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Modelling Electrical Activity in Physiological Systems, 2012

Tutorial: Converting Between Plateau and Pseudo-Plateau Bursting Richard Bertram Department of Mathematics and Programs in Neuroscience and Molecular Biophysics Florida State University, Tallahassee, FL. Modelling Electrical Activity in Physiological Systems, 2012. Coworkers and Collaborators.

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Modelling Electrical Activity in Physiological Systems, 2012

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  1. Tutorial: Converting Between Plateau and Pseudo-Plateau BurstingRichard BertramDepartment of MathematicsandPrograms in Neuroscience and Molecular Biophysics Florida State University, Tallahassee, FL. Modelling Electrical Activity in Physiological Systems, 2012

  2. Coworkers and Collaborators Joël Tabak (FSU) Krasimira Tsaneva-Atanasova (Univ. Bristol) Wondimu Teka (FSU) Funding: NSF-DMS0917664 and NIH-DK043200

  3. Two Classes of Bursting Oscillations Plateau bursting Pseudo-plateau bursting Guinea pig trigeminal motoneuron (Del Negro et al., J. Neurophysiol., 81(4): 1478, 1999) S. S. Stojilkovic, Biol. Res.,  39(3): 403 , 2006

  4. These are Associated with Different Fast-Slow Bifurcation Structures Fast-slow analysis of plateau or square-wave bursting

  5. These are Associated with Different Fast-Slow Bifurcation Structures Fast-slow analysis of pseudo-plateau or pituitary bursting

  6. How Can Neuron-Like Plateau Bursting be Converted to Pituitary-Like Pseudo-Plateau Bursting? Published in Teka et al., Bull. Math. Biol., 73:1292, 2011

  7. The Chay-Keizer Model T. R. Chay and J. Keizer, Biophys. J., 42:181, 1983 This well-studied model was developed to describe plateau bursting in pancreatic β-cells, but it has also been used as a template for this type of bursting in other cells, such as neurons. We use a variation of this that includes a K(ATP) current and that has lower dimensionality.

  8. The Chay-Keizer Model V=voltage (mV) t= time (msec) n= fraction of open delayed rectifying K+ channels ICa = Ca2+ current IK = delayed rectifying K+ current IK(Ca) = Ca2 +-activated K+ current IK(ATP) = ATP-sensitive K+ current

  9. The Chay-Keizer Model: Ca2+ Dynamics c = free calcium concentration in the cytosol c activates the K(Ca) channels;

  10. Plateau Bursting with Standard Parameter Values c is the slow variable, turning spiking on and off as it varies The bursting can be analyzed by examining the subsystem of fast variables (V and n) with c treated as a parameter

  11. Moving From Plateau to Pseudo-Plateau 1. Make the slow variable, c , much faster. This results in short burst duration and the burst trajectory moves rapidly along the fast subsystem bifurcation structure. To get this, just increase fcyt . • Modify parameter values that change the upper part of the fast subsystem bifurcation structure. This requires changing • appropriate fast subsystem parameters.

  12. Make the Delayed Rectifier Activate at a Higher Voltage Increasing vn shifts the n curve to the right. Red = old curve Blue = new curve vn

  13. Bifurcation Structure for Pseudo-Plateau Bursting Achieved by Increasing vn vn increased from -20 mV to -12 mV, and c speeded up by increasing fcyt from 0.00025 to 0.0135.

  14. Bursting Types Depend on the Order of Bifurcations • c-values at the bifurcation points: • plateau bursting: • supHB < LSN < HM < USN • Transtion bursting: • LSN < subHB < HM < USN • Pseudo-plateau bursting: • LSN < HM < subHB < USN • By using a two-parameter bifurcation diagram, we can determine the parameter regions for these bursting patterns.

  15. Two-Parameter Bifurcation Structure: vn vs. c

  16. Two-Parameter Bifurcation Structure: vn vs. c

  17. Two-Parameter Bifurcation Structure: vn vs. c

  18. Other Approaches 2. Shift the Ca2+ activation curve leftward 3. Decrease the delayed rectifier channel conductance 4. Increase Ca2+ channel conductance In all four approaches, making the cell more excitable converts the plateau bursting to pseudo-plateau bursting.

  19. WhyDoes it Work? If one treats V as the sole fast variable and n and c as slow variables, then in the singular limit a folded node singularity is created. Teka et al., J. Math. Neurosci., 1:12, 2011

  20. Thank You!

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