A study on combining local field potential and single unit activity for better neural decoding

International Journal of Imaging Systems and Technology

Volumn 21, Issue 2, 2011, Pages 165-172

  Zhang, Shaomin ^a,b   Jiang, Bo ^a,b   Zhu, Junming ^a   Zhang, Qiaosheng ^a,b   Chen, Weidong ^a,c   Zheng, Xiaoxiang ^a,b   Zhao, Ting ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c ZHEJIANG UNIVERSITY   (China)

Author keywords

brain machine interface; local field potential; neural decoding; single unit activity; time frequency domain

Indexed keywords

BRAIN MACHINE INTERFACE; LOCAL FIELD POTENTIAL; NEURAL DECODING; SINGLE-UNIT ACTIVITY; TIME FREQUENCY DOMAIN;

BRAIN; ELECTROPHYSIOLOGY; FREQUENCY BANDS; MACHINE COMPONENTS; PATTERN RECOGNITION;

DECODING;

EID: 79955901426     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.20287     Document Type: Article

References (24)

1. R. Andersen, S. Musallam, and, B. Pesaran, Selecting the signals for a brain-machine interface. Curr Opin Neurobiol 14 (2004), 720-726. (Pubitemid 39576203)
2. I. Asher, E. Stark, M. Abeles, and, Y. Prut, Comparison of direction and object selectivity of local field potentials and single units in macaque posterior parietal cortex during prehension. J Neurophysiol 97 (2007), 3684-3695. (Pubitemid 47084780)
3. J. M. Carmena, M. A. Lebedev, R. E. Crist, J. E. O'Doherty, D. M. Santucci, D. F. Dimitrov, P. G. Patil, C. S. Henriquez, and, M. A. L. Nicolelis, Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol 1 (2003), 193-208.
4. C. Chang, and, C. Lin, Libsvm: A library for support vector machines, 2001, Software available at. Accessed on 2011.
5. J.K. Chapin, K.A. Moxon, R.S. Markowitz, and, M.A.L. Nicolelis, Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat Neurosci 2 (1999), 664-670. (Pubitemid 30491219)
6. J. Dai, H. Zhang, S. Zhang, Q. Li, X. Liu, Y. Hao, Y. Yu, K. Jiang, J. Liu, and, F. Zhu, Decoding of spatiotemporal firing pattern of neural ensemble in rat primary motor cortex. Sci China C Life Sci 39 (2009), 736-745.
7. P. Geladi, and, B. Kowalski, Partial least-squares regression: A tutorial. Anal Chim Acta 185 (1986), 1-17.
8. L.R. Hochberg, M.D. Serruya, G.M. Friehs, J.A. Mukand, M. Saleh, A.H. Caplan, A. Branner, D. Chen, R.D. Penn, and, J.P. Donoghue, Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442 (2006), 164-171. (Pubitemid 44086558)
9. N.F. Ince, R. Gupta, S. Arica, A.H. Tewfik, J. Ashe, G. Pellizzer, and IEEE, Movement direction decoding with spatial patterns of local field potentials, Fourth International IEEE/Embs Conference on Neural Engineering, 2009, pp. 284-287.
10. S.P. Kim, J.C. Sanchez, Y.N. Rao, D. Erdogmus, J.M. Carmena, M.A. Lebedev, M.A.L. Nicolelis, and, J.C. Principe, A comparison of optimal mimo linear and nonlinear models for brain-machine interfaces. J Neural Eng 3 (2006), 145-161. (Pubitemid 43841063)
11. M.A. Lebedev, and, M.A.L. Nicolelis, Brain-machine interfaces: Past, present and future. Trends Neurosci 29 (2006), 536-546. (Pubitemid 44291817)
12. C. Mehring, J. Rickert, E. Vaadia, S.C. de Oliveira, A. Aertsen, and, S. Rotter, Inference of hand movements from local field potentials in monkey motor cortex. Nat Neurosci 6 (2003), 1253-1254. (Pubitemid 37485117)
13. M. Mollazadeh, V. Aggarwal, G. Singhal, A. Law, A. Davidson, M. Schieber, and, N. Thakor, Spectral modulation of lfp activity in m1 during dexterous finger movements. Conf Proc IEEE Eng Med Biol Soc 2008 (2008), 5314-5317.
14. M. Mollazadeh, V. Aggarwal, N.V. Thakor, A.J. Law, A. Davidson, M.H. Schieber, and IEEE, Coherency between spike and up activity in m1 during hand movements, Fourth International IEEE/Embs Conference on Neural Engineering, 2009, pp. 499-502.
15. D. Moran, Evolution of brain-computer interface: Action potentials, local field potentials and electrocorticograms. Curr Opin Neurobiol 20 (2010), 741-745.
16. H.C. Peng, F.H. Long, and, C. Ding, Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy. IEEE T Patt Anal 27 (2005), 1226-1238. (Pubitemid 41245053)
17. B. Pesaran, Uncovering the mysterious origins of local field potentials. Neuron 61 (2009), 1-2.
18. J. Rickert, S.C. de Oliveira, E. Vaadia, A. Aertsen, S. Rotter, and, C. Mehring, Encoding of movement direction in different frequency ranges of motor cortical local field potentials. J Neurosci 25 (2005), 8815-8824. (Pubitemid 41384449)
19. H. Scherberger, M.R. Jarvis, and, R.A. Andersen, Cortical local field potential encodes movement intentions in the posterior parietal cortex. Neuron 46 (2005), 347-354. (Pubitemid 40545788)
20. M.D. Serruya, N.G. Hatsopoulos, L. Paninski, M.R. Fellows, and, J.P. Donoghue, Instant neural control of a movement signal. Nature 416 (2002), 141-142. (Pubitemid 34246464)
21. A. Smola, and, B. Sch lkopf, A tutorial on support vector regression. Statist Comput 14 (2004), 199-222. (Pubitemid 39063488)
22. E. Stark, and, M. Abeles, Predicting movement from multiunit activity. J Neurosci 27 (2007), 8387-8394. (Pubitemid 47219625)
23. M. Velliste, S. Perel, M.C. Spalding, A.S. Whitford, and, A.B. Schwartz, Cortical control of a prosthetic arm for self-feeding. Nature 453 (2008), 1098-1101. (Pubitemid 351871735)
24. J. Zhuang, W. Truccolo, C. Vargas-Irwin, and, J.P. Donoghue, Decoding 3-d reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex. IEEE Trans Biomed Eng 57 (2010), 1774-1784.