Determinants of fast calcium dynamics in dendritic spines and dendrites (Cornelisse et al. 2007)

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Accession:97903
"... Calcium influx time course and calcium extrusion rate were both in the same range for spines and dendrites when fitted with a dynamic multi-compartment model that included calcium binding kinetics and diffusion. In a subsequent analysis we used this model to investigate which parameters are critical determinants in spine calcium dynamics. The model confirmed the experimental findings: a higher SVR (surface-to-volume ratio) is not sufficient by itself to explain the faster rise time kinetics in spines, but only when paired with a lower buffer capacity in spines. Simulations at zero calcium-dye conditions show that calmodulin is more efficiently activated in spines, which indicates that spine morphology and buffering conditions in neocortical spines favor synaptic plasticity. ..."
Reference:
1 . Cornelisse LN, van Elburg RA, Meredith RM, Yuste R, Mansvelder HD (2007) High speed two-photon imaging of calcium dynamics in dendritic spines: consequences for spine calcium kinetics and buffer capacity. PLoS One 2:e1073 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: CalC Calcium Calculator;
Model Concept(s): Calcium dynamics;
Implementer(s): van Elburg, Ronald A.J. [R.van.Elburg at ai.rug.nl];
Search NeuronDB for information about:  Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell;
%------------------------------------------------------------------------------------------
%
% Title: 	Calcium Signals in Small Structures
% Filename:	CaSignal_Exp8ASphere.par
% Author: 	Ronald van Elburg
% 
% Associated Paper:
% Cornelisse LN, van Elburg RAJ, Meredith RM, Yuste R, Mansvelder HD (2007) 
% High Speed Two-Photon Imaging of Calcium Dynamics in Dendritic Spines: 
% Consequences for Spine Calcium Kinetics and Buffer Capacity. 
% PLoS ONE 2(10): e1073 doi:10.1371/journal.pone.0001073
%
%
%
%
%------------------------------------------------------------------------------------------

Total_Dye                   = 	0

Structure			= Sphere_Structure% Make it a sphere
%

path = ".\"   		% If running under Windows, specify here the path to the
                           			% directory containing the script imported below
file = path "CaSignal_main.par"

include file               			% Import the simulation parameters from the main script


% Auxilary variables for monitoring concentrations at different distances from the membrane

	NoOfSteps = 6    % number of shells in the output (NOT IN THE SIMULATION, THERE THE GRIDSIZE DEFINES THE COMPARTMENTS)
	dR=R_Structure/NoOfSteps
	
	R1k=(NoOfSteps-0.5)*dR
	R2k=(NoOfSteps-1.5)*dR
	R3k=(NoOfSteps-2.5)*dR
	R4k=(NoOfSteps-3.5)*dR
	R5k=(NoOfSteps-4.5)*dR
	R6k=(NoOfSteps-5.5)*dR
	
	CaBoundary:=Ca[R_Source]
	Ca1 := Ca[R1k] ; Dye1 := Dye[R1k] 	; BndDye1 := Total_Dye-Dye[R1k] 	;EndoB1 := EndogenousBuffer	[R1k]
	Ca2 := Ca[R2k] ; Dye2 := Dye[R2k] 	; BndDye2 := Total_Dye-Dye[R2k] 	;EndoB2 := EndogenousBuffer	[R2k]
	Ca3 := Ca[R3k] ; Dye3 := Dye[R3k]  	; BndDye3 := Total_Dye-Dye[R3k]  	;EndoB3 := EndogenousBuffer	[R3k]
	Ca4 := Ca[R4k] ; Dye4 := Dye[R4k] 	; BndDye4 := Total_Dye-Dye[R4k] 	;EndoB4 := EndogenousBuffer	[R4k]
	Ca5 := Ca[R5k] ; Dye5 := Dye[R5k] 	; BndDye5 := Total_Dye-Dye[R5k] 	;EndoB5 := EndogenousBuffer	[R5k]
	Ca6 := Ca[R6k] ; Dye6 := Dye[R6k] 	; BndDye6 := Total_Dye-Dye[R6k] 	;EndoB6 := EndogenousBuffer	[R6k]
	CaAverage:=Ca[] ; DyeAverage:=Dye[] ; BndDyeAverage:=Total_Dye-Dye[] 	;EndoBAverage := EndogenousBuffer	[]

	
% Exporting the variables defined above to file
	Exp='B8A'
	
	
	plot point.mute  CaBoundary "Output\Exp""Exp""\CSE""Exp""S_CaBoundary"
	plot point.mute  Ca1 "Output\Exp""Exp""\CSE""Exp""S_Ca1"
	plot point.mute  Ca2 "Output\Exp""Exp""\CSE""Exp""S_Ca2"
	plot point.mute  Ca3 "Output\Exp""Exp""\CSE""Exp""S_Ca3"
	plot point.mute  Ca4 "Output\Exp""Exp""\CSE""Exp""S_Ca4"
	plot point.mute  Ca5 "Output\Exp""Exp""\CSE""Exp""S_Ca5"
	plot point.mute  Ca6 "Output\Exp""Exp""\CSE""Exp""S_Ca6"
	plot point.mute  CaAverage "Output\Exp""Exp""\CSE""Exp""S_CaAverage"
	
	plot point.mute  Dye1 "Output\Exp""Exp""\CSE""Exp""S_Dye1"
	plot point.mute  Dye2 "Output\Exp""Exp""\CSE""Exp""S_Dye2"
	plot point.mute  Dye3 "Output\Exp""Exp""\CSE""Exp""S_Dye3"
	plot point.mute  Dye4 "Output\Exp""Exp""\CSE""Exp""S_Dye4"
	plot point.mute  Dye5 "Output\Exp""Exp""\CSE""Exp""S_Dye5"
	plot point.mute  Dye6 "Output\Exp""Exp""\CSE""Exp""S_Dye6"
	plot point.mute  DyeAverage "Output\Exp""Exp""\CSE""Exp""S_DyeAverage"
		
	plot point.mute  BndDye1 "Output\Exp""Exp""\CSE""Exp""S_BndDye1"
	plot point.mute  BndDye2 "Output\Exp""Exp""\CSE""Exp""S_BndDye2"
	plot point.mute  BndDye3 "Output\Exp""Exp""\CSE""Exp""S_BndDye3"
	plot point.mute  BndDye4 "Output\Exp""Exp""\CSE""Exp""S_BndDye4"
	plot point.mute  BndDye5 "Output\Exp""Exp""\CSE""Exp""S_BndDye5"
	plot point.mute  BndDye6 "Output\Exp""Exp""\CSE""Exp""S_BndDye6"
	plot point.mute  BndDyeAverage "Output\Exp""Exp""\CSE""Exp""S_BndDyeAverage"

	plot point.mute  EndoB1 "Output\Exp""Exp""\CSE""Exp""S_EndoB1"
	plot point.mute  EndoB2 "Output\Exp""Exp""\CSE""Exp""S_EndoB2"
	plot point.mute  EndoB3 "Output\Exp""Exp""\CSE""Exp""S_EndoB3"
	plot point.mute  EndoB4 "Output\Exp""Exp""\CSE""Exp""S_EndoB4"
	plot point.mute  EndoB5 "Output\Exp""Exp""\CSE""Exp""S_EndoB5"
	plot point.mute  EndoB6 "Output\Exp""Exp""\CSE""Exp""S_EndoB6"
	plot point.mute  EndoBAverage "Output\Exp""Exp""\CSE""Exp""S_EndoBAverage"
	
	plot point.mute CalciumCurrent "Output\Exp""Exp""\CSE""Exp""S_CalciumCurrent"
	


% The adaptive integration method fails for the fast calcium change
% to overcome this problem we run the first 20 ms with a fixed timestep 
% of 0.001 ms, then after the fast changes we switch to the adaptive method 
% for optimal performance.

Run  20.0  1.0e-3 ; current CalciumCurrent

Run  adaptive 480.0  1.0e-3 accuracy; current CalciumCurrent


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