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A population model of the thalamo-cortical system during deep sleep

Sleep has been shown to be crucial for the consolidation of memories, which can be enhanced by sensory or electric stimulation during slow wave sleep [1, 2]. As the thalamo-cortical interaction is important for both the processing of sensory stimuli and the generation of slow waves a detailed understanding of its dynamical properties is needed, to

reveal the influence of one on the other. Population models have been used to investigate the behaviour of brain networks, may it be within specific regions [3] or between different structures of the brain [4]. Although they are able to reproduce a vast variety of oscillatory behavior of the awake brain [5], these models lack the hallmarks of a sleeping thalamus e.g. rebound bursts and waxing/waning of spindles. This is due to the fact that these models solely focus on the synaptic interaction between neural populations, while neglecting their intrinsic properties. However specific currents in the thalamic relay and reticular neurons are necessary for the generation of spindle activity and rebound bursts [6]. Therefore we adapt a cortical population model proposed by [7] to reflect the connectivity found within thalamic nuclei and extend it with the respective Hodgkin-Huxley type currents. We adjust the thalamic model to show the right oscillatory behaviour and investigate the interaction with the cortical region.

References

  1. Marshall L, Helgadóttir H, Mölle M, Borns J: Boosting slow oscillations during sleep potentiates memory. Nature. 2006, 444 (7119): 610-3. 10.1038/nature05278. November

    Article  CAS  PubMed  Google Scholar 

  2. Ngo HVV, Martinetz T, Born J, Mölle M: Rhythm matters Closed-loop nudging of sleep slow oscillations to enhance memory. Neuron. 2013, accepted

    Google Scholar 

  3. Ursino M, Cona F, Zavaglia M: The generation of rhythms within a cortical region: analysis of a neural mass model. NeuroImage. 2010, 52 (3): 1080-94. 10.1016/j.neuroimage.2009.12.084. September

    Article  PubMed  Google Scholar 

  4. Sotero RC, Trujillo-Barreto NJ, Iturria-Medina Y, Carbonell F, Jimenez JC: Realistically coupled neural mass models can generate EEG rhythms. Neural computation. 2007, 19 (2): 478-512. 10.1162/neco.2007.19.2.478. February

    Article  PubMed  Google Scholar 

  5. Bhattacharya BS, Coyle D, Maguire LP: A thalamo-cortico-thalamic neural mass model to study alpha rhythms in Alzheimer's disease. Neural networks. 2011, 24 (6): 631-45. 10.1016/j.neunet.2011.02.009. August

    Article  PubMed  Google Scholar 

  6. Destexhe A, Sejnowski TJ: Interactions between membrane conductances underlying thalamocortical slow-wave oscillations. Physiological reviews. 2003, 83 (4): 1401-53. October

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Steyn-Ross D, Steyn-Ross M, Sleigh JW, Wilson M, Gillies IP, Wright J: The Sleep Cycle Modelled as a Cortical Phase Transition. Journal of Biological Physics. 2005, 31 (3-4): 547-569. 10.1007/s10867-005-1285-2. December

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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Correspondence to Michael Schellenberger Costa.

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This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Costa, M.S., Weigenand, A., Martinetz, T. et al. A population model of the thalamo-cortical system during deep sleep. BMC Neurosci 14 (Suppl 1), P68 (2013). https://doi.org/10.1186/1471-2202-14-S1-P68

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