Extracting kinetic information from human motor cortical signals

NeuroImage

Volumn 101, Issue , 2014, Pages 695-703

  Flint, Robert D ^a   Wang, Po T ^b   Wright, Zachary A ^a   King, Christine E ^b   Krucoff, Max O ^c   Schuele, Stephan U ^a   Rosenow, Joshua M ^d   Hsu, Frank P K ^e   Liu, Charles Y ^f,g   Lin, Jack J ^e   Sazgar, Mona ^e   Millett, David E ^b,f   Shaw, Susan J ^b,f   Nenadic, Zoran ^b,h   Do, An H ^e   Slutzky, Marc W ^a,d,i  

^a NORTHWESTERN UNIVERSITY   (United States)

^b University of California at Irvine   (United States)

^c DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d NORTHWESTERN UNIVERSITY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f RANCHO LOS AMIGOS NATIONAL REHABILITATION CENTER   (United States)

^g UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^h UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

ⁱ REHABILITATION INSTITUTE OF CHICAGO   (United States)

Author keywords

Brain machine interface; Decoding; Electrocorticography; EMG; Force; Motor cortex

Indexed keywords

ACCURACY; ADULT; ARTICLE; CENTRAL SULCUS; ELECTROCORTICOGRAPHY; FEMALE; FLEXOR MUSCLE; GRIP STRENGTH; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; INDEX FINGER; KINEMATICS; MALE; MOTOR CORTEX; MUSCLE CONTRACTION; NEUROTRANSMISSION; PINCH STRENGTH; PREDICTION; TASK PERFORMANCE; THUMB; BRAIN MAPPING; ELECTRODE IMPLANT; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; GAMMA RHYTHM; HAND; KINETICS; MIDDLE AGED; MUSCLE ISOMETRIC CONTRACTION; PHYSIOLOGY; PROCEDURES; SKELETAL MUSCLE; YOUNG ADULT;

ADULT; BRAIN MAPPING; ELECTRODES, IMPLANTED; ELECTROENCEPHALOGRAPHY; ELECTROMYOGRAPHY; FEMALE; GAMMA RHYTHM; HAND; HUMANS; ISOMETRIC CONTRACTION; KINETICS; MALE; MIDDLE AGED; MOTOR CORTEX; MUSCLE, SKELETAL; YOUNG ADULT;

EID: 84907029183     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.07.049     Document Type: Article

References (58)

1. Acharya S., Fifer M.S., Benz H.L., Crone N.E., Thakor N.V. Electrocorticographic amplitude predicts finger positions during slow grasping motions of the hand. J. Neural Eng. 2010, 7:046002.
2. Aggarwal V., Acharya S., Tenore F., Shin H.C., Etienne-Cummings R., Schieber M.H., Thakor N.V. Asynchronous decoding of dexterous finger movements using M1 neurons. IEEE Trans. Neural Syst. Rehabil. Eng. 2008, 16:3-14.
3. Aggarwal V., Mollazadeh M., Davidson A.G., Schieber M.H., Thakor N.V. State-based decoding of hand and finger kinematics using neuronal ensemble and LFP activity during dexterous reach-to-grasp movements. J. Neurophysiol. 2013, 109:3067-3081.
4. Andersen R.A., Musallam S., Pesaran B. Selecting the signals for a brain-machine interface. Curr. Opin. Neurobiol. 2004, 14:720-726.
5. Bansal A.K., Vargas-Irwin C.E., Truccolo W., Donoghue J.P. 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. 2011, 105:1603-1619.
6. Ben Hamed S., Schieber M.H., Pouget A. Decoding M1 neurons during multiple finger movements. J. Neurophysiol. 2007, 98:327-333.
7. Boudreau M.J., Brochier T., Pare M., Smith A.M. Activity in ventral and dorsal premotor cortex in response to predictable force-pulse perturbations in a precision grip task. J. Neurophysiol. 2001, 86:1067-1078.
8. 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., Nicolelis M.A. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol. 2003, 1:1-16.
9. Castiello U., Begliomini C. The cortical control of visually guided grasping. Neuroscientist 2008, 14:157-170.
10. Chao Z.C., Nagasaka Y., Fujii N. Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys. Front. Neuroenerg. 2010, 3:1-10.
11. Chestek C.A., Gilja V., Blabe C.H., Foster B.L., Shenoy K.V., Parvizi J., Henderson J.M. Hand posture classification using electrocorticography signals in the gamma band over human sensorimotor brain areas. J. Neural Eng. 2013, 10:026002.
12. 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., Schwartz A.B. High-performance neuroprosthetic control by an individual with tetraplegia. Lancet 2013, 381:557-564.
13. Danion F., Diamond J.S., Flanagan J.R. Separate contributions of kinematic and kinetic errors to trajectory and grip force adaptation when transporting novel hand-held loads. J. Neurosci. 2013, 33:2229-2236.
14. Davare M., Kraskov A., Rothwell J.C., Lemon R.N. Interactions between areas of the cortical grasping network. Curr. Opin. Neurobiol. 2011, 21:565-570.
15. Desmedt J.E., Chalklin V., Tomberg C. Emulation of somatosensory evoked potential (SEP) components with the 3-shell head model and the problem of 'ghost potential fields' when using an average reference in brain mapping. Electroencephalogr. Clin. Neurophysiol. 1990, 77:243-258.
16. Ethier C., Oby E.R., Bauman M.J., Miller L.E. Restoration of grasp following paralysis through brain-controlled stimulation of muscles. Nature 2012, 485:368-371.
17. Evarts E.V., Fromm C., Kroller J., Jennings V.A. Motor cortex control of finely graded forces. J. Neurophysiol. 1983, 49:1199-1215.
18. Fagg A.H., Ojakangas G.W., Miller L.E., Hatsopoulos N.G. Kinetic trajectory decoding using motor cortical ensembles. IEEE Trans. Neural Syst. Rehabil. Eng. 2009, 17:487-496.
19. Fifer M., Hotson G., Wester B., McMullen D., Wang Y., Johannes M., Katyal K., Helder J., Para M., Vogelstein R.J., Anderson W., Thakor N., Crone N. Simultaneous neural control of simple reaching and grasping with the modular prosthetic limb using intracranial EEG. IEEE Trans. Neural Syst. Rehabil. Eng. 2014, 22(3):695-705.
20. Flint R.D., Ethier C., Oby E.R., Miller L.E., Slutzky M.W. Local field potentials allow accurate decoding of muscle activity. J. Neurophysiol. 2012, 108:18-24.
21. Flint R.D., Lindberg E.W., Jordan L.R., Miller L.E., Slutzky M.W. Accurate decoding of reaching movements from field potentials in the absence of spikes. J. Neural Eng. 2012, 9:046006.
22. Flint R.D., Wright Z.A., Scheid M.R., Slutzky M.W. Long term, stable brain machine interface performance using local field potentials and multiunit spikes. J. Neural Eng. 2013, 10:056005.
23. Hendrix C.M., Mason C.R., Ebner T.J. Signaling of grasp dimension and grasp force in dorsal premotor cortex and primary motor cortex neurons during reach to grasp in the monkey. J. Neurophysiol. 2009, 102:132-145.
24. Hepp-Reymond M., Kirkpatrick-Tanner M., Gabernet L., Qi H.X., Weber B. Context-dependent force coding in motor and premotor cortical areas. Exp. Brain Res. 1999, 128:123-133.
25. Hermes D., Miller K.J., Noordmans H.J., Vansteensel M.J., Ramsey N.F. Automated electrocorticographic electrode localization on individually rendered brain surfaces. J. Neurosci. Methods 2010, 185:293-298.
26. Hochberg L.R., Serruya M.D., Friehs G.M., Mukand J.A., Saleh M., Caplan A.H., Branner A., Chen D., Penn R.D., Donoghue J.P. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006, 442:164-171.
27. Hochberg L.R., Bacher D., Jarosiewicz B., Masse N.Y., Simeral J.D., Vogel J., Haddadin S., Liu J., Cash S.S., van der Smagt P., Donoghue J.P. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 2012, 485:372-375.
28. Hunter I.W., Korenberg M.J. The identification of nonlinear biological systems: Wiener and Hammerstein cascade models. Biol. Cybern. 1986, 55:135-144.
29. Krakauer J.W., Ghilardi M.F., Ghez C. Independent learning of internal models for kinematic and dynamic control of reaching. Nat. Neurosci. 1999, 2:1026-1031.
30. Kubanek J., Miller K.J., Ojemann J.G., Wolpaw J.R., Schalk G. Decoding flexion of individual fingers using electrocorticographic signals in humans. J. Neural Eng. 2009, 6:066001.
31. Markowitz D.A., Wong Y.T., Gray C.M., Pesaran B. Optimizing the decoding of movement goals from local field potentials in macaque cortex. J. Neurosci. 2011, 31:18412-18422.
32. McFarland D.J., McCane L.M., David S.V., Wolpaw J.R. Spatial filter selection for EEG-based communication. Electroencephalogr. Clin. Neurophysiol. 1997, 103:386-394.
33. Mehring C., Nawrot M.P., de Oliveira S.C., Vaadia E., Schulze-Bonhage A., Aertsen A., Ball T. Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex. J. Physiol. Paris 2004, 98:498-506.
34. Miller K.J., Makeig S., Hebb A.O., Rao R.P., denNijs M., Ojemann J.G. Cortical electrode localization from X-rays and simple mapping for electrocorticographic research: the "Location on Cortex" (LOC) package for MATLAB. J. Neurosci. Methods 2007, 162:303-308.
35. Miller K.J., Zanos S., Fetz E.E., den Nijs M., Ojemann J.G. Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans. J. Neurosci. 2009, 29:3132-3137.
36. Moritz C.T., Perlmutter S.I., Fetz E.E. Direct control of paralysed muscles by cortical neurons. Nature 2008, 456:639-642.
37. Murthy V.N., Fetz E.E. Oscillatory activity in sensorimotor cortex of awake monkeys: synchronization of local field potentials and relation to behavior. J. Neurophysiol. 1996, 76:3949-3967.
38. Pistohl T., Schulze-Bonhage A., Aertsen A., Mehring C., Ball T. Decoding natural grasp types from human ECoG. Neuroimage 2012, 59:248-260.
39. Pohlmeyer E.A., Oby E.R., Perreault E.J., Solla S.A., Kilgore K.L., Kirsch R.F., Miller L.E. Toward the restoration of hand use to a paralyzed monkey: brain-controlled functional electrical stimulation of forearm muscles. PLoS One 2009, 4:e5924.
40. Rouse A.G., Williams J.J., Wheeler J.J., Moran D.W. Cortical adaptation to a chronic micro-electrocorticographic brain computer interface. J. Neurosci. 2013, 33:1326-1330.
41. Schalk G., McFarland D.J., Hinterberger T., Birbaumer N., Wolpaw J.R. BCI2000: a general-purpose brain-computer interface (BCI) system. IEEE Trans. Biomed. Eng. 2004, 51:1034-1043.
42. Schalk G., Kubanek J., Miller K.J., Anderson N.R., Leuthardt E.C., Ojemann J.G., Limbrick D., Moran D., Gerhardt L.A., Wolpaw J.R. Decoding two-dimensional movement trajectories using electrocorticographic signals in humans. J. Neural Eng. 2007, 4:264-275.
43. Schieber M.H., Poliakov A.V. Partial inactivation of the primary motor cortex hand area: effects on individuated finger movements. J. Neurosci. 1998, 18:9038-9054.
44. Shimoda K., Nagasaka Y., Chao Z.C., Fujii N. Decoding continuous three-dimensional hand trajectories from epidural electrocorticographic signals in Japanese macaques. J. Neural Eng. 2012, 9:036015.
45. Shin D., Watanabe H., Kambara H., Nambu A., Isa T., Nishimura Y., Koike Y. Prediction of muscle activities from electrocorticograms in primary motor cortex of primates. PLoS One 2012, 7:e47992.
46. Sillay K.A., Rutecki P., Cicora K., Worrell G., Drazkowski J., Shih J.J., Sharan A.D., Morrell M.J., Williams J., Wingeier B. Long-term measurement of impedance in chronically implanted depth and subdural electrodes during responsive neurostimulation in humans. Brain Stimul. 2013, 6:718-726.
47. Simeral J.D., Kim S.P., Black M.J., Donoghue J.P., Hochberg L.R. Neural control of cursor trajectory and click by a human with tetraplegia 1000days after implant of an intracortical microelectrode array. J. Neural Eng. 2011, 8:025027.
48. Slutzky M.W., Jordan L.R., Krieg T., Chen M., Mogul D.J., Miller L.E. Optimal spacing of surface electrode arrays for brain-machine interface applications. J. Neural Eng. 2010, 7:26004.
49. Slutzky M.W., Jordan L.R., Lindberg E.W., Lindsay K.E., Miller L.E. Decoding the rat forelimb movement direction from epidural and intracortical field potentials. J. Neural Eng. 2011, 8:036013.
50. Spinks R.L., Kraskov A., Brochier T., Umilta M.A., Lemon R.N. Selectivity for grasp in local field potential and single neuron activity recorded simultaneously from M1 and F5 in the awake macaque monkey. J. Neurosci. 2008, 28:10961-10971.
51. Suminski A.J., Tkach D.C., Fagg A.H., Hatsopoulos N.G. Incorporating feedback from multiple sensory modalities enhances brain-machine interface control. J. Neurosci. 2010, 30:16777-16787.
52. Townsend B.R., Subasi E., Scherberger H. Grasp movement decoding from premotor and parietal cortex. J. Neurosci. 2011, 31:14386-14398.
53. Vargas-Irwin C.E., Shakhnarovich G., Yadollahpour P., Mislow J.M., Black M.J., Donoghue J.P. Decoding complete reach and grasp actions from local primary motor cortex populations. J. Neurosci. 2010, 30:9659-9669.
54. 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., Ashmore R.C., Kelly J.W., Boninger M.L. An electrocorticographic brain interface in an individual with tetraplegia. PLoS One 2013, 8:e55344.
55. Wang P.T., King C.E., Shaw S.J., Millett D.E., Liu C.Y., Chui L.A., Nenadic Z., Do A.H. A co-registration approach for electrocorticogram electrode localization using post-implantation MRI and CT of the head. IEEE EMBS Conf on Neural Eng 2013.
56. Westwick D.T., Pohlmeyer E.A., Solla S.A., Miller L.E., Perreault E.J. Identification of multiple-input systems with highly coupled inputs: application to EMG prediction from multiple intracortical electrodes. Neural Comput. 2006, 18:329-355.
57. Yanagisawa T., Hirata M., Saitoh Y., Goto T., Kishima H., Fukuma R., Yokoi H., Kamitani Y., Yoshimine T. Real-time control of a prosthetic hand using human electrocorticography signals. J. Neurosurg. 2011, 114:1715-1722.
58. Zhuang J., Truccolo W., Vargas-Irwin C., Donoghue J.P. Reconstructing grasping motions from high-frequency local field potentials in primary motor cortex. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference 2010, 4347-4350.