References(51)
[1]
HI Krebs, N Hogan, ML Aisen, et al. Robot-aided neurorehabilitation. IEEE Trans Rehabil Eng. 1998, 6(1): 75-87.
[2]
U Chaudhary, N Birbaumer, MR Curado. Brain- machine interface (BMI) in paralysis. Ann Phys Rehabil Med. 2015, 58(1): 9-13.
[3]
E Formento, K Minassian, F Wagner, et al. Electrical spinal cord stimulation must preserve proprioception to enable locomotion in humans with spinal cord injury. Nat Neurosci. 2018, 21(12): 1728-1741.
[4]
JJ Vidal. Toward direct brain-computer communication. Annu Rev Biophys Bioeng. 1973, 2: 157-180.
[5]
MO Krucoff, S Rahimpour, MW Slutzky, et al. Enhancing nervous system recovery through neurobiologics, neural interface training, and neurorehabilitation. Front Neurosci. 2016, 10: 584.
[6]
LR Hochberg, MD Serruya, GM Friehs, et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 2006, 442(7099): 164-171.
[7]
LR Hochberg, D Bacher, B Jarosiewicz, et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature. 2012, 485(7398): 372-375.
[8]
JL Collinger, B Wodlinger, JE Downey, et al. High- performance neuroprosthetic control by an individual with tetraplegia. Lancet. 2013, 381(9866): 557-564.
[9]
RA Andersen, T Aflalo, S Kellis. From thought to action: The brain-machine interface in posterior parietal cortex. Proc Natl Acad Sci USA. 2019, in press, .
[10]
T Aflalo, S Kellis, C Klaes, et al. Neurophysiology. Decoding motor imagery from the posterior parietal cortex of a tetraplegic human. Science. 2015, 348(6237): 906-910.
[11]
M Armenta Salas, L Bashford, S Kellis, et al. Proprioceptive and cutaneous sensations in humans elicited by intracortical microstimulation. Elife. 2018, 7: e32904.
[12]
CE Bouton, A Shaikhouni, NV Annetta, et al. Restoring cortical control of functional movement in a human with quadriplegia. Nature. 2016, 533(7602): 247-250.
[13]
Y Tomita, FB Vialatte, G Dreyfus, et al. Bimodal BCI using simultaneously NIRS and EEG. IEEE Trans Biomed Eng. 2014, 61(4): 1274-1284.
[14]
F Lotte, L Bougrain, A Cichocki, et al. A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update. J Neural Eng. 2018, 15(3): 031005.
[15]
F Lotte, C Jeunet. Defining and quantifying users' mental imagery-based BCI skills: a first step. J Neural Eng. 2018, 15(4): 046030.
[16]
N Padfield, J Zabalza, HM Zhao, et al. EEG-based brain–computer interfaces using motor-imagery: techniques and challenges. Sensors (Basel). 2019, 19(6): E1423.
[17]
H Yuan, T Liu, R Szarkowski, et al. Negative covariation between task-related responses in alpha/beta-band activity and BOLD in human sensorimotor cortex: an EEG and fMRI study of motor imagery and movements. Neuroimage. 2010, 49(3): 2596-2606.
[18]
AJ Doud, JP Lucas, MT Pisansky, et al. Continuous three-dimensional control of a virtual helicopter using a motor imagery based brain–computer interface. PLoS One. 2011, 6(10): e26322.
[19]
E Asano, C Juhász, A Shah, et al. Origin and propagation of epileptic spasms delineated on electrocorticography. Epilepsia. 2005, 46(7): 1086-1097.
[20]
A Kuruvilla, R Flink. Intraoperative electrocorticography in epilepsy surgery: useful or not? Seizure. 2003, 12(8): 577-584.
[21]
A Palmini. The concept of the epileptogenic zone: a modern look at Penfield and Jasper's views on the role of interictal spikes. Epileptic Disord. 2006, 8(Suppl 2): S10-S15.
[22]
PR Kennedy, RA Bakay. Restoration of neural output from a paralyzed patient by a direct brain connection. Neuroreport. 1998, 9(8): 1707-1711.
[23]
PR Kennedy, RA Bakay, MM Moore, et al. Direct control of a computer from the human central nervous system. IEEE Trans Rehabil Eng. 2000, 8(2): 198-202.
[24]
JK Chapin, KA Moxon, RS Markowitz, et al. Real- time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat Neurosci. 1999, 2(7): 664-670.
[25]
JR Wolpaw, N Birbaumer, DJ McFarland, et al. Brain-computer interfaces for communication and control. Clin Neurophysiol. 2002, 113(6): 767-791.
[26]
JR Wolpaw, DJ McFarland. Control of a two- dimensional movement signal by a noninvasive brain–computer interface in humans. Proc Natl Acad Sci USA. 2004, 101(51): 17849-17854.
[27]
XG Chen, B Zhao, YJ Wang, et al. Combination of high-frequency SSVEP-based BCI and computer vision for controlling a robotic arm. J Neural Eng. 2019, 16(2): 026012.
[28]
A Albu-Schäffer, S Haddadin, C Ott, et al. The DLR lightweight robot: design and control concepts for robots in human environments. Industrial Robot. 2007, 34(5): 376-385.
[29]
L Resnik. Research update: VA study to optimize DEKA arm. J Rehabil Res Dev. 2010, 47(3): ix-x.
[30]
SP Kim, JD Simeral, LR Hochberg, et al. Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia. J Neural Eng. 2008, 5(4): 455-476.
[31]
SP Kim, JD Simeral, LR Hochberg, et al. Point-and- click cursor control with an intracortical neural interface system by humans with tetraplegia. IEEE Trans Neural Syst Rehabil Eng. 2011, 19(2): 193-203.
[32]
JD Simeral, SP Kim, MJ Black, et al. Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array. J Neural Eng. 2011, 8(2): 025027.
[33]
JE Downey, N Schwed, SM Chase, et al. Intracortical recording stability in human brain–computer interface users. J Neural Eng. 2018, 15(4): 046016.
[34]
MJ Vansteensel, EGM Pels, MG Bleichner, et al. Fully implanted brain–computer interface in a locked-in patient with ALS. N Engl J Med. 2016, 375(21): 2060-2066.
[35]
M Kryger, B Wester, EA Pohlmeyer, et al. Flight simulation using a Brain–computer interface: a pilot, pilot study. Exp Neurol. 2017, 287(Pt 4): 473-478.
[36]
EJ Hwang, RA Andersen. The utility of multichannel local field potentials for brain-machine interfaces. J Neural Eng. 2013, 10(4): 046005.
[37]
JA Perge, SM Zhang, WQ Malik, et al. Reliability of directional information in unsorted spikes and local field potentials recorded in human motor cortex. J Neural Eng. 2014, 11(4): 046007.
[38]
A Chantraine, A Baribeault, D Uebelhart, et al. Shoulder pain and dysfunction in hemiplegia: effects of functional electrical stimulation. Arch Phys Med Rehabil. 1999, 80(3): 328-331.
[39]
S Pereira, S Mehta, A McIntyre, et al. Functional electrical stimulation for improving gait in persons with chronic stroke. Top Stroke Rehabil. 2012, 19(6): 491-498.
[40]
DA Friedenberg, MA Schwemmer, AJ Landgraf, et al. Neuroprosthetic-enabled control of graded arm muscle contraction in a paralyzed human. Sci Rep. 2017, 7(1): 8386.
[41]
SC 4th Colachis, MA Bockbrader, MM Zhang, et al. Dexterous control of seven functional hand movements using cortically-controlled transcutaneous muscle stimulation in a person with tetraplegia. Front Neurosci. 2018, 12: 208.
[42]
HL Dean, MA Hagan, B Pesaran. Only coherent spiking in posterior parietal cortex coordinates looking and reaching. Neuron. 2012, 73(4): 829-841.
[43]
SB Kuang, P Morel, A Gail. Planning movements in visual and physical space in monkey posterior parietal cortex. Cereb Cortex. 2016, 26(2): 731-747.
[44]
D Ovadia, G Bottini. Neuroethical implications of deep brain stimulation in degenerative disorders. Curr Opin Neurol. 2015, 28(6): 598-603.
[45]
T Swift, R Huxtable. The ethics of sham surgery in Parkinson’s disease: back to the future? Bioethics. 2013, 27(4): 175-185.
[46]
K Wartolowska, A Judge, S Hopewell, et al. Use of placebo controls in the evaluation of surgery: systematic review. BMJ. 2014, 348: g3253.
[47]
MA Hughes. Engineering brain–computer interfaces: past, present and future. J Neurosurg Sci. 2014, 58(2): 117-123.
[48]
JV Rosenfeld, YT Wong. Neurobionics and the brain–computer interface: current applications and future horizons. Med J Aust. 2017, 206(8): 363-368.
[49]
J Schouenborg. Biocompatible multichannel electrodes for long-term neurophysiological studies and clinical therapy—novel concepts and design. Prog Brain Res. 2011, 194: 61-70.
[50]
GS Hong, TM Fu, T Zhou, et al. Syringe injectable electronics: precise targeted delivery with quantitative input/output connectivity. Nano Lett. 2015, 15(10): 6979-6984.
[51]
TI Kim, JG McCall, YH Jung, et al. Injectable, cellular- scale optoelectronics with applications for wireless optogenetics. Science. 2013, 340(6129): 211-216.