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Chaos / Volume 21 / Issue 4 / FOCUS ISSUE: NONLINEAR AND STOCHASTIC PHYSICS IN BIOLOGY

Chaos 21, 047506 (2011); http://dx.doi.org/10.1063/1.3640043 (9 pages)

Synchronization analysis of voltage-sensitive dye imaging during focal seizures in the rat neocortex

Daisuke Takeshita and Sonya Bahar

Department of Physics and Astronomy and Center for Neurodynamics, University of Missouri at St. Louis, One University Blvd., St. Louis, Missouri 63121, USA

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(Received 4 March 2011; accepted 26 August 2011; published online 29 December 2011)

Seizures are often assumed to result from an excess of synchronized neural activity. However, various recent studies have suggested that this is not necessarily the case. We investigate synchronization during focal neocortical seizures induced by injection of 4-aminopyridine (4AP) in the rat neocortex in vivo. Neocortical activity is monitored by field potential recording and by the fluorescence of the voltage-sensitive dye RH-1691. After removal of artifacts, the voltage-sensitive dye (VSD) signal is analyzed using the nonlinear dynamics-based technique of stochastic phase synchronization in order to determine the degree of synchronization within the neocortex during the development and spread of each seizure event. Results show a large, statistically significant increase in synchronization during seizure activity. Synchrony is typically greater between closer pixel pairs during a seizure event; the entire seizure region is synchronized almost exactly in phase. This study represents, to our knowledge, the first application of synchronization analysis methods to mammalian VSD imaging in vivo. Our observations indicate a clear increase in synchronization in this model of focal neocortical seizures across a large area of the neocortex; a sharp increase in synchronization during seizure events was observed in all 37 seizures imaged. The results are consistent with a recent computational study which simulates the effect of 4AP in a neocortical neuron model.

© 2011 American Institute of Physics

Article Outline

  1. INTRODUCTION
  2. METHODS
    1. Surgery and staining
    2. Electrophysiology
    3. Drug administration
    4. Imaging
    5. Noise and artifact reduction
    6. Determination of seizure area
    7. Synchronization analysis
  3. RESULTS
    1. Field potential activity during seizures
    2. Change of seizure area over time
    3. Phase synchronization
    4. Phase maps
    5. Discussion

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KEYWORDS and PACS

Keywords

bioelectric potentials, biomedical optical imaging, brain, dyes, fluorescence, medical disorders, neurophysiology, synchronisation

PACS

  • 87.19.lh

    Optical imaging of neuronal activity

  • 87.19.lm

    Synchronization in the nervous system

  • 87.63.lg

    Principles of visualization

  • 87.19.R-

    Mechanical and electrical properties of tissues and organs

ARTICLE DATA

Digital Object Identifier
http://dx.doi.org/10.1063/1.3640043

PUBLICATION DATA

ISSN

1054-1500 (print)  
1089-7682 (online)

Publisher

$abstract.society.value is a Member of CrossRef American Institute of Physics

For access to fully linked references, you need to log in.
    Ben-Jacob, E., Boccaletti, S., Pomyalov, A., Procaccia, I., and Towle, V. L., “Detecting and localizing the foci in human epileptic seizures,” Chaos 17(4), 043113 (2007)CHAOEH000017000004043113000001.

    Eckhardt, B., Ott, E., Strogatz, S. H., Abrams, D. M., and McRobie, A., “Modeling walker synchronization on the Millennium Bridge,” Phys. Rev. E 75(2 Pt 1), 021110 (2007).

    Takeshita, D., Sato, Y. D., and Bahar, S., “Transitions between multistable states as a model of epileptic seizure dynamics,” Phys. Rev. E 75, 051925 (2007).

    Tass, P. A., Fieseler, T., Dammers, J., Dolan, K., Morosan, P., Majtanik, M., Boers, F., Muren, A., Zilles, K., and Fink, G. R., “Synchronization tomography: a method for three-dimensional localization of phase synchronized neuronal populations in the human brain using magnetoencephalography,” Phys. Rev. Lett. 90(8), 088101 (2003).


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