A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Filters
Brain oscillatory activity as a biomarker of motor recovery in chronic stroke
2019
Human Brain Mapping
The neurophysiological data of 30 chronic stroke patients with severe upper-limb paralysis are the basis of the observational study presented here. ...
In all patients, a progressive shift of desynchronization toward the ipsilesional hemisphere correlates significantly with clinical improvement regardless of lesion location. ...
correlate with recovery in severely paralyzed chronic stroke patients. ...
doi:10.1002/hbm.24876
pmid:31778265
fatcat:2332hpi2sjbvxo3vgwb6f2kcne
Brain–computer interface in paralysis
2008
Current Opinion in Neurology
to reconstruct movements in the lesioned brain, the paralyzed body parts, or both. ...
locked-in syndrome and movement restoration in chronic stroke, but controlled phase III clinical trials with larger populations of severely disturbed patients are urgently needed. ...
to this topic can also be found in the Current World Literature section in this issue (p. 764). ...
doi:10.1097/wco.0b013e328315ee2d
pmid:18989104
fatcat:gphzfkllyfagllnoe3n6uftp2e
On the design of EEG-based movement decoders for completely paralyzed stroke patients
2018
Journal of NeuroEngineering and Rehabilitation
Conclusions: This paper underscores the relevance of the different parameters used to decode movement, using EEG in severely paralyzed stroke patients. ...
Brain machine interface (BMI) technology has demonstrated its efficacy for rehabilitation of paralyzed chronic stroke patients. ...
To date, different BMI designs have been proposed to decode movement commands in severely or completely paralyzed stroke patients. ...
doi:10.1186/s12984-018-0438-z
pmid:30458838
pmcid:PMC6247630
fatcat:fpxsocldynf3rikqhw5kywswhm
How the brain recovers following damage
2005
Nature Neuroscience
A new paper uses functional imaging to show that a restricted lesion, usually caused by a stroke, may influence the network of areas associated with attention shifts. Yalçin Abdullaev and Michael I. ...
Posner are in the ...
Among patients with neglect, those with right hemisphere lesions, who show a chronic rightward bias, may also be helped by inhibiting left superior parietal lobe activity 1 . ...
doi:10.1038/nn1105-1424
pmid:16251978
fatcat:q5ibfu3opvdzbjzxfxdtlwceta
Neurorehabilitation therapy of patients with severe stroke based on functional electrical stimulation commanded by a brain computer interface
2018
Journal of Rehabilitation and Assistive Technologies Engineering
Eight severe chronic stroke patients were recruited. The study consisted of two stages: screening and therapy. ...
Spasticity, motor activity, range of movement and quality of life were also evaluated (secondary outcomes). Desynchronization was identified in all screened patients. ...
) for chronic patients with sequelae of ischemic stroke. ...
doi:10.1177/2055668318789280
pmid:31191948
pmcid:PMC6453036
fatcat:ioyn7o6c7bakdby5lamnsskqzq
Dynamics of a Stimulation-evoked ECoG Potential During Stroke Rehabilitation - A Case Study
english
2013
Proceedings of the International Congress on Neurotechnology, Electronics and Informatics
english
In this paper, the stimulation-evoked brain activity from a patient with implanted epidural electrodes undergoing an intervention using of brain-computer interfaces combined with cortical stimulation for ...
training, a significantly smaller latency if the patient attempted to move his paralyzed hand compared to rest and a significant correlation of the latency with the spectral power of the ECoG signal. ...
An earlier study with combined EEG and TMS had identified movement-related changes in the evoked brain activity for an N100 component (Nikulin et al., 2003) . ...
doi:10.5220/0004644302410248
dblp:conf/neurotechnix/WalterNSRGB13
fatcat:yf6t5bw6wzhhnayl4ad5hlnb7m
Use of Electroencephalography Brain-Computer Interface Systems as a Rehabilitative Approach for Upper Limb Function After a Stroke: A Systematic Review
2017
PMR
in subjects with stroke. 29 ...
Methodology.This systematic review compiles all available studies that assess an upper 11 limb intervention based on an electroencefalography-based brain computer interface 12 systems in patients with ...
Brain-computer 570 interface with somatosensory feedback improves functional recovery from 571 severe hemiplegia due to chronic stroke. Front Neuroeng. 2014; 7(7): 19.572 58. ...
doi:10.1016/j.pmrj.2017.04.016
pmid:28512066
fatcat:2oo2sql2u5gdraqbjbfpzumqbu
Functional synergy recruitment index as a reliable biomarker of motor function and recovery in chronic stroke patients
2021
Journal of Neural Engineering
Stroke affects the expression of muscle synergies underlying motor control, most notably in patients with poorer motor function. ...
In contrast, FSRI values during specific or combined movement data significantly correlated with upper limb motor function and recovery scores. ...
Acknowledgments We thank R Massimiliano, L Läer, O Yilmaz, F L Brasil, G Liberati, M R Curado, A Vyziotis, W Cho, M Agostini, E Soares, S Soekadar, A Caria and L G Cohen for their participation in data ...
doi:10.1088/1741-2552/abe244
pmid:33530072
fatcat:f6t5oxpc2nhe5emfzs5tes3i4y
Event-related desynchronization during movement attempt and execution in severely paralyzed stroke patients: An artifact removal relevance analysis
2018
NeuroImage: Clinical
Data from 31 severely paralyzed stroke patients performing/attempting grasping movements with their healthy/paralyzed hand were analyzed offline. ...
In this paper, we study how physiological artifacts (i.e., eye movements, motion artifacts, muscle artifacts and compensatory movements with the other limb) can affect EEG activity of stroke patients. ...
Acknowledgments The authors thank all the people involved in the data recording for their hard work. ...
doi:10.1016/j.nicl.2018.09.035
pmid:30312940
pmcid:PMC6180341
fatcat:er27jox5mfcfthzpjv32pxjkcu
Therapeutic applications of BCI technologies
2017
Brain-Computer Interfaces
Brain-computer interface (BCI) technology can restore communication and control to people who are severely paralyzed. ...
This survey considers possible ways that BCI technology can be applied to motor rehabilitation following stroke, Parkinson's disease, and psychiatric disorders. ...
Acknowledgments This work was supported in part by the following: NIH 1P41EB018783; the Department of Veterans Affairs Rehabilitation research and Development Service grant B9024S. ...
doi:10.1080/2326263x.2017.1307625
pmid:29527538
pmcid:PMC5843196
fatcat:wzyid6vcvrhlrnvllar6d3xire
Neuromodulation of lower limb motor control in restorative neurology
2012
Clinical neurology and neurosurgery (Dutch-Flemish ed. Print)
The availability of portable stimulators further led to multi-site FES to generate standing and some stepping-movements in paraplegic patients and to augment gait rehabilitation in patients with incomplete ...
Deep brain stimulation with implanted 0303-8467 ...
Electrical epidural SCS can alleviate various disorders of the motor system in patients with SCI, multiple sclerosis (MS), cerebral palsy, and people with post-traumatic and post-stroke brain injury [ ...
doi:10.1016/j.clineuro.2012.03.013
pmid:22464657
pmcid:PMC3341569
fatcat:2yxgwqchv5hilpq52rmctngmhu
Challenges in clinical applications of brain computer interfaces in individuals with spinal cord injury
2014
Frontiers in Neuroengineering
Over the last years the technology of BCIs has reached a level of matureness allowing them to be used not only in research experiments supervised by scientists, but also in clinical routine with patients ...
However, clinicians and patients face many challenges in the application of BCIs. ...
groups like stroke survivors or patients with traumatic brain injury. ...
doi:10.3389/fneng.2014.00038
pmid:25309420
pmcid:PMC4174119
fatcat:xx5ux2felnasxdbonys5uqiqvi
Review of Machine Learning Algorithms for Brain Stroke Diagnosis and Prognosis by EEG Analysis
[article]
2020
arXiv
pre-print
Machine learning, specifically techniques that utilize Brain-Computer Interfaces (BCIs) to help the patient either restore neurologic pathways or effectively communicate with an electronic prosthetic, ...
In this review, sources that design and implement BCIs for treatment of stroke patients are evaluated and categorized based on their successful applications for stroke diagnosis or stroke rehabilitation ...
that event-related desynchronization (ERD) or event-related synchronization (ERS) occurs in healthy patients as well as stroke patients. 28 Most studies use a combination of stroke patients and healthy ...
arXiv:2008.08118v1
fatcat:ipt2pr5xdfe7lhn7llo7migycu
Using EEG-based brain computer interface and neurofeedback targeting sensorimotor rhythms to improve motor skills: Theoretical background, applications and prospects
2019
Neurophysiologie clinique
Third, the main findings 9 regarding BCI/neurofeedback efficiency in patients with hypokinetic activities (in particular, 10 motor deficit following stroke) as well as in patients with hyperkinetic activities ...
healthy subjects and patients with motor disabilities. ...
SMR training procedure on brain 16 plasticity and recovery after stroke. 17 A 2013 randomized double blind controlled study included 32 patients with stroke without 18 residual finger movements [80]. ...
doi:10.1016/j.neucli.2018.10.068
pmid:30414824
fatcat:6iyrgbewjvejnppj5sfru3wysy
Myoglobinuria with paralysis (Meyer-Betz disease): report of a case
1951
A M A Archives of Neurology & Psychiatry
Neither type of lesion showed any predilection for a specific location. ...
The histories and necropsy studies of 542 patients with acute cerebral apoplexy were reviewed. Focal brain damage in the nature of hemorrhage was present in 227 and encephalomalacia in 315. ...
pmid:14846435
fatcat:6ggqunw2svdvhhl3ehh4yp4qj4
« Previous
Showing results 1 — 15 out of 928 results