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K. Ang, Cuntai Guan, K. Chua, B. Ang, C. Kuah, C. Wang, K. Phua, Z. Chin, Haihong Zhang (2010)
Clinical study of neurorehabilitation in stroke using EEG-based motor imagery brain-computer interface with robotic feedback2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
E. Formaggio, S. Storti, I. Galazzo, M. Gandolfi, C. Geroin, N. Smania, La Spezia, A. Waldner, A. Fiaschi, P. Manganotti (2013)
Modulation of event-related desynchronization in robot-assisted hand performance: brain oscillatory changes in active, passive and imagined movementsJournal of NeuroEngineering and Rehabilitation, 10
D. Farina, O. Nascimento, Marie-Françoise Lucas, C. Doncarli (2007)
Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parametersJournal of Neuroscience Methods, 162
H. Slyter (1995)
Guidelines for the management of patients with acute ischemic stroke.Stroke, 26 1
I. Niazi, N. Mrachacz‐Kersting, N. Jiang, K. Dremstrup, Dario Farina (2012)
Peripheral Electrical Stimulation Triggered by Self-Paced Detection of Motor Intention Enhances Motor Evoked PotentialsIEEE Transactions on Neural Systems and Rehabilitation Engineering, 20
David Bundy, M. Wronkiewicz, Mohit Sharma, D. Moran, M. Corbetta, E. Leuthardt (2012)
Using ipsilateral motor signals in the unaffected cerebral hemisphere as a signal platform for brain–computer interfaces in hemiplegic stroke survivorsJournal of Neural Engineering, 9
O. Bai, Z. Mari, Sherry Vorbach, M. Hallett (2005)
Asymmetric spatiotemporal patterns of event-related desynchronization preceding voluntary sequential finger movements: a high-resolution EEG studyClinical Neurophysiology, 116
Darren Leamy, J. Kocijan, Katarina Domijan, Joseph Duffin, R. Roche, S. Commins, R. Collins, T. Ward (2014)
An exploration of EEG features during recovery following stroke – implications for BCI-mediated neurorehabilitation therapyJournal of NeuroEngineering and Rehabilitation, 11
M. Grosse-Wentrup, D. Mattia, K. Oweiss (2011)
Using brain–computer interfaces to induce neural plasticity and restore functionJournal of Neural Engineering, 8
Motor learning produces parallel dynamic functional 931
Brittany Young, Zack Nigogosyan, Alexander Remsik, L. Walton, Jie Song, V. Nair, Scott Grogan, M. Tyler, D. Edwards, Kristin Caldera, Justin Sattin, Justin Williams, V. Prabhakaran (2014)
Changes in functional connectivity correlate with behavioral gains in stroke patients after therapy using a brain-computer interface deviceFrontiers in Neuroengineering, 7
I. Niazi, N. Jiang, O. Tiberghien, J. Nielsen, K. Dremstrup, D. Farina (2011)
Detection of movement intention from single-trial movement-related cortical potentialsJournal of Neural Engineering, 8
D. Wade, R. Langton-Hewer, V. Wood, C. Skilbeck, H. Ismail (1983)
The hemiplegic arm after stroke: measurement and recovery.Journal of Neurology, Neurosurgery & Psychiatry, 46
HolgerWiese, PhilippStude, RobertSarge, KatharinaNebel, Hans-ChristophDiener, MatthiasKeidel (2005)
Reorganization of Motor Execution Rather Than Preparation in Poststroke Hemiparesis
Mar González-Franco, Peng Yuan, Dan Zhang, Bo Hong, Shangkai Gao (2011)
Motor imagery based brain-computer interface: A study of the effect of positive and negative feedback2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
M. Mihara, N. Hattori, M. Hatakenaka, H. Yagura, T. Kawano, T. Hino, I. Miyai (2013)
Near-infrared Spectroscopy–mediated Neurofeedback Enhances Efficacy of Motor Imagery–based Training in Poststroke Victims: A Pilot StudyStroke, 44
K. Ang, Cuntai Guan, K. Chua, B. Ang, C. Kuah, C. Wang, K. Phua, Z. Chin, Haihong Zhang (2011)
A Large Clinical Study on the Ability of Stroke Patients to Use an EEG-Based Motor Imagery Brain-Computer InterfaceClinical EEG and Neuroscience, 42
Sujesh Sreedharan, R. Sitaram, J. Paul, C. Kesavadas (2013)
Brain-computer interfaces for neurorehabilitation.Critical reviews in biomedical engineering, 41 3
A. Ramos-Murguialday, D. Broetz, Massimiliano Rea, L. Läer, Özge Yilmaz, F. Brasil, G. Liberati, M. Curado, E. Garcia-Cossio, A. Vyziotis, W. Cho, M. Agostini, E. Soares, S. Soekadar, A. Caria, L. Cohen, N. Birbaumer (2013)
Brain–machine interface in chronic stroke rehabilitation: A controlled studyAnnals of Neurology, 74
Janis Daly, Roger Cheng, Jean Rogers, Krisanne Litinas, K. Hrovat, Mark Dohring (2009)
Feasibility of a New Application of Noninvasive Brain Computer Interface (BCI): A Case Study of Training for Recovery of Volitional Motor Control After StrokeJournal of Neurologic Physical Therapy, 33
M. Lacourse, J. Turner, Elizabeth Randolph-Orr, S. Schandler, Michael Cohen (2004)
Cerebral and cerebellar sensorimotor plasticity following motor imagery-based mental practice of a sequential movement.Journal of rehabilitation research and development, 41 4
O. Bai, P. Lin, Sherry Vorbach, M. Floeter, N. Hattori, M. Hallett (2008)
A high performance sensorimotor beta rhythm-based brain–computer interface associated with human natural motor behaviorJournal of Neural Engineering, 5
F. Cincotti, F. Pichiorri, P. Aricó, F. Aloise, F. Leotta, F. Fallani, J. Millán, M. Molinari, D. Mattia (2012)
EEG-based Brain-Computer Interface to support post-stroke motor rehabilitation of the upper limb2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Enas Lawrence, C. Coshall, R. Dundas, Judy Stewart, A. Rudd, R. Howard, C. Wolfe (2001)
Estimates of the Prevalence of Acute Stroke Impairments and Disability in a Multiethnic PopulationStroke: Journal of the American Heart Association, 32
G. Prasad, P. Herman, D. Coyle, S. McDonough, J. Crosbie (2010)
Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility studyJournal of NeuroEngineering and Rehabilitation, 7
S. Amiri, R. Fazel-Rezai, V. Asadpour (2013)
A Review of Hybrid Brain-Computer Interface SystemsAdv. Hum. Comput. Interact., 2013
M. Takemi, Y. Masakado, Meigen Liu, J. Ushiba (2013)
Event-related desynchronization reflects downregulation of intracortical inhibition in human primary motor cortex.Journal of neurophysiology, 110 5
G. Pfurtscheller, F. Silva (1999)
Event-related EEG/MEG synchronization and desynchronization: basic principlesClinical Neurophysiology, 110
R. Padmavathi, V. Ranganathan (2014)
A Review on EEG Based Brain Computer Interface Systems
M. Petti, D. Mattia, F. Pichiorri, J. Toppi, S. Salinari, F. Babiloni, L. Astolfi, F. Cincotti (2014)
A new descriptor of neuroelectrical activity during BCI-assisted motor imagery-based training in stroke patients2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
K. Ang, Cuntai Guan, K. Phua, C. Wang, Longjiang Zhou, K. Tang, G. Joseph, C. Kuah, K. Chua (2014)
Brain-computer interface-based robotic end effector system for wrist and hand rehabilitation: results of a three-armed randomized controlled trial for chronic strokeFrontiers in Neuroengineering, 7
J. Cantillo-Negrete, J. Gutiérrez-Martínez, R. Carino-Escobar, P. Carrillo-Mora, D. Elías-Viñas (2014)
An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by genderBioMedical Engineering OnLine, 13
Rachel Allred, Soo-Young Kim, T. Jones (2014)
Use it and/or lose it—experience effects on brain remodeling across time after strokeFrontiers in Human Neuroscience, 8
A. Caria, Cornelia Weber, D. Brötz, A. Ramos, L. Ticini, A. Gharabaghi, C. Braun, N. Birbaumer (2011)
Chronic stroke recovery after combined BCI training and physiotherapy: a case report.Psychophysiology, 48 4
Thomas Platz, I.-H. Kim, H. Pintschovius, T. Winter, A. Kieselbach, K. Villringer, R. Kurth, Karl-Heinz Mauritz (2000)
Multimodal EEG analysis in man suggests impairment-specific changes in movement-related electric brain activity after stroke.Brain : a journal of neurology, 123 Pt 12
Ritik Looned, Jacob Webb, Z. Xiao, C. Menon (2014)
Assisting drinking with an affordable BCI-controlled wearable robot and electrical stimulation: a preliminary investigationJournal of NeuroEngineering and Rehabilitation, 11
K. Ang, Cuntai Guan, K. Phua, C. Wang, I. Teh, C. Chen, E. Chew (2012)
Transcranial direct current stimulation and EEG-based motor imagery BCI for upper limb stroke rehabilitation2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
T. Murphy, D. Corbett (2009)
Plasticity during stroke recovery: from synapse to behaviourNature Reviews Neuroscience, 10
D. Serrien, P. Brown (2002)
The functional role of interhemispheric synchronization in the control of bimanual timing tasksExperimental Brain Research, 147
W. Tam, K. Tong, F. Meng, Shangkai Gao (2011)
A Minimal Set of Electrodes for Motor Imagery BCI to Control an Assistive Device in Chronic Stroke Subjects: A Multi-Session StudyIEEE Transactions on Neural Systems and Rehabilitation Engineering, 19
C. Tangwiriyasakul, R. Verhagen, W. Rutten, M. Putten (2014)
Temporal evolution of event-related desynchronization in acute stroke: A pilot studyClinical Neurophysiology, 125
E. Buch, Cornelia Weber, L. Cohen, C. Braun, M. Dimyan, T. Ard, J. Mellinger, A. Caria, S. Soekadar, A. Fourkas, N. Birbaumer (2008)
Think to Move: a Neuromagnetic Brain-Computer Interface (BCI) System for Chronic StrokeStroke, 39
H. Shibasaki, M. Hallett (2006)
What is the Bereitschaftspotential?Clinical Neurophysiology, 117
Acute Stroke Rehabilitation Unit
Rong Cui, L. Deecke (2004)
High Resolution DC-EEG Analysis of the Bereitschaftspotential and Post Movement Onset Potentials Accompanying Uni- or Bilateral Voluntary Finger MovementsBrain Topography, 11
J. Faller, Reinhold Scherer, E. Friedrich, Ú. Costa, E. Opisso, J. Medina, G. Müller-Putz (2014)
Non-motor tasks improve adaptive brain-computer interface performance in users with severe motor impairmentFrontiers in Neuroscience, 8
V. Kaiser, I. Daly, F. Pichiorri, D. Mattia, G. Müller-Putz, C. Neuper (2012)
Relationship Between Electrical Brain Responses to Motor Imagery and Motor Impairment in StrokeStroke, 43
Oxford Centre for Evidence-based Medicine: Levels of evidence. Centre for Evidence-based Medicine
M. Lafleur, P. Jackson, F. Malouin, C. Richards, Alan Evans, J. Doyon (2002)
Motor Learning Produces Parallel Dynamic Functional Changes during the Execution and Imagination of Sequential Foot MovementsNeuroImage, 16
Judy Trevena, Jeff Miller (2010)
Brain preparation before a voluntary action: Evidence against unconscious movement initiationConsciousness and Cognition, 19
T. Platz, I.H. Kim, H. Pintschovious, T. Winter, A. Kieselbach, K. Villringer, R. Kurtz (2000)
Multimodal EEG analysis changes in movement‐related electric brain activity after stroke, 123
Sandra Jellema, R. Sande, Suzanne Hees, Jana Zajec, E. Steultjens, M. Sanden (2016)
Role of Environmental Factors on Resuming Valued Activities Poststroke: A Systematic Review of Qualitative and Quantitative Findings.Archives of physical medicine and rehabilitation, 97 6
N. Mrachacz‐Kersting, S. Kristensen, I. Niazi, D. Farina (2012)
Precise temporal association between cortical potentials evoked by motor imagination and afference induces cortical plasticityThe Journal of Physiology, 590
Sobell Department of Motor Neuroscience and Movement Disorders
Brittany Young, Zack Nigogosyan, V. Nair, L. Walton, Jie Song, M. Tyler, D. Edwards, Kristin Caldera, Justin Sattin, Justin Williams, V. Prabhakaran (2014)
Case report: post-stroke interventional BCI rehabilitation in an individual with preexisting sensorineural disabilityFrontiers in Neuroengineering, 7
Eileen Lew, Ricardo Chavarriaga, S. Silvoni, J. Millán (2012)
Detection of self-paced reaching movement intention from EEG signalsFrontiers in Neuroengineering, 5
E. Pereira, F. Rueda, I. Diego, R. Cuerda, A. Mauro, J. Page (2014)
Empleo de sistemas de realidad virtual como método de propiocepción en parálisis cerebral: guía de práctica clínicaNeurologia, 29
Multimodal EEG analysis changes in movement - related electric
P. Duncan, L. Goldstein, D. Matchar, G. Divine, J. Feussner (1992)
Measurement of Motor Recovery After Stroke: Outcome Assessment and Sample Size RequirementsStroke, 23
J. Shih, D. Krusienski, J. Wolpaw (2012)
Brain-computer interfaces in medicine.Mayo Clinic proceedings, 87 3
S. Badia, A. Morgade, Hani Samaha, Pfmj Verschure (2013)
Using a Hybrid Brain Computer Interface and Virtual Reality System to Monitor and Promote Cortical Reorganization through Motor Activity and Motor Imagery TrainingIEEE Transactions on Neural Systems and Rehabilitation Engineering, 21
T. Brott, R. Crowell, A. Furlan, Camilo Gomez, J. Grotta, C. Helgason, J. Marler, R. Woolson, J. Zivin, W. Feinberg, Marc Mayberg (1994)
Guidelines for the management of patients with acute ischemic stroke. A statement for healthcare professionals from a special writing group of the Stroke Council, American Heart Association.Stroke, 25 9
J. Ibáñez, J. Serrano, M. Castillo, E. Monge-Pereira, F. Molina-Rueda, I. Alguacil-Diego, J. Pons (2014)
Detection of the onset of upper-limb movements based on the combined analysis of changes in the sensorimotor rhythms and slow cortical potentialsJournal of Neural Engineering, 11
Koji Aono, S. Miyashita, Y. Fujiwara, M. Kodama, K. Hanayama, Y. Masakado, J. Ushiba (2013)
Relationship between event-related desynchronization and cortical excitability in healthy subjects and stroke patients.The Tokai journal of experimental and clinical medicine, 38 4
K. Ang, Cuntai Guan (2013)
Brain-Computer Interface in Stroke RehabilitationJ. Comput. Sci. Eng., 7
Janis Daly, Yin Fang, E. Perepezko, V. Siemionow, Guang Yue (2006)
Prolonged cognitive planning time, elevated cognitive effort, and relationship to coordination and motor control following strokeIEEE Transactions on Neural Systems and Rehabilitation Engineering, 14
E. Claflin, C. Krishnan, S. Khot (2015)
Emerging Treatments for Motor Rehabilitation After StrokeThe Neurohospitalist, 5
Amr Kamel, A. Ghani, M. Zaiton, Amal El-Motayam, Doria El-Fattah (2010)
Health Related Quality of Life in Stroke Survivors Measured by the Stroke Impact Scale
T. Ono, K. Shindo, Kimiko Kawashima, N. Ota, Mari Ito, T. Ota, Masahiko Mukaino, T. Fujiwara, A. Kimura, Meigen Liu, J. Ushiba (2014)
Brain-computer interface with somatosensory feedback improves functional recovery from severe hemiplegia due to chronic strokeFrontiers in Neuroengineering, 7
D. Serrien, Lucy Strens, M. Cassidy, A. Thompson, P. Brown (2004)
Functional significance of the ipsilateral hemisphere during movement of the affected hand after strokeExperimental Neurology, 190
W. Teo, E. Chew (2014)
Is motor-imagery brain-computer interface feasible in stroke rehabilitation?PM & R : the journal of injury, function, and rehabilitation, 6 8
Christine King, Kunal Dave, Po Wang, M. Mizuta, D. Reinkensmeyer, An Do, S. Moromugi, Z. Nenadic (2014)
Performance Assessment of a Brain–Computer Interface Driven Hand OrthosisAnnals of Biomedical Engineering, 42
G. Pino, G. Pellegrino, G. Assenza, F. Capone, F. Ferreri, D. Formica, F. Ranieri, M. Tombini, U. Ziemann, J. Rothwell, V. Lazzaro (2014)
Modulation of brain plasticity in stroke: a novel model for neurorehabilitationNature Reviews Neurology, 10
G. Kwakkel, B. Kollen (2007)
Predicting improvement in the upper paretic limb after stroke: a longitudinal prospective study.Restorative neurology and neuroscience, 25 5-6
(1998)
Guidelines for critical review form: Quantitative studies
Ye Liu, Mingfen Li, H. Zhang, Hang Wang, Liqing Zhang (2014)
A tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES rehabilitation trainingJournal of Neuroscience Methods, 222
Noman Naseer, K. Hong (2015)
fNIRS-based brain-computer interfaces: a reviewFrontiers in Human Neuroscience, 9
M. Gomez-Rodriguez, Jan Peters, J. Hill, Bernhard Schölkopf, Alireza Gharabaghi, M. Grosse-Wentrup (2011)
Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imageryJournal of Neural Engineering, 8
Occupational Therapy, Rehabilitation and Physical Medicine Department, Health Sciences Faculty
G. Pfurtscheller, A. Aranibar (1979)
Evaluation of event-related desynchronization (ERD) preceding and following voluntary self-paced movement.Electroencephalography and clinical neurophysiology, 46 2
S. Silvoni, A. Ramos-Murguialday, M. Cavinato, C. Volpato, Giulia Cisotto, A. Turolla, F. Piccione, N. Birbaumer (2011)
Brain-Computer Interface in Stroke: A Review of ProgressClinical EEG and Neuroscience, 42
Christian Gerloff, Jacob Richard, Jordan Hadley, A. Schulman, Manabu Honda, Mark Hallett (1998)
Functional coupling and regional activation of human cortical motor areas during simple, internally paced and externally paced finger movements.Brain : a journal of neurology, 121 ( Pt 8)
L. Dokkum, Tomas Ward, Isabelle Laffont (2015)
Brain computer interfaces for neurorehabilitation – its current status as a rehabilitation strategy post-stroke.Annals of physical and rehabilitation medicine, 58 1
M. Arvaneh, Cuntai Guan, K. Ang, Hiok Quek (2013)
Optimizing Spatial Filters by Minimizing Within-Class Dissimilarities in Electroencephalogram-Based Brain–Computer InterfaceIEEE Transactions on Neural Networks and Learning Systems, 24
K. Ang, Cuntai Guan, K. Chua, K. Phua, C. Wang, Z. Chin, Longjiang Zhou, K. Tang, Gopal Joseph, C. Kuah (2013)
A clinical study of motor imagery BCI performance in stroke by including calibration data from passive movement2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
J. Daly, J. Wolpaw (2008)
Brain–computer interfaces in neurological rehabilitationThe Lancet Neurology, 7
B. Várkuti, Cuntai Guan, Yaozhang Pan, K. Phua, K. Ang, C. Kuah, K. Chua, B. Ang, N. Birbaumer, R. Sitaram (2013)
Resting State Changes in Functional Connectivity Correlate With Movement Recovery for BCI and Robot-Assisted Upper-Extremity Training After StrokeNeurorehabilitation and Neural Repair, 27
A. Pollock, G. Baer, P. Campbell, P. Choo, A. Forster, Jacqui Morris, V. Pomeroy, P. Langhorne (2014)
Physical rehabilitation approaches for the recovery of function and mobility following stroke.The Cochrane database of systematic reviews, 4
M. Arvaneh, Cuntai Guan, K. Ang, Hiok Quek (2012)
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
K. Shindo, Kimiko Kawashima, J. Ushiba, N. Ota, Mari Ito, T. Ota, A. Kimura, Meigen Liu (2011)
Effects of neurofeedback training with an electroencephalogram-based brain-computer interface for hand paralysis in patients with chronic stroke: a preliminary case series study.Journal of rehabilitation medicine, 43 10
ଝ. Pereira, F. Rueda, I. Diego, R. De, L. Cuerda, A. Mauro, J. Page, Monge Pereira, M. Rueda, F. Alguacil, Diego Im, Cano De, R. De, Mauro A, Miangolarra Page, Jc (2016)
se of virtual reality systems as proprioception method in erebral palsy : clinical practice guideline
Y. Kasashima, T. Fujiwara, Yayoi Matsushika, T. Tsuji, K. Hase, Junichi Ushiyama, J. Ushiba, Meigen Liu (2012)
Modulation of event-related desynchronization during motor imagery with transcranial direct current stimulation (tDCS) in patients with chronic hemiparetic strokeExperimental Brain Research, 221
G. Verlag, S. York, G. Pfurtscheller, W. Wege, W. Sager (1980)
Asymmetrien in der zentralen α-Aktivität (My-Rhythmus) unter Ruhe- und Aktivitätsbedingungen bei zerebrovaskulären ErkrankungenKlinische Neurophysiologie, 11
George Rozelle, T. Budzynski (1995)
Neurotherapy for stroke rehabilitation: A single case studyBiofeedback and Self-regulation, 20
C. Gerloff, J. Hadley, J. Richard, N. Uenischi, M. Honda, M. Hallett (1998)
Functional coupling and regional activation of human cortical motor areas during simple, self‐paced and metronome‐paced finger movements, 121
S. Coyle, T. Ward, C. Markham (2003)
Brain–computer interfaces: a reviewInterdisciplinary Science Reviews, 28
K. Ang, Cuntai Guan, K. Chua, B. Ang, C. Kuah, C. Wang, K. Phua, Z. Chin, Haihong Zhang (2009)
A clinical study of motor imagery-based brain-computer interface for upper limb robotic rehabilitation2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Jie Zhou, Jun Yao, Jie Deng, J. Dewald (2005)
EEG-based Discrimination of Elbow/Shoulder Torques using Brain Computer Interface Algorithms: Implications for Rehabilitation2005 IEEE Engineering in Medicine and Biology 27th Annual Conference
Gert Pfurtscheller, A. Aranibar, W. Wege (1980)
Changes in central EEG activity in relation to voluntary movement. II. Hemiplegic patients.Progress in brain research, 54
H. Tan, K. Kong, C. Shee, C. Wang, Cuntai Guan, W. Ang (2010)
Post-acute stroke patients use brain-computer interface to activate electrical stimulation2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
D. Serrien, P. Brown (2003)
The integration of cortical and behavioural dynamics during initial learning of a motor taskEuropean Journal of Neuroscience, 17
Martijn Schreuder, A. Riccio, M. Risetti, Sven Dähne, A. Ramsay, John Williamson, D. Mattia, M. Tangermann (2013)
User-centered design in brain-computer interfaces - A case studyArtificial intelligence in medicine, 59 2
Fiona Coupar, A. Pollock, P. Rowe, C. Weir, P. Langhorne (2012)
Predictors of upper limb recovery after stroke: a systematic review and meta-analysisClinical Rehabilitation, 26
D. Broetz, C. Braun, Cornelia Weber, S. Soekadar, A. Caria, N. Birbaumer (2010)
Combination of Brain-Computer Interface Training and Goal-Directed Physical Therapy in Chronic Stroke: A Case ReportNeurorehabilitation and Neural Repair, 24
Jie Song, Brittany Young, Zack Nigogosyan, L. Walton, V. Nair, Scott Grogan, M. Tyler, Dorothy Farrar-Edwards, Kristin Caldera, Justin Sattin, Justin Williams, V. Prabhakaran (2014)
Characterizing relationships of DTI, fMRI, and motor recovery in stroke rehabilitation utilizing brain-computer interface technologyFrontiers in Neuroengineering, 7
C. Calautti, J. Baron (2003)
Functional Neuroimaging Studies of Motor Recovery After Stroke in Adults: A ReviewStroke: Journal of the American Heart Association, 34
S. Lai, S. Studenski, P. Duncan, S. Perera (2002)
Persisting Consequences of Stroke Measured by the Stroke Impact ScaleStroke: Journal of the American Heart Association, 33
G. Chatrian, M. Petersen, J. Lazarte (1959)
The blocking of the rolandic wicket rhythm and some central changes related to movement.Electroencephalography and clinical neurophysiology, 11 3
P. Brown (2000)
Cortical drives to human muscle: the Piper and related rhythmsProgress in Neurobiology, 60
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Published: Sep 1, 2017
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