Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke
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J. Millán | A. Schnider | R. Leeb | S. Perdikis | A. Biasiucci | I. Iturrate | A. Al-Khodairy | T. Corbet | T. Schmidlin | H. Zhang | M. Bassolino | D. Viceic | P. Vuadens | A. Guggisberg | J. Millán | Huaijian Zhang | Michela Bassolino | Thomas Schmidlin
[1] Gwyn McClelland. Survivors , 1891, The Hospital.
[2] J. Raven. TESTING THE MENTAL ABILITY OF ADULTS , 1942 .
[3] O. J. Espinosa. [Hemiplegia]. , 1957, Medicina.
[4] S. Rees,et al. Renshaw cell activity in man1 , 1973, Journal of neurology, neurosurgery, and psychiatry.
[5] N. Miller,et al. An operant approach to rehabilitation medicine: overcoming learned nonuse by shaping. , 1994, Journal of the experimental analysis of behavior.
[6] J R Wolpaw,et al. Spatial filter selection for EEG-based communication. , 1997, Electroencephalography and clinical neurophysiology.
[7] M. Granat,et al. Electrical stimulation of wrist extensors in poststroke hemiplegia. , 1999, Stroke.
[8] Mingzhou Ding,et al. Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance , 2001, Biological Cybernetics.
[9] Timothy S Miles,et al. Changes in corticomotor representations induced by prolonged peripheral nerve stimulation in humans , 2001, Clinical Neurophysiology.
[10] L. Cohen,et al. Increase in hand muscle strength of stroke patients after somatosensory stimulation , 2002, Annals of neurology.
[11] M. Kaminski,et al. Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method , 2003, Journal of Neuroscience Methods.
[12] Richard S. J. Frackowiak,et al. Neural correlates of motor recovery after stroke: a longitudinal fMRI study. , 2003, Brain : a journal of neurology.
[13] D N Rushton,et al. Functional electrical stimulation and rehabilitation--an hypothesis. , 2003, Medical engineering & physics.
[14] C. Braun,et al. Motor learning elicited by voluntary drive. , 2003, Brain : a journal of neurology.
[15] L. Cohen,et al. Influence of interhemispheric interactions on motor function in chronic stroke , 2004, Annals of neurology.
[16] M. Sur,et al. Patterning and Plasticity of the Cerebral Cortex , 2005, Science.
[17] Jürgen Brockmöller,et al. Pharmacogenetics-based therapeutic recommendations — ready for clinical practice? , 2005, Nature Reviews Drug Discovery.
[18] Rick M Dijkhuizen,et al. Structural and functional plasticity in the somatosensory cortex of chronic stroke patients. , 2006, Brain : a journal of neurology.
[19] J. P. Miller,et al. Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. , 2006, JAMA.
[20] J. Guardia,et al. Feature Extraction for Multi-class BCI using Canonical Variates Analysis , 2007, 2007 IEEE International Symposium on Intelligent Signal Processing.
[21] B. Dobkin. Brain–computer interface technology as a tool to augment plasticity and outcomes for neurological rehabilitation , 2007, The Journal of physiology.
[22] Thomas Sinkjær,et al. Cortical excitability changes following grasping exercise augmented with electrical stimulation , 2008, Experimental Brain Research.
[23] J. Wolpaw,et al. Brain–computer interfaces in neurological rehabilitation , 2008, The Lancet Neurology.
[24] G. Alon,et al. Functional Electrical Stimulation (FES) May Modify the Poor Prognosis of Stroke Survivors with Severe Motor Loss of the Upper Extremity: A Preliminary Study , 2008, American journal of physical medicine & rehabilitation.
[25] E. Fetz,et al. Direct control of paralyzed muscles by cortical neurons , 2008, Nature.
[26] J. Krakauer,et al. Neurorehabilitation and Neural Repair Inter-individual Variability in the Capacity for Motor Recovery after Ischemic Stroke Neurorehabilitation and Neural Repair Additional Services and Information for Inter-individual Variability in the Capacity for Motor Recovery after Ischemic Stroke , 2022 .
[27] Ethan R. Buch,et al. Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke , 2008, Stroke.
[28] Mark E. Dohring,et al. Feasibility of a New Application of Noninvasive Brain Computer Interface (BCI): A Case Study of Training for Recovery of Volitional Motor Control After Stroke , 2009, Journal of neurologic physical therapy : JNPT.
[29] Janet L. Taylor,et al. Voluntary Motor Output Is Altered by Spike-Timing-Dependent Changes in the Human Corticospinal Pathway , 2009, The Journal of Neuroscience.
[30] G. Prasad,et al. Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study , 2010, Journal of NeuroEngineering and Rehabilitation.
[31] C. Neuper,et al. Combining Brain–Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges , 2010, Front. Neurosci..
[32] C. Braun,et al. Combination of Brain-Computer Interface Training and Goal-Directed Physical Therapy in Chronic Stroke: A Case Report , 2010, Neurorehabilitation and neural repair.
[33] D. F. Collins,et al. Neuromuscular electrical stimulation: implications of the electrically evoked sensory volley , 2011, European Journal of Applied Physiology.
[34] Simon B. Eickhoff,et al. Dynamic causal modeling of cortical activity from the acute to the chronic stage after stroke , 2011, NeuroImage.
[35] C. Braun,et al. Chronic stroke recovery after combined BCI training and physiotherapy: a case report. , 2011, Psychophysiology.
[36] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[37] A. Pollock,et al. Top ten research priorities relating to life after stroke , 2012, The Lancet Neurology.
[38] Christoph M. Michel,et al. The behavioral significance of coherent resting-state oscillations after stroke , 2012, NeuroImage.
[39] S. Page,et al. Clinically Important Differences for the Upper-Extremity Fugl-Meyer Scale in People With Minimal to Moderate Impairment Due to Chronic Stroke , 2012, Physical Therapy.
[40] Jonas B. Zimmermann,et al. Neural interfaces for the brain and spinal cord—restoring motor function , 2012, Nature Reviews Neurology.
[41] David J. Guggenmos,et al. Restoration of function after brain damage using a neural prosthesis , 2013, Proceedings of the National Academy of Sciences.
[42] A. Schwartz,et al. High-performance neuroprosthetic control by an individual with tetraplegia , 2013, The Lancet.
[43] W. Martin Usrey,et al. Attention Enhances Synaptic Efficacy and Signal-to-Noise in Neural Circuits , 2013, Nature.
[44] José del R. Millán,et al. Transferring brain-computer interfaces beyond the laboratory: Successful application control for motor-disabled users , 2013, Artif. Intell. Medicine.
[45] Silvestro Micera,et al. Brain–machine interface: closer to therapeutic reality? , 2013, The Lancet.
[46] L. Cohen,et al. Brain–machine interface in chronic stroke rehabilitation: A controlled study , 2013, Annals of neurology.
[47] J. Bornstein,et al. Effects of oxaliplatin on mouse myenteric neurons and colonic motility , 2013, Front. Neurosci..
[48] Elke Edelmann,et al. Dopamine regulates intrinsic excitability thereby gating successful induction of spike timing-dependent plasticity in CA1 of the hippocampus , 2013, Front. Neurosci..
[49] N. Birbaumer,et al. Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After Stroke , 2013, Neurorehabilitation and neural repair.
[50] J. Millán,et al. Personalized Neuroprosthetics , 2013, Science Translational Medicine.
[51] Akio Kimura,et al. Efficacy of brain-computer interface-driven neuromuscular electrical stimulation for chronic paresis after stroke. , 2014, Journal of rehabilitation medicine.
[52] G. Courtine,et al. Muscle Spindle Feedback Directs Locomotor Recovery and Circuit Reorganization after Spinal Cord Injury , 2014, Cell.
[53] 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..
[54] V. Dietz,et al. Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomised trial , 2014, The Lancet Neurology.
[55] G. Fink,et al. Connectivity-based approaches in stroke and recovery of function , 2014, The Lancet Neurology.
[56] 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..
[57] E-J Hoogerwerf,et al. Clinical evaluation of BrainTree, a motor imagery hybrid BCI speller , 2014, Journal of neural engineering.
[58] Lucy Dodakian,et al. Connectivity measures are robust biomarkers of cortical function and plasticity after stroke. , 2015, Brain : a journal of neurology.
[59] M. Molinari,et al. Brain–computer interface boosts motor imagery practice during stroke recovery , 2015, Annals of neurology.
[60] A. Daffertshofer,et al. Generalizability of the Proportional Recovery Model for the Upper Extremity After an Ischemic Stroke , 2015, Neurorehabilitation and neural repair.
[61] Matthew A Petoe,et al. Proportional recovery after stroke depends on corticomotor integrity , 2015, Annals of neurology.
[62] Jessica P McCabe,et al. Recovery of post stroke proximal arm function, driven by complex neuroplastic bilateral brain activation patterns and predicted by baseline motor dysfunction severity , 2015, Front. Hum. Neurosci..
[63] José del R. Millán,et al. Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities , 2015, Proceedings of the IEEE.
[64] L. Miller,et al. Brain-controlled neuromuscular stimulation to drive neural plasticity and functional recovery , 2015, Current Opinion in Neurobiology.
[65] Armin Schnider,et al. Coherent neural oscillations predict future motor and language improvement after stroke. , 2015, Brain : a journal of neurology.
[66] Ethan R. Buch,et al. Predicting motor improvement after stroke with clinical assessment and diffusion tensor imaging , 2016, Neurology.
[67] A. Pavlovic,et al. Efficient neuroplasticity induction in chronic stroke patients by an associative brain-computer interface. , 2016, Journal of neurophysiology.
[68] Nicholas V. Annetta,et al. Restoring cortical control of functional movement in a human with quadriplegia , 2016, Nature.
[69] J. Pons,et al. Corrigendum: Low Latency Estimation of Motor Intentions to Assist Reaching Movements along Multiple Sessions in Chronic Stroke Patients: A Feasibility Study , 2017, Front. Neurosci..
[70] 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..
[71] Francis R. Willett,et al. Restoration of reaching and grasping in a person with tetraplegia through brain-controlled muscle stimulation: a proof-of-concept demonstration , 2017, The Lancet.
[72] Gerwin Schalk,et al. Contralesional Brain–Computer Interface Control of a Powered Exoskeleton for Motor Recovery in Chronic Stroke Survivors , 2017, Stroke.
[73] Serafeim Perdikis,et al. mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation , 2018, IEEE Robotics and Automation Letters.