Neuronal data for D2-OE mouse model of schizophrenia according to Cazorla
et al., 2012. Digital reconstructions of the striatal neurons from
Hjorth et al., 2020 were adopted for the wild-type phenotype, see
directory morphology/control/
. Dendritic morphology of the striatal
projection neurons was reduced to mimic progressive neurodegeneration,
as in morphology/d2oe*/
for stages 0 through 20, using the Python
module treem
v1.1.0, DOI:
10.5281/zenodo.8265703.
The algorithm of the degeneration is described in Carannante et al.,
2024. Program code for morphology processing can be found in the
scripts/
directory.
The study was supported by the Swedish Research Council (VR-M-2020-01652), Swedish e-Science Research Centre (SeRC), Science for Life Lab, EU/Horizon 2020 no. 945539 (HBP SGA3) and No. 101147319 (EBRAINS 2.0 Project), European Union's Research and Innovation Program Horizon Europe under grant agreement No 101137289 (the Virtual Brain Twin Project), and KTH Digital Futures. Simulations were also performed on resources provided by the National Academic Infrastructure for Supercomputing in Sweden (NAISS) at PDC KTH partially funded by the Swedish Research Council through grant agreement no. 2022-06725.
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Cazorla M, Shegda M, Ramesh B, Harrison NL, Kellendonk C (2012) Striatal D2 receptors regulate dendritic morphology of medium spiny neurons via Kir2 channels. J Neurosci. 32(7):2398-409. DOI: 10.1523/JNEUROSCI.6056-11.2012.
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Hjorth JJJ, Kozlov A, Carannante I, Frost Nylén J, Lindroos R, Johansson Y, Tokarska A, Dorst MC, Suryanarayana SM, Silberberg G, Hellgren Kotaleski J, Grillner S (2020) The microcircuits of striatum in silico. Proc Natl Acad Sci U S A. 117(17):9554-9565. DOI: 10.1073/pnas.2000671117.
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Carannante I, Scolamiero M, Hjorth JJJ, Kozlov A, Bekkouche B, Guo L, Kumar A, Chacholski W, Hellgren Kotaleski J (2024) The impact of Parkinson's disease on striatal network connectivity and cortico-striatal drive: an in-silico study. Network Neuroscience. DOI: 10.1162/netn_a_00394.