRS system driving a robotic arm during simple upper-limb unilateral isometric contraction exercises with healthy subjects.  ...  This paper describes a concept for the extension of constraint-induced movement therapy (CIMT) through the use of feedback of primary motor cortex activity.  ...  A related concept is the provision of an afferent neural prosthetic for rehabilitation.  ... 
doi:10.1155/2007/51363 pmid:18350129 pmcid:PMC2266825 fatcat:xgdqgtwl4fc5fepbnduup5gdri

Controlling pre-movement sensorimotor rhythm can improve finger extension after stroke

S L Norman, D J McFarland, A Miner, S C Cramer, E T Wolbrecht, J R Wolpaw, D J Reinkensmeyer
2018 Journal of Neural Engineering  
Conclusion BCI technology, paired with robot-assisted movement practice, has shown promise as a tool for enhancing motor recovery after stroke.  ...  In addition, robotic assistance can enhance afferent feedback, which may aid in neural reorganization (Takahashi et al 2008 , Hornby et al 2010 , Rowe et al 2017 .  ... 
doi:10.1088/1741-2552/aad724 pmid:30063219 pmcid:PMC6158016 fatcat:eiiek6glgrf2jaauunzuehqduy

Why we should systematically assess, control and report somatosensory impairments in BCI-based motor rehabilitation after stroke studies

Léa Pillette, Fabien Lotte, Bernard N'Kaoua, Pierre-Alain Joseph, Camille Jeunet, Bertrand Glize
2020 NeuroImage: Clinical  
During the rehabilitation, when patients attempt or imagine performing a movement, BCIs/NF provide them with a synchronized sensory (e.g., tactile) feedback based on their sensorimotor-related brain activity  ...  The co-activation of ascending (i.e., somatosensory) and descending (i.e., motor) networks indeed enables significant functional motor improvement, together with significant sensorimotor-related neurophysiological  ...  This work was supported by the French National Research Agency (project REBEL, grant ANR-15-CE23-0013-01) and the European Research Council with the Brain-Conquest project (grant ERC-2016-STG-714567).  ... 
doi:10.1016/j.nicl.2020.102417 pmid:33039972 pmcid:PMC7551360 fatcat:gcl7ptjx5fg3zl5vhlcwcn45r4

Analysis of Movement-Related Cortical Potentials for Brain-Computer Interfacing in Stroke Rehabilitation [article]

Mads Jochumsen
2015 The PhD Series of theThe PhD Series of the Faculty of Medicine  
Visual feedback can be useful for reward and assisting the patients in operating the BCI, but to enhance the induction of plasticity for motor recovery/learning, afferent somatosensory feedback is crucial  ...  Based on the findings in Study 2, an online BCI system was constructed, and the aim was to evaluate the performance of the system when operated by 12 healthy subjects executing and imagining movements  ... 
doi:10.5278/ fatcat:tn5ytff7nfee5c7huqsetqlv7i

Decoding Sensorimotor Rhythms during Robotic-Assisted Treadmill Walking for Brain Computer Interface (BCI) Applications

Eliana García-Cossio, Marianne Severens, Bart Nienhuis, Jacques Duysens, Peter Desain, Nöel Keijsers, Jason Farquhar, Yuri P. Ivanenko
2015 PLoS ONE  
In order to develop such BCI, it is necessary to evaluate the feasibility to decode walking intention from cortical patterns during robot-assisted gait training.  ...  Therefore, stroke patients with walking disorders might also benefit from using BCI robot-assisted training protocols.  ...  In a follow up study [53] , one able-bodied subject and one subject with paraplegia due to spinal cord injury (SCI), used an EEG prediction model for online BCI operation of the Lokomat.  ... 
doi:10.1371/journal.pone.0137910 pmid:26675472 pmcid:PMC4686050 fatcat:qm47pdacqvbyrftzwyj7qc2ane

Rehabilitation of gait after stroke: a review towards a top-down approach

Juan-Manuel Belda-Lois, Silvia Mena-del Horno, Ignacio Bermejo-Bosch, Juan C Moreno, José L Pons, Dario Farina, Marco Iosa, Marco Molinari, Federica Tamburella, Ander Ramos, Andrea Caria, Teodoro Solis-Escalante (+2 others)
2011 Journal of NeuroEngineering and Rehabilitation  
Functional near infrared spectroscopy (fNIRS) enables researchers to detect signals from specific regions of the cortex during performance of motor activities for the development of future BCIs.  ...  The use of FES combined with different walking retraining strategies has shown to result in improvements in hemiplegic gait.  ...  Acknowledgements This review has been carried out with financial support from the European Commission within the Seventh Framework Programme under contract FP7-ICT-2009-247935: BETTER BNCI-driven Robotic  ... 
doi:10.1186/1743-0003-8-66 pmid:22165907 pmcid:PMC3261106 fatcat:fbtks2sxbjgnramujb6hqfzvq4

EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review

Maged AL-Quraishi, Irraivan Elamvazuthi, Siti Daud, S. Parasuraman, Alberto Borboni
2018 Sensors  
It is systematically performed to provide a wealthy image and grounded evidence of the current state of research covering EEG-based control for assistive rehabilitation devices to all the experts and scientists  ...  The first aim is to systematically gather, summarize, evaluate and synthesize information regarding the accuracy and the value of previous research published in the literature between 2011 and 2018.  ...  While in the online task the average performance was 7.4 ± 2.3 with successful stops in 273 ± 51 s.  ... 
doi:10.3390/s18103342 fatcat:nacqsogy5jfdvnq2pzviasdqdy

Interventional Spasticity Management for Enhancing Patient – Physician Communications

2014 International Journal of Advanced Computer Science and Applications  
For the control of human locomotion, afferent information from a variety of sources within the visual, vestibular, and proprioceptive systems is utilized by the CPGs.  ...  Spasticity is commonly defined as excessive motor activity characterized by a velocity-dependent increase in tonic stretch reflexes.  ...  assistance.  ... 
doi:10.14569/ijacsa.2014.050305 fatcat:4hk2yrkqongi3lc3lwucdk62zu

Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking

Trieu Phat Luu, Sho Nakagome, Yongtian He, Jose L. Contreras-Vidal
2017 Scientific Reports  
A study with an active treadmill demonstrated that user-driven control increases cortical activity 8 .  ...  BCIs for the lower-limbs were proposed in offline analysis 12-15 , and validated in a discrete online control of an exoskeleton 16 and a walking avatar in virtual reality (VR) 17 .  ...  online monitoring of performance 39 .  ... 
doi:10.1038/s41598-017-09187-0 pmid:28827542 pmcid:PMC5567182 fatcat:pydy72uspvasjdocfwbk7ufkbu

Brain-computer interface with somatosensory feedback improves functional recovery from severe hemiplegia due to chronic stroke

Takashi Ono, Keiichiro Shindo, Kimiko Kawashima, Naoki Ota, Mari Ito, Tetsuo Ota, Masahiko Mukaino, Toshiyuki Fujiwara, Akio Kimura, Meigen Liu, Junichi Ushiba
2014 Frontiers in Neuroengineering  
All the participants received 1-h BCI treatment with 12-20 training days.  ...  Although the present study was conducted with a limited number of patients, these results imply that BCI training with somatosensory feedback could be more effective for rehabilitation than with visual  ...  Six participants performed BCI training with visual feedback and six participants performed BCI training with somatosensory feedback.  ... 
doi:10.3389/fneng.2014.00019 pmid:25071543 pmcid:PMC4083225 fatcat:iht2gedennddhi6h5me366szja

Achieving Neural Compatibility with Human Sensorimotor Control in Prosthetic and Therapeutic Devices

Ning Lan, Chuanxin M. Niu, Manzhao Hao, Chih-Hong Chou, Chenyun Dai
2019 IEEE Transactions on Medical Robotics and Bionics  
We argue that providing biomimetic control and sensing capacity to prosthetic and therapeutic devices can enhance their neural compatibility, and therefore, can yield greater functionality in performing  ...  Traditional wisdom in the design of prosthetic and therapeutic devices may have emphasized the need to provide users with apparatus that replace or assist motor ability.  ...  To name a few, a therapeutic device is expected to switch flexibly between assistance and resistance, as both patterns may enhance motor learning [153] , which is not usually performed in neural prosthesis  ... 
doi:10.1109/tmrb.2019.2930356 fatcat:srs6eddhqjaydnpro6tsmndrrq

The sensory side of post-stroke motor rehabilitation

Nadia Bolognini, Cristina Russo, Dylan J. Edwards
2016 Restorative Neurology and Neuroscience  
ongoing and planned motor activity.  ...  Although successful movement relies on efficient sensorimotor integration, functional outcomes often bias motor therapy toward motor-related impairments such as weakness, spasticity and synergies; sensory  ...  Beaulieu for their assistance with the manuscript.  ... 
doi:10.3233/rnn-150606 pmid:27080070 pmcid:PMC5605470 fatcat:zvvxf5ntbbe3pncuel4tq54zo4
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