An Electrocorticographic Brain Interface in an Individual with Tetraplegia

Brain-computer interface (BCI) technology aims to help individuals with disability to control assistive devices and reanimate paralyzed limbs. Our study investigated the feasibility of an electrocorticography (ECoG)-based BCI system in an individual with tetraplegia caused by C4 level spinal cord injury. ECoG signals were recorded with a high-density 32-electrode grid over the hand and arm area of the left sensorimotor cortex. The participant was able to voluntarily activate his sensorimotor cortex using attempted movements, with distinct cortical activity patterns for different segments of the upper limb. Using only brain activity, the participant achieved robust control of 3D cursor movement. The ECoG grid was explanted 28 days post-implantation with no adverse effect. This study demonstrates that ECoG signals recorded from the sensorimotor cortex can be used for real-time device control in paralyzed individuals.

[1]  B. Hofmann-Wellenhof,et al.  Introduction to spectral analysis , 1986 .

[2]  M. Diamond,et al.  Primary Motor and Sensory Cortex Activation during Motor Performance and Motor Imagery: A Functional Magnetic Resonance Imaging Study , 1996, The Journal of Neuroscience.

[3]  R. Waters,et al.  International Standards for Neurological and Functional Classification of Spinal Cord Injury , 1997, Spinal Cord.

[4]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. I. Alpha and beta event-related desynchronization. , 1998, Brain : a journal of neurology.

[5]  R. Lesser,et al.  Functional mapping of human sensorimotor cortex with electrocorticographic spectral analysis. II. Event-related synchronization in the gamma band. , 1998, Brain : a journal of neurology.

[6]  A B Schwartz,et al.  Motor cortical representation of speed and direction during reaching. , 1999, Journal of neurophysiology.

[7]  E. Halgren,et al.  Motor-cortical activity in tetraplegics , 2001, Nature.

[8]  Dawn M. Taylor,et al.  Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.

[9]  David M. Santucci,et al.  Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.

[10]  Emilio Salinas,et al.  Vector reconstruction from firing rates , 1994, Journal of Computational Neuroscience.

[11]  P.R. Kennedy,et al.  Computer control using human intracortical local field potentials , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[12]  Gerwin Schalk,et al.  A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.

[13]  S. Cramer,et al.  Brain motor system function after chronic, complete spinal cord injury. , 2005, Brain : a journal of neurology.

[14]  Steven C. Cramer,et al.  Brain activation during execution and motor imagery of novel and skilled sequential hand movements , 2005, NeuroImage.

[15]  N. Crone,et al.  High-frequency gamma oscillations and human brain mapping with electrocorticography. , 2006, Progress in brain research.

[16]  Andrew B. Schwartz,et al.  Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.

[17]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[18]  Byron M. Yu,et al.  A high-performance brain–computer interface , 2006, Nature.

[19]  J. Wolpaw,et al.  Decoding two-dimensional movement trajectories using electrocorticographic signals in humans , 2007, Journal of neural engineering.

[20]  J. Nielsen,et al.  Premotor cortex modulates somatosensory cortex during voluntary movements without proprioceptive feedback , 2007, Nature Neuroscience.

[21]  J. Kalaska,et al.  Afferent input, efference copy, signal noise, and biases in perception of joint angle during active versus passive elbow movements. , 2007, Journal of neurophysiology.

[22]  Rajesh P. N. Rao,et al.  Spectral Changes in Cortical Surface Potentials during Motor Movement , 2007, The Journal of Neuroscience.

[23]  Rajesh P. N. Rao,et al.  Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: The “Location on Cortex” (LOC) package for MATLAB , 2007, Journal of Neuroscience Methods.

[24]  Sherwin S Chan,et al.  Motor cortical representation of position and velocity during reaching. , 2007, Journal of neurophysiology.

[25]  J. A. Wilson,et al.  Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants. Report of four cases. , 2007, Journal of neurosurgery.

[26]  John P. Donoghue,et al.  Bridging the Brain to the World: A Perspective on Neural Interface Systems , 2008, Neuron.

[27]  J. Wolpaw,et al.  Brain–computer interfaces in neurological rehabilitation , 2008, The Lancet Neurology.

[28]  J. Donoghue,et al.  Primary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia , 2008, The Journal of Neuroscience.

[29]  Ernst Niebur,et al.  High-frequency gamma activity (80–150Hz) is increased in human cortex during selective attention , 2008, Clinical Neurophysiology.

[30]  Andreas Schulze-Bonhage,et al.  Prediction of arm movement trajectories from ECoG-recordings in humans , 2008, Journal of Neuroscience Methods.

[31]  J. A. Wilson,et al.  Two-dimensional movement control using electrocorticographic signals in humans , 2008, Journal of neural engineering.

[32]  C. Braun,et al.  Hand Movement Direction Decoded from MEG and EEG , 2008, The Journal of Neuroscience.

[33]  M. Sommer,et al.  Corollary discharge circuits in the primate brain , 2008, Current Opinion in Neurobiology.

[34]  Paul E. Summers,et al.  Preservation of motor programs in paraplegics as demonstrated by attempted and imagined foot movements , 2008, NeuroImage.

[35]  Andrew S. Whitford,et al.  Cortical control of a prosthetic arm for self-feeding , 2008, Nature.

[36]  E. Fetz,et al.  Decoupling the Cortical Power Spectrum Reveals Real-Time Representation of Individual Finger Movements in Humans , 2009, The Journal of Neuroscience.

[37]  Rajesh P. N. Rao,et al.  Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters. , 2009, Neurosurgical focus.

[38]  D J Weber,et al.  Human motor cortical activity recorded with Micro-ECoG electrodes, during individual finger movements , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[39]  Jeffrey G. Ojemann,et al.  Power-Law Scaling in the Brain Surface Electric Potential , 2009, PLoS Comput. Biol..

[40]  J. Carmena,et al.  Emergence of a Stable Cortical Map for Neuroprosthetic Control , 2009, PLoS biology.

[41]  Nick F. Ramsey,et al.  Automated electrocorticographic electrode localization on individually rendered brain surfaces , 2010, Journal of Neuroscience Methods.

[42]  Rajesh P. N. Rao,et al.  Correction for Miller et al., Cortical activity during motor execution, motor imagery, and imagery-based online feedback , 2010, Proceedings of the National Academy of Sciences.

[43]  N. Thakor,et al.  Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand , 2010, Journal of neural engineering.

[44]  Bradley Greger,et al.  Decoding spoken words using local field potentials recorded from the cortical surface , 2010, Journal of neural engineering.

[45]  Monica A. Perez,et al.  Neural interface technology for rehabilitation: exploiting and promoting neuroplasticity. , 2010, Physical medicine and rehabilitation clinics of North America.

[46]  Robert T. Knight,et al.  Spatiotemporal imaging of cortical activation during verb generation and picture naming , 2010, NeuroImage.

[47]  Naotaka Fujii,et al.  Long-Term Asynchronous Decoding of Arm Motion Using Electrocorticographic Signals in Monkeys , 2009, Front. Neuroeng..

[48]  Rajesh P. N. Rao,et al.  Cortical activity during motor execution, motor imagery, and imagery-based online feedback , 2010, Proceedings of the National Academy of Sciences.

[49]  D W Moran,et al.  A chronic generalized bi-directional brain–machine interface , 2011, Journal of neural engineering.

[50]  Michael J. Black,et al.  Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array , 2011 .

[51]  Jennifer L. Collinger,et al.  Craniux: A LabVIEW-Based Modular Software Framework for Brain-Machine Interface Research , 2011, Comput. Intell. Neurosci..

[52]  Kapil D. Katyal,et al.  Revolutionizing Prosthetics software technology , 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

[53]  G. Schalk,et al.  Brain-Computer Interfaces Using Electrocorticographic Signals , 2011, IEEE Reviews in Biomedical Engineering.

[54]  Nicolas Y. Masse,et al.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.

[55]  H. Yokoi,et al.  Electrocorticographic control of a prosthetic arm in paralyzed patients , 2012, Annals of neurology.

[56]  Nicholas G. Hatsopoulos,et al.  Stable online control of an electrocorticographic brain-computer interface using a static decoder , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[57]  Gerwin Schalk BCIs That Use Electrocorticographic Activity , 2012 .