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Latin American Workshop on Computational Neuroscience

LAWCN 2017: Computational Neuroscience pp 49–60Cite as

Computational Models for the Propagation of Spreading Depression Waves

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 720))

Abstract

Spreading Depression (SD) consists on a wave of depressed neural, electrical, activity and near complete depolarization of large neuron populations. It is believed to occur both in compromised and healthy tissue from a broad range of animal species and every structure of the gray matter. Glutamate is long been known to be involved in the ignition of SD. Therefore, despite action potentials are not necessary for the wave propagation, one would expect synaptic processes to play a role in initiating the phenomenon if they are functional. Several detailed and phenomenological computational models have been proposed to simulate the ignition and spread of SD, but few considered synaptic mechanisms. Here we briefly review them, emphasizing macroscopic models that reproduce the wave features and the lack of synaptic transmission. We also propose extensions to a popular model for the wave spread to test whether structural connectivity could aid in stopping the wave and preventing it from engulfing larger portions of the brain.

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Acknowledgements

This work was supported by the Instituto de Ciência e Tecnologia (INCT) grant (88887.137596/2017-00) from the INCT call MCTI/CNPq/CAPES/FAPs nr. 16/2014.

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Authors and Affiliations

  1. Departamento de Neurologia e Neurocirurgia, Universidade Federal de São Paulo - UNIFESP, São Paulo, Brazil

    Guillem Via, Jean Faber & Esper Abrão Cavalheiro

Authors
  1. Guillem Via
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  2. Jean Faber
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  3. Esper Abrão Cavalheiro
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Corresponding author

Correspondence to Guillem Via .

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Editors and Affiliations

  1. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Dante Augusto Couto Barone

  2. Federal Institute of Education, Science and Technology of Bahia, Camacari, Brazil

    Eduardo Oliveira Teles

  3. Federal Institute of Education, Science and Technology Farroupilha, Santa Maria, Brazil

    Christian Puhlmann Brackmann

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Via, G., Faber, J., Cavalheiro, E.A. (2017). Computational Models for the Propagation of Spreading Depression Waves. In: Barone, D., Teles, E., Brackmann, C. (eds) Computational Neuroscience. LAWCN 2017. Communications in Computer and Information Science, vol 720. Springer, Cham. https://doi.org/10.1007/978-3-319-71011-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-71011-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71010-5

  • Online ISBN: 978-3-319-71011-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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