Real-time estimation and biofeedback of single-neuron firing rates using local field potentials

Nature Communications

Volumn 5, Issue , 2014, Pages

  Hall, Thomas M ^a   Nazarpour, Kianoush ^a,b   Jackson, Andrew ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRODE; LONG-TERM CHANGE; NEUROLOGY;

ACTION POTENTIAL; ANIMAL EXPERIMENT; ARTICLE; BRAIN COMPUTER INTERFACE; BRAIN ELECTROPHYSIOLOGY; ELECTRIC POTENTIAL; EXPERIMENTAL MONKEY; FEEDBACK SYSTEM; FEMALE; LOCAL FIELD POTENTIAL; MOTOR CORTEX; NERVE CELL; NERVE CELL CHARACTERISTICS AND FUNCTIONS; NONHUMAN; SINGLE NEURON FIRING RATE; SPIKE WAVE; TIME PERCEPTION; WRIST; ANIMAL; ELECTRODE IMPLANT; NEUROFEEDBACK; PHYSIOLOGY; PROCEDURES; RHESUS MONKEY;

ACTION POTENTIALS; ANIMALS; BRAIN-COMPUTER INTERFACES; ELECTRODES, IMPLANTED; FEMALE; MACACA MULATTA; NEUROFEEDBACK; NEURONS;

EID: 84923312654     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms6462     Document Type: Article

References (53)

1. Taylor, D. M., Tillery, S. I. H. & Schwartz, A. B. Direct cortical control of 3D neuroprosthetic devices. Science 296, 1829-1832 (2002).
2. Carmena, J. M. et al. Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol. 1, 193-208 (2003).
3. Hochberg, L. R. et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442, 164-171 (2006).
4. Guggenmos, D. J. et al. Restoration of function after brain damage using a neural prosthesis. Proc. Natl Acad. Sci. USA 110, 21177-21182 (2013).
5. Zimmermann, J. B. & Jackson, A. Closed-loop control of spinal cord stimulation to restore hand function after paralysis. Front. Neurosci. 8, 87 (2014).
6. Polikov, V. S., Tresco, P. A. & Reichert, W. M. Response of brain tissue to chronically implanted neural electrodes. J. Neurosci. Meth. 148, 1-18 (2005).
7. Leach, J. B., Achyuta, A. K. H. & Murthy, S. K. Bridging the divide between neuroprosthetic design, tissue engineering and neurobiology. Front. Neuroeng. 2, 18 (2010).
8. Barrese, J. C. et al. Failure mode analysis of silicon-based intracortical microelectrode arrays in non-human primates. J. Neural Eng. 10, 066014 (2013).
9. Kipke, D. R. et al. Advanced neurotechnologies for chronic neural interfaces: new horizons and clinical opportunities. J. Neurosci. 28, 11830-11838 (2008).
10. Berens, P., Keliris, G. A., Ecker, A. S., Logothetis, N. K. & Tolias, A. S. Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex. Front. Syst. Neurosci 2, 2 (2008).
11. Katzner, S. et al. Local origin of field potentials in visual cortex. Neuron 61, 35-41 (2009).
12. Xing, D., Yeh, C.-I. & Shapley, R. M. Spatial spread of the local field potential and its laminar variation in visual cortex. J. Neurosci. 29, 11540-11549 (2009).
13. Kajikawa, Y. & Schroeder, C. E. How local is the local field potential? Neuron 72, 847-858 (2011).
14. Buzsáki, G., Anastassiou, C. A. & Koch, C. The origin of extracellular fields and currents-EEG, ECoG, LFP and spikes. Nat. Rev. Neurosci. 13, 407-420 (2012).
15. Einevoll, G. T., Kayser, C., Logothetis, N. K. & Panzeri, S. Modelling and analysis of local field potentials for studying the function of cortical circuits. Nat. Rev. Neurosci. 14, 770-785 (2013).
16. Andersen, R. A., Musallam, S. & Pesaran, B. Selecting the signals for a brainmachine interface. Curr. Opin. Neurobiol. 14, 720-726 (2004).
17. 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. 10, 056005 (2013).
18. 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. 9, 046006 (2012).
19. Wang, D. et al. Long-term decoding stability of local field potentials from silicon arrays in primate motor cortex during a 2D center out task. J. Neural Eng. 11, 036009 (2014).
20. Mehring, C. et al. Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex. J. Physiol. Paris 98, 498-506 (2004).
21. Rickert, J. et al. Encoding of movement direction in different frequency ranges of motor cortical local field potentials. J. Neurosci. 25, 8815-8824 (2005).
22. O'Leary, J. G. & Hatsopoulos, N. G. Early visuomotor representations revealed from evoked local field potentials in motor and premotor cortical areas. J. Neurophysiol. 96, 1492-1506 (2006).
23. 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. 105, 1603-1619 (2011).
24. Hall, T. M., de Carvalho, F. & Jackson, A. A common structure underlies lowfrequency cortical dynamics in movement, sleep, and sedation. Neuron 83, 1185-1199 (2014).
25. Ganguly, K., Dimitrov, D. F., Wallis, J. D. & Carmena, J. M. Reversible largescale modification of cortical networks during neuroprosthetic control. Nat. Neurosci. 14, 662-667 (2011).
26. Fan, J. M. et al. Intention estimation in brain-machine interfaces. J. Neural Eng. 11, 016004 (2014).
27. Orsborn, A. L. et al. Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control. Neuron 82, 1380-1393 (2014).
28. Fetz, E. E. Operant conditioning of cortical unit activity. Science 163, 955-958 (1969).
29. Jackson, A. & Fetz, E. E. Interfacing with the computational brain. IEEE Trans. Neural Syst. Rehabil. Eng. 19, 534-541 (2011).
30. Hwang, E. J., Bailey, P. M. & Andersen, R. A. Volitional control of neural activity relies on the natural motor repertoire. Curr. Biol. 23, 353-361 (2013).
31. Engelhard, B., Ozeri, N., Israel, Z., Bergman, H. & Vaadia, E. Inducing gamma oscillations and precise spike synchrony by operant conditioning via brainmachine Interface. Neuron 77, 361-375 (2013).
32. So, K., Dangi, S., Orsborn, A. L., Gastpar, M. C. & Carmena, J. M. Subjectspecific modulation of local field potential spectral power during brain-machine interface control in primates. J. Neural Eng. 11, 026002 (2014).
33. Rasch, M. J., Gretton, A., Murayama, Y., Maass, W. & Logothetis, N. K. Inferring spike trains from local field potentials. J. Neurophysiol. 99, 1461-1476 (2008).
34. Rasch, M. J., Logothetis, N. K. & Kreiman, G. From neurons to circuits: linear estimation of local field potentials. J. Neurosci. 29, 13785-13796 (2009).
35. Nauhaus, I., Busse, L., Carandini, M. & Ringach, D. L. Stimulus contrast modulates functional connectivity in visual cortex. Nat. Neurosci. 12, 70-76 (2009).
36. Okun, M., Naim, A. & Lampl, I. The subthreshold relation between cortical local field potential and neuronal firing unveiled by intracellular recordings in awake rats. J. Neurosci. 30, 4440-4448 (2010).
37. Zanos, S., Zanos, T. P., Marmarelis, V. Z., Ojemann, G. A. & Fetz, E. E. Relationships between spike-free local field potentials and spike timing in human temporal cortex. J. Neurophysiol. 107, 1808-1821 (2012).
38. Hwang, E. J. & Andersen, R. A. The utility of multichannel local field potentials for brain-machine interfaces. J. Neural Eng. 10, 046005 (2013).
39. Jackson, A. & Fetz, E. E. Compact movable microwire array for long-term chronic unit recording in cerebral cortex of primates. J. Neurophysiol. 98, 3109-3118 (2007).
40. Waldert, S., Lemon, R. N. & Kraskov, A. Influence of spiking activity on cortical local field potentials. J. Physiol. 591, 5291-5303 (2013).
41. Einevoll, G. T. et al. Laminar population analysis: estimating firing rates and evoked synaptic activity from multielectrode recordings in rat barrel cortex. J. Neurophysiol. 97, 2174-2190 (2007).
42. Canolty, R. T. et al. Oscillatory phase coupling coordinates anatomically dispersed functional cell assemblies. Proc. Natl Acad. Sci. USA 107, 17356-17361 (2010).
43. Destexhe, A., Contreras, D. & Steriade, M. LTS cells in cerebral cortex and their role in generating spike-and-wave oscillations. Neurocomputing 38, 555-563 (2001).
44. Carracedo, L. M. et al. A neocortical delta rhythm facilitates reciprocal interlaminar interactions via nested theta rhythms. J. Neurosci. 33, 10750-10761 (2013).
45. Dine, J., Kühne, C., Deussing, J. M. & Eder, M. Optogenetic evocation of field inhibitory postsynaptic potentials in hippocampal slices: a simple and reliable approach for studying pharmacological effects on GABAA and GABAB receptor-mediated neurotransmission. Front. Cell. Neurosci. 8, 2 (2014).
46. Hutcheon, B., Miura, R. M. & Puil, E. Subthreshold membrane resonance in neocortical neurons. J. Neurophysiol. 76, 683-697 (1996).
47. Destexhe, A. Spike-and-wave oscillations based on the properties of GABAB receptors. J. Neurosci. 18, 9099-9111 (1998).
48. 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. 31, 18412-18422 (2011).
49. 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. 18, 329-355 (2006).
50. Belitski, A. et al. Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information. J. Neurosci. 28, 5696-5709 (2008).
51. Gilja, V. et al. A high-performance neural prosthesis enabled by control algorithm design. Nat. Neurosci. 15, 1752-1757 (2012).
52. Perreault, E. J., Kirsch, R. F. & Acosta, A. M. Multiple-input, multiple-output system identification for characterization of limb stiffness dynamics. Biol. Cybern. 80, 327-337 (1999).
53. Rosenberg, J. R., Amjad, A. M., Breeze, P., Brillinger, D. R. & Halliday, D. M. The Fourier approach to the identification of functional coupling between neuronal spike trains. Prog. Biophys. Mol. Biol. 53, 1-31 (1989).