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Restoring the Sense of Touch Using a Sensorimotor Demultiplexing Neural Interface
2020
Cell
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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
2022
Frontiers in Neuroscience
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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
2017
Frontiers in Human Neuroscience
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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
2007
Computational Intelligence and Neuroscience
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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
2018
Journal of Neural Engineering
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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
2020
NeuroImage: Clinical
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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]
2015
The PhD Series of theThe PhD Series of the Faculty of Medicine
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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/vbn.phd.med.00007
fatcat:tn5ytff7nfee5c7huqsetqlv7i
Decoding Sensorimotor Rhythms during Robotic-Assisted Treadmill Walking for Brain Computer Interface (BCI) Applications
2015
PLoS ONE
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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
2011
Journal of NeuroEngineering and Rehabilitation
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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
2018
Sensors
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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
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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
2017
Scientific Reports
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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
2014
Frontiers in Neuroengineering
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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
2019
IEEE Transactions on Medical Robotics and Bionics
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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
2016
Restorative Neurology and Neuroscience
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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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