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Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders

Articolo
Data di Pubblicazione:
2021
Citazione:
Modeling Neurotransmission: Computational Tools to Investigate Neurological Disorders / Gandolfi, Daniela; Boiani, Giulia Maria; Bigiani, Albertino; Mapelli, Jonathan. - In: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES. - ISSN 1422-0067. - 22:9(2021), pp. 1-21. [10.3390/ijms22094565]
Abstract:
The investigation of synaptic functions remains one of the most fascinating challenges in the field of neuroscience and a large number of experimental methods have been tuned to dissect the mechanisms taking part in the neurotransmission process. Furthermore, the understanding of the insights of neurological disorders originating from alterations in neurotransmission often requires the development of (i) animal models of pathologies, (ii) invasive tools and (iii) targeted pharmacological approaches. In the last decades, additional tools to explore neurological diseases have been provided to the scientific community. A wide range of computational models in fact have been developed to explore the alterations of the mechanisms involved in neurotransmission following the emergence of neurological pathologies. Here, we review some of the advancements in the development of computational methods employed to investigate neuronal circuits with a particular focus on the application to the most diffuse neurological disorders.
Tipologia CRIS:
Articolo su rivista
Keywords:
Computational modeling; Disorders synaptic transmission; Neurological; Synaptic plasticity;
Elenco autori:
Gandolfi, Daniela; Boiani, Giulia Maria; Bigiani, Albertino; Mapelli, Jonathan
Autori di Ateneo:
BIGIANI Albertino
BOIANI GIULIA MARIA
GANDOLFI Daniela
MAPELLI Jonathan
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1244595
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1244595/350710/2021%20IJMS.pdf
Pubblicato in:
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Journal
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