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A wireless multi-channel neural amplifier for freely moving animals

Abstract

Conventional neural recording systems restrict behavioral experiments to a flat indoor environment compatible with the cable that tethers the subject to recording instruments. To overcome these constraints, we developed a wireless multi-channel system for recording neural signals from rats. The device takes up to 64 voltage signals from implanted electrodes, samples each at 20 kHz, time-division multiplexes them into one signal and transmits that output by radio frequency to a receiver up to 60 m away. The system introduces <4 μV of electrode-referred noise, comparable to wired recording systems, and outperforms existing rodent telemetry systems in channel count, weight and transmission range. This allows effective recording of brain signals in freely behaving animals. We report measurements of neural population activity taken outdoors and in tunnels. Neural firing in the visual cortex was relatively sparse, correlated even across large distances and was strongly influenced by locomotor activity.

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Figure 1: System overview, showing all components (bottom left) and the complete system worn by a rat (bottom right).
Figure 2: Schematic circuits.
Figure 3: Signal path, showing schematically how electrode voltages are transformed by the wireless system.
Figure 4: Noise and range measurements.
Figure 5: Illustrative data: spike trains and response properties from the rat cortex.
Figure 6: Population measures and behavioral modulation of V1 activity indoors.
Figure 7: Behavioral modulation of activity in V1 outdoors.

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References

  1. Wilson, M.A. & McNaughton, B.L. Dynamics of the hippocampal ensemble code for space. Science 261, 1055–1058 (1993).

    Article  CAS  Google Scholar 

  2. Jog, M.S. et al. Tetrode technology: advances in implantable hardware, neuroimaging, and data analysis techniques. J. Neurosci. Methods 117, 141–152 (2002).

    Article  CAS  Google Scholar 

  3. Felsen, G. & Dan, Y. A natural approach to studying vision. Nat. Neurosci. 8, 1643–1646 (2005).

    Article  CAS  Google Scholar 

  4. Lewen, G.D., Bialek, W. & de Ruyter van Steveninck, R.R. Neural coding of naturalistic motion stimuli. Network 12, 317–329 (2001).

    Article  CAS  Google Scholar 

  5. Reppas, J.B., Usrey, W.M. & Reid, R.C. Saccadic eye movements modulate visual responses in the lateral geniculate nucleus. Neuron 35, 961–974 (2002).

    Article  CAS  Google Scholar 

  6. Barlow, H.B. in Sensory Communication (ed. Rosenblith, W.A.) 217–234 (MIT Press, Cambridge, Massachusetts, 1961).

  7. Brun, V.H. et al. Progressive increase in grid scale from dorsal to ventral medial entorhinal cortex. Hippocampus 18, 1200–1212 (2008).

    Article  Google Scholar 

  8. Dabrowski, W. et al. Development of front-end ASICs for imaging neuronal activity in live tissue. Nucl. Instrum. Methods Phys. Res. A 541, 405–411 (2005).

    Article  CAS  Google Scholar 

  9. Dabrowski, W., Grybos, P. & Litke, A.M. A low noise multichannel integrated circuit for recording neuronal signals using microelectrode arrays. Biosens. Bioelectron. 19, 749–761 (2004).

    Article  CAS  Google Scholar 

  10. Grybos, P., Dabrowski, W., Hottowy, P., Fiutowski, T. & Bielewicz, B. Neuroplat64 – low noise CMOS integrated circuit for neural recording applications. Proc. 5th Int. Meet. Substrate-integrated Micro Electrode Arrays, 208–209 (2006).

  11. Hottowy, P. et al. An MEA-based system for multichannel, low artifact stimulation and recording of neural activity. Proc. 6th Int. Meet. Substrate-integrated Micro Electrode Arrays, 261–265 (2008).

  12. Pouzat, C., Mazor, O. & Laurent, G. Using noise signature to optimize spike-sorting and to assess neuronal classification quality. J. Neurosci. Methods 122, 43–57 (2002).

    Article  Google Scholar 

  13. Uchida, N. & Mainen, Z.F. Speed and accuracy of olfactory discrimination in the rat. Nat. Neurosci. 6, 1224–1229 (2003).

    Article  CAS  Google Scholar 

  14. Sinnamon, H.M. & Galer, B.S. Head movements elicited by electrical stimulation of the anteromedial cortex of the rat. Physiol. Behav. 33, 185–190 (1984).

    Article  CAS  Google Scholar 

  15. Reid, R.C., Victor, J.D. & Shapley, R.M. The use of m-sequences in the analysis of visual neurons: linear receptive field properties. Vis. Neurosci. 14, 1015–1027 (1997).

    Article  CAS  Google Scholar 

  16. Barthó, P. et al. Characterization of neocortical principal cells and interneurons by network interactions and extracellular features. J. Neurophysiol. 92, 600–608 (2004).

    Article  Google Scholar 

  17. McCormick, D.A., Connors, B.W., Lighthall, J.W. & Prince, D.A. Comparative electrophysiology of pyramidal and sparsely spiny stellate neurons of the neocortex. J. Neurophysiol. 54, 782–806 (1985).

    Article  CAS  Google Scholar 

  18. Niell, C.M. & Stryker, M.P. Highly selective receptive fields in mouse visual cortex. J. Neurosci. 28, 7520–7536 (2008).

    Article  CAS  Google Scholar 

  19. Ji, D. & Wilson, M.A. Coordinated memory replay in the visual cortex and hippocampus during sleep. Nat. Neurosci. 10, 100–107 (2007).

    Article  CAS  Google Scholar 

  20. Sawinski, J. et al. Visually evoked activity in cortical cells imaged in freely moving animals. Proc. Natl. Acad. Sci. USA 106, 19557–19562 (2009).

    Article  CAS  Google Scholar 

  21. Laughlin, S.B. & Sejnowski, T.J. Communication in neuronal networks. Science 301, 1870–1874 (2003).

    Article  CAS  Google Scholar 

  22. Kohn, A., Zandvakili, A. & Smith, M.A. Correlations and brain states: from electrophysiology to functional imaging. Curr. Opin. Neurobiol. 19, 434–438 (2009).

    Article  CAS  Google Scholar 

  23. Jermakowicz, W.J., Chen, X., Khaytin, I., Bonds, A.B. & Casagrande, V.A. Relationship between spontaneous and evoked spike-time correlations in primate visual cortex. J. Neurophysiol. 101, 2279–2289 (2009).

    Article  Google Scholar 

  24. Gray, C.M., Maldonado, P.E., Wilson, M. & McNaughton, B. Tetrodes markedly improve the reliability and yield of multiple single-unit isolation from multi-unit recordings in cat striate cortex. J. Neurosci. Methods 63, 43–54 (1995).

    Article  CAS  Google Scholar 

  25. Niell, C.M. & Stryker, M.P. Modulation of visual responses by behavioral state in mouse visual cortex. Neuron 65, 472–479 (2010).

    Article  CAS  Google Scholar 

  26. Calhoun, J.B. The Ecology and Sociology of the Norway Rat (U.S. Dept. of Health, Education, and Welfare, Public Health Service, Bethesda, Maryland, 1963).

  27. Borton, D.A. et al. Wireless, high-bandwidth recordings from non-human primate motor cortex using a scalable 16-Ch implantable microsystem. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009, 5531–5534 (2009).

    PubMed  PubMed Central  Google Scholar 

  28. Harrison, R.R. et al. Wireless neural recording with single low-power integrated circuit. IEEE Trans. Neural Syst. Rehabil. Eng. 17, 322–329 (2009).

    Article  Google Scholar 

  29. Gregory, J.A. et al. Low-cost wireless neural recording system and software. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009, 3833–3836 (2009).

    PubMed  PubMed Central  Google Scholar 

  30. Hampson, R.E., Collins, V. & Deadwyler, S.A. A wireless recording system that utilizes Bluetooth technology to transmit neural activity in freely moving animals. J. Neurosci. Methods 182, 195–204 (2009).

    Article  Google Scholar 

  31. Yin, M., Lee, S.B. & Ghovanloo, M. In vivo testing of a low noise 32-channel wireless neural recording system. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2009, 1608–1611 (2009).

    PubMed  PubMed Central  Google Scholar 

  32. Chestek, C.A. et al. HermesC: low-power wireless neural recording system for freely moving primates. IEEE Trans. Neural Syst. Rehabil. Eng. 17, 330–338 (2009).

    Article  Google Scholar 

  33. Miranda, H. et al. A high-rate long-range wireless transmission system for simultaneous multichannel neural recording applications. IEEE Trans. Biomed. Circ. Syst. 4, 181–191 (2010).

    Article  Google Scholar 

  34. Chalupa, L.M. & Willams, R.W. Eye, Retina, and Visual System of the Mouse (MIT Press, Cambridge, Massachusetts, 2008).

  35. Yamamoto, J. & Wilson, M.A. Large-scale chronically implantable precision motorized microdrive array for freely behaving animals. J. Neurophysiol. 100, 2430–2440 (2008).

    Article  Google Scholar 

  36. Lin, L. et al. Large-scale neural ensemble recording in the brains of freely behaving mice. J. Neurosci. Methods 155, 28–38 (2006).

    Article  Google Scholar 

  37. Feierstein, C.E., Quirk, M.C., Uchida, N., Sosulski, D.L. & Mainen, Z.F. Representation of spatial goals in rat orbitofrontal cortex. Neuron 51, 495–507 (2006).

    Article  CAS  Google Scholar 

  38. Siapas, A.G., Lubenov, E.V. & Wilson, M.A. Prefrontal phase locking to hippocampal theta oscillations. Neuron 46, 141–151 (2005).

    Article  CAS  Google Scholar 

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Acknowledgements

We thank A. Leifer and E. Soucy for technical assistance and O. Mazor and A. Biewener for advice. Funding was provided by the McKnight Foundation (M.M., T.A.S.) the Gordon and Betty Moore Foundation (M.M.), the Polish Ministry of Science and Higher Education (W.D., P.H.), the National Science Foundation (PHY-0750525, A.M.L.) and the Burroughs Wellcome Fund Career Award at the Scientific Interface (A.S.).

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Authors and Affiliations

Authors

Contributions

This manuscript was written by T.A.S. and M.M., with comments from all authors. The Neuroplat chip was designed by P.H., W.D. and A.M.L. The back and head boards were designed by A.M.L., V.F., S.K., A.S. and M.V.G. The wireless link was designed by T.A.S. and M.M. Implantations and experiments were performed by A.G.S. and E.V.L. (hippocampus), N.U. (frontal eye field), and T.A.S. and M.A. (V1). Analysis was performed by N.U. (FEF) and T.A.S. and M.M. (V1, hippocampus). M.M. and A.M.L. supervised the project.

Corresponding authors

Correspondence to Tobi A Szuts or Markus Meister.

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The authors declare no competing financial interests.

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Szuts, T., Fadeyev, V., Kachiguine, S. et al. A wireless multi-channel neural amplifier for freely moving animals. Nat Neurosci 14, 263–269 (2011). https://doi.org/10.1038/nn.2730

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