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A Simple and Complete Model of Thalamocortical Interactions for Neuroengineering Applications

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Converging Clinical and Engineering Research on Neurorehabilitation III (ICNR 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 21))

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Abstract

The thalamus tends to be presented as a sensory gateway, a relay where little computation takes place. This view, combined with the difficulty of accessing this area related to cortex or peripheral nervous system, resulted in a relative paucity of thalamic computational models being detailed, complete and efficient enough to subserve neuroengineering applications. Here we present a novel model of thalamocortical interaction where both areas are simulated with adaptive integrate and fire spiking neurons. The model is able to reproduce information transfer from thalamus to cortex in both awake and asleep state, as shown by the local field potentials matching those observed experimentally in the two dynamics regimes. The applications in neuroengineering of such a simple and complete model range from simulations of sensory feedback injected directly in the thalamus for tetraplegic patients, to simulations of the effects on cortical activity of DBS stimulation delivered in the basal ganglia or directly in thalamus.

A. Mazzoni was supported by Scuola Superiore Sant’Anna internal fund IEXERC14AM for project “TOUCH-PATH” for analysis and modeling of the whole path of tactile information.

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References

  1. Destexhe, A., Contreras, D., Sejnowski, T.J., Steriade, M.: A model of spindle rhythmicity in the isolated thalamic reticular nucleus. J. Neurophysiol. 72(2), 803–818 (1994)

    Article  Google Scholar 

  2. Golomb, D., Wang, X.J., Rinzel, J.: Propagation of spindle waves in a thalamic slice model. J. Neurophysiol. 75(2), 750–769 (1996)

    Article  Google Scholar 

  3. Muller, L., Destexhe, A.: Propagating waves in thalamus, cortex and the thalamocortical system: experiments and models. J. Physiol.-Paris 106(5), 222–238 (2012)

    Article  Google Scholar 

  4. Ching, S.N., Cimenser, A., Purdon, P.L., Brown, E.N., Kopell, N.J.: Thalamocortical model for a propofol-induced \(\alpha \)-rhythm associated with loss of consciousness. Proc. Natl. Acad. Sci. 107(52), 22665–22670 (2010)

    Article  Google Scholar 

  5. Willis, A.M., Slater, B.J., Gribkova, E.D., Llano, D.A.: Open-loop organization of thalamic reticular nucleus and dorsal thalamus: a computational model. J. Neurophysiol. 114(4), 2353–2367 (2015)

    Article  Google Scholar 

  6. Llinás, R., Jahnsen, H.: Electrophysiology of mammalian thalamic neurones in vitro. Nature 5865, 406–408 (1982)

    Article  Google Scholar 

  7. Halassa, M.M., Chen, Z., Wimmer, R.D., Brunetti, P.M., Zhao, S., Zikopoulos, B.: State-dependent architecture of thalamic reticular subnetworks. Cell 158(4), 808–821 (2014)

    Article  Google Scholar 

  8. Fan, D., Liu, S., Wang, Q.: Stimulus-induced epileptic spike-wave discharges in thalamocortical model with disinhibition. Sci. Rep. 6, 37703 (2016)

    Article  Google Scholar 

  9. Schellenberger Costa, M., Weigenand, A., Ngo, H.-V.V., Marshall, L., Born, J., Martinetz, T., et al.: A thalamocortical neural mass model of the EEG during NREM sleep and its response to auditory stimulation. PLoS Comput. Biol. 12(9), e1005022 (2016)

    Article  Google Scholar 

  10. Barardi, A., Garcia-Ojalvo, J., Mazzoni, A.: Transition between functional regimes in an integrate-and-fire network model of the thalamus. PLoS One 11(9), e0161934 (2016)

    Article  Google Scholar 

  11. Brette, R., Gerstner, W.: Adaptive exponential integrate-and-fire model as an effective description of neuronal activity. J. Neurophysiol. 94(5), 3637–3642 (2005)

    Article  Google Scholar 

  12. Mazzoni, A., Panzeri, S., Logothetis, N.K., Brunel, N.: Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons. PLoS Comput. Biol. 4(12), e1000239 (2008). https://doi.org/10.1371/journal.pcbi.1000239

    Article  MathSciNet  Google Scholar 

  13. Sedigh-Sarvestani, M., Contreras, D., et al.: Intracellular, in vivo, dynamics of thalamocortical synapses in visual cortex. J. Neurosc. 37(21) (2017)

    Google Scholar 

  14. Mazzoni, A., Lindén, H., Cuntz, H., Lansner, A., Panzeri, S., Einevoll, G.T.: Computing the local field potential (LFP) from integrate-and-fire network models. PLoS Comput. Biol. 11(12), e1004584 (2015)

    Article  Google Scholar 

  15. McIntyre, C.C., Grill, W.M., Sherman, D.L., Thakor, N.V.: Cellular effects of deep brain stimulation: model-based analysis of activation and inhibition. J. Neurophysiol. 91, 1457–1469 (2004)

    Article  Google Scholar 

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Saponati, M., Ceccarelli, G., Cataldo, E., Mazzoni, A. (2019). A Simple and Complete Model of Thalamocortical Interactions for Neuroengineering Applications. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_12

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  • DOI: https://doi.org/10.1007/978-3-030-01845-0_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01844-3

  • Online ISBN: 978-3-030-01845-0

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