ArticleFrontiers in computational neuroscience2017
Striatal Network Models of Huntington's Disease Dysfunction Phenotypes.
Article in Frontiers in computational neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- Exploring potential developmental origins of common neurodegenerative disorders.Biochemical Society transactions · 2024Review
- Transcriptional and Histone Acetylation Changes Associated with CRE Elements Expose Key Factors Governing the Regulatory Circuit in the Early Stage of Huntington's Disease Models.International journal of molecular sciences · 2023Article
- Novel EAAT2 activators improve motor and cognitive impairment in a transgenic model of Huntington's disease.Frontiers in behavioral neuroscience · 2023Article
- Chemical interference with DSIF complex formation lowers synthesis of mutant huntingtin gene products and curtails mutant phenotypes.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Defective repair of topoisomerase I induced chromosomal damage in Huntington's disease.Cellular and molecular life sciences : CMLS · 2022Article
- Enriched Environment and Exercise Enhance Stem Cell Therapy for Stroke, Parkinson's Disease, and Huntington's Disease.Frontiers in cell and developmental biology · 2022Review
- Neuronal population models reveal specific linear conductance controllers sufficient to rescue preclinical disease phenotypes.iScience · 2021Article
- From Progenitors to Progeny: Shaping Striatal Circuit Development and Function.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- Review
- Striatal network modeling in Huntington's Disease.PLoS computational biology · 2020Article
- Differential changes to D1 and D2 medium spiny neurons in the 12-month-old Q175+/- mouse model of Huntington's Disease.PloS one · 2018Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a network model of striatum, which generates "winnerless" dynamics typical for a network of sparse, unidirectionally connected inhibitory units. We observe that these dynamics, while interesting and a good match to normal striatal electrophysiological recordings, are fragile. Specifically, we find that randomly initialized networks often show dynamics more resembling "winner-take-all," and relate this "unhealthy" model activity to dysfunctional physiological and anatomical phenotypes in the striatum of Huntington's disease animal models. We report plasticity as a potent mechanism to refine randomly initialized networks and create a healthy winnerless dynamic in our model, and we explore perturbations to a healthy network, modeled on changes observed in Huntington's disease, such as neuron cell death and increased bidirectional connectivity. We report the effect of these perturbations on the conversion risk of the network to an unhealthy state. Finally we discuss the relationship between structural and functional phenotypes observed at the level of simulated network dynamics as a promising means to model disease progression in different patient populations.
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