Striatal NN model of MSNs and FSIs investigated effects of dopamine depletion (Damodaran et al 2015)

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Accession:169984
This study investigates the mechanisms that are affected in the striatal network after dopamine depletion and identifies potential therapeutic targets to restore normal activity.
Reference:
1 . Damodaran S, Cressman JR, Jedrzejewski-Szmek Z, Blackwell KT (2015) Desynchronization of Fast-Spiking Interneurons Reduces beta-Band Oscillations and Imbalance in Firing in the Dopamine-Depleted Striatum. J Neurosci 35:1149-59 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network; Neuron or other electrically excitable cell; Axon; Dendrite;
Brain Region(s)/Organism:
Cell Type(s): Neostriatum spiny direct pathway neuron; Neostriatum spiny indirect pathway neuron; Neostriatum fast spiking interneuron;
Channel(s): I Sodium; I Potassium; Kir;
Gap Junctions: Gap junctions;
Receptor(s): D1; D2; GabaA; Glutamate;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: GENESIS;
Model Concept(s): Synchronization; Detailed Neuronal Models; Parkinson's;
Implementer(s): Damodaran, Sriraman [dsriraman at gmail.com];
Search NeuronDB for information about:  Neostriatum spiny direct pathway neuron; Neostriatum spiny indirect pathway neuron; D1; D2; GabaA; Glutamate; I Sodium; I Potassium; Kir; Gaba; Glutamate;
This is the README for the GENESIS model associated with the paper:

Damodaran S, Cressman JR, Jedrzejewski-Szmek Z, Blackwell KT (2015)
Desynchronization of Fast-Spiking Interneurons Reduces beta-Band
Oscillations and Imbalance in Firing in the Dopamine-Depleted
Striatum. J Neurosci 35:1149-59

This model was contributed by S Damodaran.

To run the simulations type SimNet in genesis command prompt. To run
in batch mode run the Cntl.bat file or type: 
genesis -nox -notty -batch SimNet >> Name.log

Important files:

1. Top level file: SimNet.g
This file calls net.g and the appropriate graphics functions

2. net.g
This file calls the functions that connect both the SP-SP network and
the extrinsic network of cortical and FS inputs

3. net_conn.g
This file contains the function that connects the SP-SP network

4. InputFromFile.g
This file has the functions that read and connect the MATLAB generated
input trains (cortical and FS) to the SP network
NOTE: The files are generated in MATLAB with the ASSUMPTION that we
are hooking up every single input in the network. So at a minimum we
must have enough inputs for the synapses described in the nsynapses
file.

Simulations

The default condition is the control condition. In order to change
between the different conditions:

1. Dopamine Depletion: Replace the MScell folder with the MScell
folder in the No_DA folder.
Replace netconn.g and Net_parameters.g files with netconn.g and
Net_parameters.g files from the No_DA folder.
2. Dopamine Depletion + No Gap junctions: After having it in the
Dopamine Depletion condition replace the FScell folder with the FScell
folder from the NoDA_NoG folder.
3. To change the input correlation go to Net_parameters.g and change
float percDup_SP and percDup_FS to the appropriate value.

4. To run the cases where contribution of the different circuits and
cellular properties are tested:

	(i) Only FS or Only SP changes: Replace netconn.g of control
        condition with netconn.g from OnlyFS or OnlySP folder
        (ii) Only cell: Replace MScell folder of control condition
        with MScell folder from NoDA condition