The impact of Parkinson’s disease on striatal network connectivity and cortico-striatal drive: an in-silico study
The impact of Parkinson’s disease on striatal network connectivity and cortico-striatal drive: an in-silico study
ABSTRACT Striatum, the input stage of the basal ganglia, is important for sensory-motor integration, initiation and selection of behaviour, as well as reward learning. Striatum receives glutamatergic inputs from mainly cortex and thalamus. In rodents, the striatal projection neurons (SPNs), giving rise to the direct and the indirect pathway (dSPNs and iSPNs, respectively), account for 95% of the neurons and the remaining 5% are GABAergic and cholinergic interneurons. Interneuron axon terminals as well as local dSPN and iSPN axon collaterals form an intricate striatal network. Following chronic dopamine depletion as in Parkinson’s disease (PD), both morphological and electrophysiological striatal neuronal features have been shown to be altered in rodent models. Our goal with this in-silico study is twofold: a) to predict and quantify how the intrastriatal network connectivity structure becomes altered as a consequence of the morphological changes reported at the single neuron level, and b) to investigate how the effective glutamatergic drive to the SPNs would need to be altered to account for the activity level seen in SPNs during PD. In summary we predict that the richness of the connectivity motifs in the striatal network is significantly decreased during PD, while at the same time a substantial enhancement of the effective glutamatergic drive to striatum is present. AUTHOR SUMMARYThis in-silico study predicts the impact that the single cell neuronal morphological alterations will have on the striatal microcircuit connectivity. We find that the richness in the topological striatal motifs is significantly reduced in Parkinson’s disease, highlighting that just measuring the pairwise connectivity between neurons gives an incomplete description of network connectivity. Moreover, we predict how the resulting electrophysiological changes of SPN excitability together with their reduced number of dendritic branches affect their response to the glutamatergic drive from cortex and thalamus. We find that the effective glutamatergic drive is likely significantly increased in PD, in accordance with the hyperglutamatergic hypothesis.
Hjorth J. J. Johannes、Kozlov Alexander、Bekkouche Bo、Guo Lihao、Chach¨?lski Wojciech、Kumar Arvind、Scolamiero Martina、Hellgren Kotaleski Jeanette、Carannante Ilaria
Department of Computer Science, KTH Royal Institute of TechnologyDepartment of Computer Science, KTH Royal Institute of Technology||Department of Neuroscience, Karolinska InstitutetDepartment of Computer Science, KTH Royal Institute of TechnologyDepartment of Computer Science, KTH Royal Institute of TechnologyDepartment of Mathematics, KTH Royal Institute of TechnologyDepartment of Computer Science, KTH Royal Institute of TechnologyDepartment of Mathematics, KTH Royal Institute of TechnologyDepartment of Computer Science, KTH Royal Institute of Technology||Department of Neuroscience, Karolinska InstitutetDepartment of Computer Science, KTH Royal Institute of Technology
神经病学、精神病学基础医学生理学
Parkinson’s diseaseStriatumComputational modelingTopological data analysisDirected cliquesNetwork higher order connectivityNeuronal degeneration model
Hjorth J. J. Johannes,Kozlov Alexander,Bekkouche Bo,Guo Lihao,Chach¨?lski Wojciech,Kumar Arvind,Scolamiero Martina,Hellgren Kotaleski Jeanette,Carannante Ilaria.The impact of Parkinson’s disease on striatal network connectivity and cortico-striatal drive: an in-silico study[EB/OL].(2025-03-28)[2025-05-05].https://www.biorxiv.org/content/10.1101/2023.09.15.557977.点此复制
评论