Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2D center out task

Journal of Neural Engineering

Volumn 11, Issue 3, 2014, Pages

  Wang, Dong ^a,b   Zhang, Qiaosheng ^a,c   Li, Yue ^a,b   Wang, Yiwen ^a,c   Zhu, Junming ^a,d   Zhang, Shaomin ^a,c,e   Zheng, Xiaoxiang ^a,b,c  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY   (China)

^d THE SECOND AFFILIATED HOSPITAL OF ZHEJIANG UNIVERSITY SCHOOL OF MEDICINE   (China)

^e BROWN UNIVERSITY   (United States)

Author keywords

Brain machine interface; Local field potential; Long term stability; Motor cortex

Indexed keywords

BRAIN; DECODING; ELECTROPHYSIOLOGY; FREQUENCY BANDS; NEURONS; SILICON; STABILITY;

BRAIN MACHINE INTERFACE; BRAIN MACHINE INTERFACE (BMIS); DECODING PERFORMANCE; KINEMATIC INFORMATION; LOCAL FIELD POTENTIALS; LONG TERM STABILITY; MOTOR CORTEX; MULTI-UNIT ACTIVITY;

TUNING;

SILICON;

ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; ELECTRIC POTENTIAL; ELECTRODE IMPLANT; HAND MOVEMENT; HAPLORHINI; IMPLANTATION; KINEMATICS; LOCAL FIELD POTENTIAL; MALE; MOTOR CORTEX; NONHUMAN; PRIORITY JOURNAL; RECORDING; SPIKE; TASK PERFORMANCE; TREND STUDY; ANIMAL; BRAIN COMPUTER INTERFACE; DEVICE FAILURE ANALYSIS; DEVICES; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EVOKED MUSCLE RESPONSE; LONGITUDINAL STUDY; MACACA; MICROARRAY ANALYSIS; MICROELECTRODE; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ANIMALS; BRAIN-COMPUTER INTERFACES; ELECTRODES, IMPLANTED; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; EVOKED POTENTIALS, MOTOR; LONGITUDINAL STUDIES; MACACA; MALE; MICROARRAY ANALYSIS; MICROELECTRODES; MOTOR CORTEX; MOVEMENT; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SILICON;

EID: 84901250045     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/11/3/036009     Document Type: Article

References (67)

1. Lebedev M A and Nicolelis M A 2006 Brain-machine interfaces: past, present and future Trends Neurosci. 29 536-46 (Pubitemid 44291817)
2. Andersen R A, Hwang E J and Mulliken G H 2010 Cognitive neural prosthetics Annu. Rev. Psychol. 61 169-90
3. Scherberger H 2009 Neural control of motor prostheses Curr. Opin. Neurobiol. 19 629-33
4. Nicolelis M A L and Lebedev M A 2009 Principles of neural ensemble physiology underlying the operation of brain-machine interfaces Nature Rev. Neurosci. 10 530-40
5. Hatsopoulos N G and Donoghue J P 2009 The science of neural interface systems Annu. Rev. Neurosci. 32 249-66
6. Birbaumer N and Cohen L G 2007 Brain-computer interfaces: communication and restoration of movement in paralysis J. Physiol. 579 621-36 (Pubitemid 46404346)
7. Hochberg L R, Bacher D, Jarosiewicz B, Masse N Y, Simeral J D, Vogel J, Haddadin S, Liu J, Cash S S and van der Smagt P 2012 Reach and grasp by people with tetraplegia using a neurally controlled robotic arm Nature 485 372-5
8. Velliste M, Perel S, Spalding M C, Whitford A S and Schwartz A B 2008 Cortical control of a prosthetic arm for self-feeding Nature 453 1098-101
9. Moritz C T, Perlmutter S I and Fetz E E 2008 Direct control of paralysed muscles by cortical neurons Nature 456 639-42
10. Hochberg L R, Serruya M D, Friehs G M, Mukand J A, Saleh M, Caplan A H, Branner A, Chen D, Penn R D and Donoghue J P 2006 Neuronal ensemble control of prosthetic devices by a human with tetraplegia Nature 442 164-71 (Pubitemid 44086558)
11. Musallam S, Corneil B D, Greger B, Scherberger H and Andersen R A 2004 Cognitive control signals for neural prosthetics Science 305 258-62 (Pubitemid 38886742)
12. Carmena J M, Lebedev M A, Crist R E, O'Doherty J E, Santucci D M, Dimitrov D F, Patil P G, Henriquez C S and Nicolelis M A L 2003 Learning to control a brain-machine interface for reaching and grasping by primates PLoS Biol. 1 193-208
13. Taylor D M, Tillery S I H and Schwartz A B 2002 Direct cortical control of 3D neuroprosthetic devices Science 296 1829-32 (Pubitemid 34596262)
14. Serruya M D, Hatsopoulos N G, Paninski L, Fellows M R and Donoghue J P 2002 Instant neural control of a movement signal Nature 416 141-2 (Pubitemid 34246464)
15. Wessberg J, Stambaugh C R, Kralik J D, Beck P D, Laubach M, Chapin J K, Kim J, Biggs S J, Srinivasan M A and Nicolelis M A 2000 Real-time prediction of hand trajectory by ensembles of cortical neurons in primates Nature 408 361-5
16. Collinger J L, Wodlinger B, Downey J E, Wang W, Tyler-Kabara E C, Weber D J, McMorland A J, Velliste M, Boninger M L and Schwartz A B 2012 High-performance neuroprosthetic control by an individual with tetraplegia Lancet 381 557-64
17. Ethier C, Oby E, Bauman M and Miller L 2012 Restoration of grasp following paralysis through brain-controlled stimulation of muscles Nature 485 368-71
18. Mehring C, Rickert J, Vaadia E, de Oliveira S C, Aertsen A and Rotter S 2003 Inference of hand movements from local field potentials in monkey motor cortex Nature Neurosci. 6 1253-4 (Pubitemid 37485117)
19. Chestek C A, Gilja V, Nuyujukian P, Foster J D, Fan J M, Kaufman M T, Churchland M M, Rivera-Alvidrez Z, Cunningham J P and Ryu S I 2011 Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex J. Neural Eng. 8 045005
20. Fraser G W, Chase S M, Whitford A and Schwartz A B 2009 Control of a brain-computer interface without spike sorting J. Neural Eng. 6 055004
21. Stark E and Abeles M 2007 Predicting movement from multiunit activity J. Neurosci. 27 8387-94 (Pubitemid 47219625)
22. Flint R D, Wright Z A, Scheid M R and Slutzky M W 2013 Long term, stable brain machine interface performance using local field potentials and multiunit spikes J. Neural Eng. 10 056005
23. Flint R D, Lindberg E W, Jordan L R, Miller L E and Slutzky M W 2012 Accurate decoding of reaching movements from field potentials in the absence of spikes J. Neural Eng. 9 046006
24. Flint R D, Ethier C, Oby E R, Miller L E and Slutzky M W 2012 Local field potentials allow accurate decoding of muscle activity J. Neurophysiol. 108 18-24
25. Bansal A K, Vargas-Irwin C E, Truccolo W and Donoghue J P 2011 Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices J. Neurophysiol. 105 1603-19
26. Zhuang J, Truccolo W, Vargas-Irwin C and Donoghue J P 2010 Decoding 3-D reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex IEEE Trans. Biomed. Eng. 57 1774-84
27. Asher I, Stark E, Abeles M and Prut Y 2007 Comparison of direction and object selectivity of local field potentials and single units in macaque posterior parietal cortex during prehension J. Neurophysiol. 97 3684-95 (Pubitemid 47084780)
28. Heldman D A, Wang W, Chan S S and Moran D W 2006 Local field potential spectral tuning in motor cortex during reaching IEEE Trans. Neural Syst. Rehabil. Eng. 14 180-3 (Pubitemid 44150236)
29. Scherberger H, Jarvis M R and Andersen R A 2005 Cortical local field potential encodes movement intentions in the posterior parietal cortex Neuron 46 347-54 (Pubitemid 40545788)
30. Rickert J, de Oliveira S C, Vaadia E, Aertsen A, Rotter S and Mehring C 2005 Encoding of movement direction in different frequency ranges of motor cortical local field potentials J. Neurosci. 25 8815-24 (Pubitemid 41384449)
31. Gilja V, Chestek C, Diester I, Henderson J, Deisseroth K and Shenoy K 2011 Challenges and opportunities for next-generation intra-cortically based neural prostheses IEEE Trans. Biomed. Eng. 58 1891-9
32. Dickey A S, Suminski A, Amit Y and Hatsopoulos N G 2009 Single-unit stability using chronically implanted multielectrode arrays J. Neurophysiol. 102 1331-9
33. Zhang S, Liao Y, Zheng X, Chen W and Wang Y 2011 Decoding the nonstationary neural activity in motor cortex for brain machine interfaces Int. J. Imaging Syst. Tech. 21 158-64
34. Wu W and Hatsopoulos N G 2008 Real-time decoding of nonstationary neural activity in motor cortex IEEE Trans. Neural Syst. Rehabil. Eng. 16 213-22 (Pubitemid 351832433)
35. Li Z, O'Doherty J E, Lebedev M A and Nicolelis M A 2011 Adaptive decoding for brain-machine interfaces through Bayesian parameter updates Neural Comput. 23 3162-204
36. Sanchez J C, Mahmoudi B, DiGiovanna J and Principe J C 2009 Exploiting co-adaptation for the design of symbiotic neuroprosthetic assistants Neural Netw. 22 305-15
37. DiGiovanna J, Mahmoudi B, Fortes J, Principe J C and Sanchez J C 2009 Coadaptive brain-machine interface via reinforcement learning IEEE Trans. Biomed. Eng. 56 54-64
38. Mahmoudi B, DiGiovanna J, Principe J C and Sanchez J C 2008 Co-adaptive learning in brain-machine interfaces Brain Inspired Cognitive Systems (Sao Luis, Brazil)
39. Katzner S, Nauhaus I, Benucci A, Bonin V, Ringach D L and Carandini M 2009 Local origin of field potentials in visual cortex Neuron 61 35-41
40. Zhang Q S, Zhang S M, Hao Y Y, Zhang H J, Zhu J M, Zhao T, Zhang J M, Wang Y W, Zheng X X and Chen W D 2012 Development of an invasive brain-machine interface with a monkey model Chin. Sci. Bull. 57 2036-45
41. Percival D and Walden A 1993 Spectral Analysis for Physical Applications: Multitaper and Conventional Univariate Techniques (Cambridge: Cambridge University Press)
42. Schalk G, Kubanek J, Miller K, Anderson N, Leuthardt E, Ojemann J, Limbrick D, Moran D, Gerhardt L and Wolpaw J R 2007 Decoding two-dimensional movement trajectories using electrocorticographic signals in humans J. Neural Eng. 4 264
43. Georgopoulos A P, Schwartz A B and Kettner R E 1986 Neuronal population coding of movement direction Science 233 1416-9 (Pubitemid 17169374)
44. Burges C J 1998 A tutorial on support vector machines for pattern recognition Data Min. Knowl. Discov. 2 121-67 (Pubitemid 128695475)
45. Wu W, Black M J, Mumford D, Gao Y, Bienenstock E and Donoghue J P 2004 Modeling and decoding motor cortical activity using a switching Kalman filter IEEE Trans. Biomed. Eng. 51 933-42 (Pubitemid 38661445)
46. Simeral J, Kim S, Black M, Donoghue J and Hochberg L 2011 Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array J. Neural Eng. 8 025027
47. Suner S, Fellows M R, Vargas-Irwin C, Nakata G K and Donoghue J P 2005 Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex IEEE Trans. Neural Syst. Rehabil. Eng. 13 524-41 (Pubitemid 43015559)
48. Williams J C, Rennaker R L and Kipke D R 1999 Long-term neural recording characteristics of wire microelectrode arrays implanted in cerebral cortex Brain Res. Protoc. 4 303-13
49. Vetter R J, Williams J C, Hetke J F, Nunamaker E A and Kipke D R 2004 Chronic neural recording using silicon-substrate microelectrode arrays implanted in cerebral cortex IEEE Trans. Biomed. Eng. 51 896-904 (Pubitemid 38661440)
50. Cheung K C 2007 Implantable microscale neural interfaces Biomed. Microdev. 9 923-38 (Pubitemid 350020688)
51. Biran R, Martin D C and Tresco P A 2005 Neuronal cell loss accompanies the brain tissue response to chronically implanted silicon microelectrode arrays Exp. Neurol. 195 115-26 (Pubitemid 41116819)
52. Polikov V S, Tresco P A and Reichert W M 2005 Response of brain tissue to chronically implanted neural electrodes J. Neurosci. Methods 148 1-18 (Pubitemid 41423453)
53. Maynard E M, Nordhausen C T and Normann R A 1997 The Utah intracortical electrode array: a recording structure for potential brain-computer interfaces Electroencephalogr. Clin. Neurophysiol. 102 228-39 (Pubitemid 27165391)
54. Winslow B D and Tresco P A 2010 Quantitative analysis of the tissue response to chronically implanted microwire electrodes in rat cortex Biomaterials 31 1558-67
55. Moffitt M A and McIntyre C C 2005 Model-based analysis of cortical recording with silicon microelectrodes Clin. Neurophysiol. 116 2240-50 (Pubitemid 41262214)
56. Prasad A and Sanchez J C 2012 Quantifying long-term microelectrode array functionality using chronic in vivo impedance testing J. Neural Eng. 9 026028
57. Padoa-Schioppa C, Li C-S R and Bizzi E 2004 Neuronal activity in the supplementary motor area of monkeys adapting to a new dynamic environment J. Neurophysiol. 91 449-73 (Pubitemid 38084387)
58. Helms Tillery S, Taylor D and Schwartz A 2003 Training in cortical control of neuroprosthetic devices improves signal extraction from small neuronal ensembles Rev. Neurosci. 14 107-20
59. Sanes J N and Donoghue J P 2000 Plasticity and primary motor cortex Annu. Rev. Neurosci. 23 393-415 (Pubitemid 30350048)
60. Bansal A K, Truccolo W, Vargas-Irwin C E and Donoghue J P 2012 Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials J. Neurophysiol. 107 1337-55
61. Kajikawa Y and Schroeder C E 2011 How local is the local field potential? Neuron 72 847-58
62. Zhang S, Jiang B, Zhu J, Zhang Q, Chen W, Zheng X and Zhao T 2011 A study on combining local field potential and single unit activity for better neural decoding Int. J. Imaging Syst. Tech. 21 165-72
63. Gaucher Q, Edeline J-M and Gourévitch B 2012 How different are the local field potentials and spiking activities? Insights from multi-electrodes arrays J. Physiol. Paris 106 93-103
64. Hwang E J and Andersen R A 2013 The utility of multichannel local field potentials for brain-machine interfaces J. Neural Eng. 10 046005
65. Krüger J, Caruana F, Dalla Volta R and Rizzolatti G 2010 Seven years of recording from monkey cortex with a chronically implanted multiple microelectrode Front. Neuroeng. 3 6
66. Wang W, Collinger J L, Degenhart A D, Tyler-Kabara E C, Schwartz A B, Moran D W, Weber D J, Wodlinger B, Vinjamuri R K and Ashmore R C 2013 An electrocorticographic brain interface in an individual with tetraplegia PLoS ONE 8 e55344
67. Lebedev M A, Carmena J M, O'Doherty J E, Zacksenhouse M, Henriquez C S, Principe J C and Nicolelis M A 2005 Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface J. Neurosci. 25 4681-93 (Pubitemid 40664117)