Brain-machine interface (BMI) in paralysis.

[1]  J. T. Fischer,et al.  Time- but not sleep-dependent consolidation of tDCS-enhanced visuomotor skills. , 2015, Cerebral cortex.

[2]  C. A. Ruf,et al.  Brain communication in a completely locked-in patient using bedside near-infrared spectroscopy , 2014, Neurology.

[3]  L. Cohen,et al.  Brain–machine interface in chronic stroke rehabilitation: A controlled study , 2013, Annals of neurology.

[4]  Nicole Wenderoth,et al.  Is Motor Learning Mediated by tDCS Intensity? , 2013, PloS one.

[5]  C. A. Ruf,et al.  Brain communication in the locked-in state. , 2013, Brain : a journal of neurology.

[6]  N. Birbaumer,et al.  Learned regulation of brain metabolism , 2013, Trends in Cognitive Sciences.

[7]  Wei He,et al.  Performance of Motor Imagery Brain-Computer Interface Based on Anodal Transcranial Direct Current Stimulation Modulation , 2013, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[8]  S. Lefebvre,et al.  Dual-tDCS Enhances Online Motor Skill Learning and Long-Term Retention in Chronic Stroke Patients , 2013, Front. Hum. Neurosci..

[9]  J. Millán,et al.  Motor Recovery After Stroke by Means of BCI-Guided Functional Electrical Stimulation , 2013 .

[10]  Robert Riener,et al.  Detection of motor execution using a hybrid fNIRS-biosignal BCI: a feasibility study , 2013, Journal of NeuroEngineering and Rehabilitation.

[11]  V. Caggiano,et al.  Proprioceptive Feedback and Brain Computer Interface (BCI) Based Neuroprostheses , 2012, PloS one.

[12]  Christian Gerloff,et al.  Modulation of Training by Single-Session Transcranial Direct Current Stimulation to the Intact Motor Cortex Enhances Motor Skill Acquisition of the Paretic Hand , 2012, Stroke.

[13]  Cuntai Guan,et al.  Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Aaron C. Koralek,et al.  Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills , 2012, Nature.

[15]  Mark Hallett,et al.  Self-modulation of primary motor cortex activity with motor and motor imagery tasks using real-time fMRI-based neurofeedback , 2012, NeuroImage.

[16]  J. Ushiba,et al.  Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study. , 2011, Journal of rehabilitation medicine.

[17]  C. Braun,et al.  Chronic stroke recovery after combined BCI training and physiotherapy: a case report. , 2011, Psychophysiology.

[18]  Ricardo Chavarriaga,et al.  A hybrid brain–computer interface based on the fusion of electroencephalographic and electromyographic activities , 2011, Journal of neural engineering.

[19]  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.

[20]  S. Gielen,et al.  The brain–computer interface cycle , 2009, Journal of neural engineering.

[21]  Ethan R. Buch,et al.  Noninvasive cortical stimulation enhances motor skill acquisition over multiple days through an effect on consolidation , 2009, Proceedings of the National Academy of Sciences.

[22]  L. Cohen,et al.  Brain–computer interface in paralysis , 2008, Current opinion in neurology.

[23]  N. Birbaumer,et al.  Brain–computer interfaces and communication in paralysis: Extinction of goal directed thinking in completely paralysed patients? , 2008, Clinical Neurophysiology.

[24]  Ethan R. Buch,et al.  Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic Stroke , 2008, Stroke.

[25]  Á. Pascual-Leone,et al.  Technology Insight: noninvasive brain stimulation in neurology—perspectives on the therapeutic potential of rTMS and tDCS , 2007, Nature Clinical Practice Neurology.

[26]  L. Cohen,et al.  Brain–computer interfaces: communication and restoration of movement in paralysis , 2007, The Journal of physiology.

[27]  Cuntai Guan,et al.  Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain–computer interface , 2007, NeuroImage.

[28]  N. Birbaumer.  Breaking the silence: brain-computer interfaces (BCI) for communication and motor control. , 2006, Psychophysiology.

[29]  Niels Birbaumer,et al.  Brain–computer-interface research: Coming of age , 2006, Clinical Neurophysiology.

[30]  D. Beukelman,et al.  Augmentative & Alternative Communication: Supporting Children & Adults With Complex Communication Needs , 2006 .

[31]  A. Luft,et al.  Repetitive bilateral arm training and motor cortex activation in chronic stroke: a randomized controlled trial. , 2004, JAMA.

[32]  M. Nicolelis,et al.  Differential Corticostriatal Plasticity during Fast and Slow Motor Skill Learning in Mice , 2004, Current Biology.

[33]  Dieter Nattkemper,et al.  The role of anticipation and intention in the learning of effects of self-performed actions , 2004, Psychological research.

[34]  Gary H. Glover,et al.  Learned regulation of spatially localized brain activation using real-time fMRI , 2004, NeuroImage.

[35]  M. Hallett,et al.  Contribution of the ipsilateral motor cortex to recovery after chronic stroke , 2003, Annals of neurology.

[36]  D. Boas,et al.  Non-invasive neuroimaging using near-infrared light , 2002, Biological Psychiatry.

[37]  N. Birbaumer,et al.  Brain-computer communication: self-regulation of slow cortical potentials for verbal communication. , 2001, Archives of physical medicine and rehabilitation.

[38]  N. Logothetis,et al.  Neurophysiological investigation of the basis of the fMRI signal , 2001, Nature.

[39]  G. R. Muller,et al.  Brain oscillations control hand orthosis in a tetraplegic , 2000, Neuroscience Letters.

[40]  F. L. D. Silva,et al.  Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.

[41]  H. Flor,et al.  A spelling device for the paralysed , 1999, Nature.

[42]  N. Birbaumer.  slow Cortical Potentials: Plasticity, Operant Control, and Behavioral Effects , 1999 .

[43]  T. Münte,et al.  Alteration of early components of the visual evoked potential in amyotrophic lateral sclerosis , 1998, Journal of Neurology.

[44]  N. Miller,et al.  Technique to improve chronic motor deficit after stroke. , 1993, Archives of physical medicine and rehabilitation.