EMG- Versus EEG-Triggered Electrical Stimulation for Inducing Corticospinal Plasticity
暂无分享,去创建一个
Mads Jochumsen | Usman Rashid | Heidi Haavik | I. Niazi | M. Jochumsen | Usman Rashid | H. Haavik | M. S. Navid | Muhammad S. Navid | Imran K. Niazi | Heidi Haavik | Mads Jochumsen
[1] Mads Jochumsen,et al. Comparison of spatial filters and features for the detection and classification of movement-related cortical potentials in healthy individuals and stroke patients , 2015, Journal of neural engineering.
[2] L. Cohen,et al. Brain–machine interface in chronic stroke rehabilitation: A controlled study , 2013, Annals of neurology.
[3] Moritz Grosse-Wentrup,et al. Using brain–computer interfaces to induce neural plasticity and restore function , 2011, Journal of neural engineering.
[4] Mads Jochumsen,et al. Pairing Voluntary Movement and Muscle-Located Electrical Stimulation Increases Cortical Excitability , 2016, Front. Hum. Neurosci..
[5] N. Birbaumer,et al. Brain–computer interfaces for communication and rehabilitation , 2016, Nature Reviews Neurology.
[6] Domenico Formica,et al. Modulation of brain plasticity in stroke: a novel model for neurorehabilitation , 2014, Nature Reviews Neurology.
[7] E. Biryukova,et al. Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial , 2017, Front. Neurosci..
[8] Etienne Burdet,et al. Is EMG a Viable Alternative to BCI for Detecting Movement Intention in Severe Stroke? , 2018, IEEE Transactions on Biomedical Engineering.
[9] Dario Farina,et al. Detecting and classifying movement-related cortical potentials associated with hand movements in healthy subjects and stroke patients from single-electrode, single-trial EEG , 2015, Journal of neural engineering.
[10] Meinhard Kieser,et al. Blinded versus Unblinded Covariate Selection in Confirmatory Survival Trials , 2014, Journal of biopharmaceutical statistics.
[11] S. Obayashi,et al. The effects of electromyography-controlled functional electrical stimulation on upper extremity function and cortical perfusion in stroke patients , 2013, Clinical Neurophysiology.
[12] Ning Jiang,et al. Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked Potentials , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[13] Manuel Koller,et al. robustlmm : An R Package for Robust Estimation of Linear Mixed-Effects Models , 2016 .
[14] Twisk J,et al. Different ways to estimate treatment effects in randomised controlled trials , 2018, Contemporary clinical trials communications.
[15] Mads Jochumsen,et al. Paired Associative Stimulation Delivered by Pairing Movement‐Related Cortical Potentials With Peripheral Electrical Stimulation: An Investigation of the Duration of Neuromodulatory Effects , 2018, Neuromodulation : journal of the International Neuromodulation Society.
[16] Mads Jochumsen,et al. Investigation of Optimal Afferent Feedback Modality for Inducing Neural Plasticity with A Self-Paced Brain-Computer Interface , 2018, Sensors.
[17] A. Pavlovic,et al. Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface. , 2016, Journal of neurophysiology.
[18] Keum-Shik Hong,et al. Motor-commands decoding using peripheral nerve signals: a review , 2018, Journal of neural engineering.
[19] José Luis Pons Rovira,et al. A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity , 2014, IEEE Transactions on Biomedical Engineering.
[20] G. Lewis,et al. Short-term Effects of Electrical Stimulation and Voluntary Activity on Corticomotor Excitability in Healthy Individuals and People With Stroke , 2012, Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society.
[21] Thomas Sinkjaer,et al. Motor cortex excitability following repetitive electrical stimulation of the common peroneal nerve depends on the voluntary drive , 2005, Experimental Brain Research.
[22] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[23] A. Behrman,et al. Chronic motor dysfunction after stroke: recovering wrist and finger extension by electromyography-triggered neuromuscular stimulation. , 2000, Stroke.
[24] Thomas Sinkjaer,et al. Increase in tibialis anterior motor cortex excitability following repetitive electrical stimulation of the common peroneal nerve , 2003, Experimental Brain Research.
[25] M. Ridding,et al. Determinants of the induction of cortical plasticity by non‐invasive brain stimulation in healthy subjects , 2010, The Journal of physiology.
[26] R. D'Agostino,et al. The influence of gender and age on disability following ischemic stroke: the Framingham study. , 2003, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.
[27] J. Wolpaw,et al. Brain–computer interfaces in neurological rehabilitation , 2008, The Lancet Neurology.
[28] Keum Shik Hong,et al. Effects of HD-tDCS on Resting-State Functional Connectivity in the Prefrontal Cortex: An fNIRS Study , 2018, Complex..
[29] S. Micera,et al. EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study , 2013, Journal of NeuroEngineering and Rehabilitation.
[30] M. Hallett,et al. Modulation of muscle responses evoked by transcranial magnetic stimulation during the acquisition of new fine motor skills. , 1995, Journal of neurophysiology.
[31] T. Ward,et al. Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke. , 2015, Annals of physical and rehabilitation medicine.
[32] Cuntai Guan,et al. Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic stroke , 2014, Front. Neuroeng..
[33] Dario Farina,et al. Online multi-class brain-computer interface for detection and classification of lower limb movement intentions and kinetics for stroke rehabilitation , 2015 .
[34] Ning Jiang,et al. Detection of Movement Related Cortical Potentials from EEG Using Constrained ICA for Brain-Computer Interface Applications , 2017, Front. Neurosci..
[35] Ping Zhou,et al. High-Density Myoelectric Pattern Recognition Toward Improved Stroke Rehabilitation , 2012, IEEE Transactions on Biomedical Engineering.
[36] J. Millán,et al. Detection of self-paced reaching movement intention from EEG signals , 2012, Front. Neuroeng..
[37] D. Farina,et al. Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticity , 2012, The Journal of physiology.
[38] Byron C. Jaeger,et al. An R2 statistic for fixed effects in the generalized linear mixed model , 2017 .
[39] Brittany M. Young,et al. Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface device , 2014, Front. Neuroeng..
[40] V. Feigin,et al. Global and regional burden of stroke during 1990–2010: findings from the Global Burden of Disease Study 2010 , 2014, The Lancet.
[41] Ning Jiang,et al. Enhanced Low-Latency Detection of Motor Intention From EEG for Closed-Loop Brain-Computer Interface Applications , 2014, IEEE Transactions on Biomedical Engineering.
[42] S. Rossi,et al. Safety, ethical considerations, and application guidelines for the use of transcranial magnetic stimulation in clinical practice and research , 2009, Clinical Neurophysiology.
[43] Cuntai Guan,et al. A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke , 2015, Clinical EEG and neuroscience.
[44] Junichi Ushiba,et al. A new therapeutic application of brain-machine interface (BMI) training followed by hybrid assistive neuromuscular dynamic stimulation (HANDS) therapy for patients with severe hemiparetic stroke: A proof of concept study. , 2016, Restorative neurology and neuroscience.
[45] J. Millán,et al. Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke , 2018, Nature Communications.
[46] D. Farina,et al. Detection of movement intention from single-trial movement-related cortical potentials , 2011, Journal of neural engineering.
[47] P. Langhorne,et al. Motor recovery after stroke: a systematic review , 2009, The Lancet Neurology.
[48] S. R. Searle,et al. Population Marginal Means in the Linear Model: An Alternative to Least Squares Means , 1980 .
[49] H. S. Jørgensen,et al. The Copenhagen Stroke Study experience. , 1996, Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association.
[50] J. Schaechter. Motor rehabilitation and brain plasticity after hemiparetic stroke , 2004, Progress in Neurobiology.
[51] J. Krakauer. Motor learning: its relevance to stroke recovery and neurorehabilitation. , 2006, Current opinion in neurology.