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CA1 pyramidal neuron: dendritic Ca2+ inhibition (Muellner et al. 2015)

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Accession:206244
In our experimental study, we combined paired patch-clamp recordings and two-photon Ca2+ imaging to quantify inhibition exerted by individual GABAergic contacts on hippocampal pyramidal cell dendrites. We observed that Ca2+ transients from back-propagating action potentials were significantly reduced during simultaneous activation of individual nearby GABAergic synapses. To simulate dendritic Ca2+ inhibition by individual GABAergic synapses, we employed a multi-compartmental CA1 pyramidal cell model with detailed morphology, voltage-gated channel distributions, and calcium dynamics, based with modifications on the model of Poirazi et al., 2003, modelDB accession # 20212.
Reference:
1 . Müllner FE, Wierenga CJ, Bonhoeffer T (2015) Precision of Inhibition: Dendritic Inhibition by Individual GABAergic Synapses on Hippocampal Pyramidal Cells Is Confined in Space and Time. Neuron 87:576-89 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism: Hippocampus;
Cell Type(s): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Calcium; I Sodium; I Potassium; I h;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: NEURON;
Model Concept(s): Action Potentials; Dendritic Action Potentials; Active Dendrites; Calcium dynamics;
Implementer(s): Muellner, Fiona E [fiona.muellner at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; I h; I Sodium; I Calcium; I Potassium; Gaba;
% Plot conductance dependence of simulated Ca2+-inhibition
% ---
% Fiona Müllner, MPI Neurobiology
% Email: fiona.muellner at gmail.com

clearvars -except rootfolder
cd(sprintf('%s\\CA1_multi\\experiment\\regular',rootfolder))
load('Branch type.mat')
list=dir('simulationRes*');
figure
for i=1:size(list,1)
    clearvars -except list i tag rootfolder
    load(list(i,1).name); 
    
    posv1=posv;
    distv1 = [distv(1:n/2)',distv(1:n/2)'];
    fbp=find(branchid(1:n/2-1)>1,1,'first')+1;
    if isempty(fbp)
        chan=n/2+1:n;
    else
        chan=n/2+1:n/2+fbp-1;
    end
    dist = distv1(chan);
    [~,s]=sort(dist);
    pos1=1; 
    yvect = dist(s)-posv1(pos1);
    
    mv=zeros(length(condv),1);
    for cond1=1:length(condv)
        time=1:length(timev);
        temp=1-squeeze(M(pos1,cond1,time,chan(s))./M(pos1,1,time,chan(s)));
        [mv(cond1,1),mp]=max(temp(:));
        [ix,iy] = ind2sub(size(temp),mp);
    end
    if exist('tag','var')
        ho = plot(condv*1000,mv'*100,'-','color',[0.5*tag(i) 1-0.5*tag(i) 0.5]);
    else
        ho = plot(condv*1000,mv'*100,'-');
    end
    
    hold all

end
xlabel('Conductance [nS]')
ylabel('% Inhibition')


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