Spinal Dorsal Horn Network Model (Medlock et al 2022)

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To explore spinal dorsal horn (SDH) network function, we developed a computational model of the circuit that is tightly constrained by experimental data. Our model comprises conductance-based model neurons that reproduce the characteristic firing patterns of excitatory and inhibitory spinal neurons. Excitatory spinal neuron subtypes defined by calretinin, somatostatin, delta-opioid receptor, protein kinase C gamma, or vesicular glutamate transporter 3 expression or by transient/central spiking/morphology and inhibitory neuron subtypes defined by parvalbumin or dynorphin expression or by islet morphology were synaptically connected according to available qualitative data. Synaptic weights were adjusted to produce firing in projection neurons, defined by neurokinin-1 expression, matching experimentally measured responses to a range of mechanical stimulus intensities. Input to the circuit was provided by three types of afferents (Aß, Ad, and C-fibres) whose firing rates were also matched to experimental data.
1 . Medlock L, Sekiguchi K, Hong S, Dura-Bernal S, Lytton WW, Prescott SA (2022) Multiscale computer model of the spinal dorsal horn reveals changes in network processing associated with chronic pain The Journal of Neuroscience [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Spinal cord lamina I neuron; Spinal cord lamina I-III interneuron;
Gap Junctions:
Simulation Environment: NetPyNE; NEURON;
Model Concept(s): Sensory processing; Pain processing;
Implementer(s): Medlock, Laura [laura.medlock at mail.utoronto.ca]; Sekiguchi, Kazutaka [kazutaka.sekiguchi at shionogi.co.jp];
# Simulation of SDH Network Model

To simulate the Spinal Dorsal Horn Network Model:

1. Install python3 (from https://www.python.org/downloads/)

Then open the terminal (for Macs) and run the following commands:
2. Install NEURON and NetPyNE:
>> pip3 install neuron
>> pip3 install netpyne

3. Change to the directory containing SDH model files.
>> cd ~/Downloads/SDHmodel

4. Compile the mod files:
>> nrnivmodl mods

5. Run the script to initialize the model:
>> nrniv -python init_mechanical.py

Running the model scripts (Step 5) can also be done in the interative Python (IPython) shell:
>> ipython
>> run init_mechanical.py

6. Data and figures will save to SDHmodel/data directory

The output of this code reproduces the raster plot (Fig. 3A) and synaptic connectivity matrix (Fig. 3D) from Sekiguchi et al. (2021).

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