Summary
Neurodegeneration, such as Alzheimer’s disease, currently affects 15 million people in the US with a death rate of 29.5% among 65+ years old and produces a cost around 200 billion dollars per annum. These type of pathologies are caused by neuronal communication failures in multi-scales of the cortical microcolumns. Neuroscience has historically provided theories and experiments to explain the signal propagation and neurodegeneration inside cortical microcolumns, but these behaviours are far from being fully explained. The newly formed research area of molecular communications can bring light to this challenge by using information and communication theory in this scenario. A novel interdisciplinary methodology (multi-scale modelling + neurological modelling + information theory) can analyze and quantify the dynamics in the synaptic plasticity and provide further understanding about cortical microcolumns. With this approach, STOICISM project aims to i) model the multi-scale cortical microcolumn neurology; ii) model and quantify the neuronal communication; iii) investigate the long-term plasticity dynamics and control strategies. STOICISM will develop a complete in-silico model of the 2mm cortical microcolumn that will account for its multi-scale communication. The synaptic plasticity variation will be modelled as a stochastic model based on in-vitro experimentation of the neuron-astrocyte communication. This action requires the researcher to move to a world-center in computational biophysics, such as BioMediTech, where he can get appropriate training, perform biological experiments and collaborate with other top researchers while being supervised by the renowned leading academic Prof. Jari Hyttinen. STOICISM will change the way we understand the effects of neurodegeneration which will enable future non-invasive detection and drug discovery, potentially creating a longer-term impact on the ageing society.
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| Web resources: | https://cordis.europa.eu/project/id/839553 |
| Start date: | 02-09-2019 |
| End date: | 01-09-2022 |
| Total budget - Public funding: | 202 680,96 Euro - 202 680,00 Euro |
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Original description
Neurodegeneration, such as Alzheimer’s disease, currently affects 15 million people in the US with a death rate of 29.5% among 65+ years old and produces a cost around 200 billion dollars per annum. These type of pathologies are caused by neuronal communication failures in multi-scales of the cortical microcolumns. Neuroscience has historically provided theories and experiments to explain the signal propagation and neurodegeneration inside cortical microcolumns, but these behaviours are far from being fully explained. The newly formed research area of molecular communications can bring light to this challenge by using information and communication theory in this scenario. A novel interdisciplinary methodology (multi-scale modelling + neurological modelling + information theory) can analyze and quantify the dynamics in the synaptic plasticity and provide further understanding about cortical microcolumns. With this approach, STOICISM project aims to i) model the multi-scale cortical microcolumn neurology; ii) model and quantify the neuronal communication; iii) investigate the long-term plasticity dynamics and control strategies. STOICISM will develop a complete in-silico model of the 2mm cortical microcolumn that will account for its multi-scale communication. The synaptic plasticity variation will be modelled as a stochastic model based on in-vitro experimentation of the neuron-astrocyte communication. This action requires the researcher to move to a world-center in computational biophysics, such as BioMediTech, where he can get appropriate training, perform biological experiments and collaborate with other top researchers while being supervised by the renowned leading academic Prof. Jari Hyttinen. STOICISM will change the way we understand the effects of neurodegeneration which will enable future non-invasive detection and drug discovery, potentially creating a longer-term impact on the ageing society.Status
CLOSEDCall topic
MSCA-IF-2018Update Date
28-04-2024
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