Objectif
Alcohol addiction ranks among the primary global causes of preventable death and disabilities in human population, but treatment options are very limited. Rational strategies for design and development of novel, evidence based therapies for alcohol addiction are still missing. Within this project, we will utilize a translational approach based on clinical studies and animal experiments to fill this gap. We will provide a novel discovery strategy based on systems biology concepts that uses mathematical and network theoretical models to identify brain sites and functional networks that can be targeted specifically by therapeutic interventions. To build predictive models of the ‘relapse-prone’ state of brain networks we will use magnetic resonance imaging and neurochemical data from patients and laboratory animals. The mathematical models will be rigorously tested through experimental procedures aimed to guide network dynamics towards increased resilience. We expect to identify hubs that promote ‘relapse-proneness’ and to predict how aberrant network states could be normalized. Proof of concept experiments in animal will need to demonstrate this possibility by showing directed remodeling of functional brain networks by targeted interventions prescribed by the theoretical framework. Thus, our translational goal will be achieved by a theoretical and experimental framework for making predictions based on fMRI and mathematical modeling, which is verified in animals, and which can be transferred to humans. To achieve this goal we have assembled an interdisciplinary consortium (eight European countries) of world-class expertise in all complementary skills required for the project. If successful this project will positively impact on the development of new therapies for a disorder with largely unmet clinical needs, and thus help to address a serious and widespread health problem in our societies.
Champ scientifique
- medical and health sciencesbasic medicinepharmacology and pharmacypharmaceutical drugs
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health scienceshealth sciencespersonalized medicine
- natural scienceschemical sciencesorganic chemistryalcohols
- engineering and technologymedical engineeringdiagnostic imagingmagnetic resonance imaging
Programme(s)
Régime de financement
RIA - Research and Innovation actionCoordinateur
68159 Mannheim
Allemagne
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Participants (15)
BN1 9RH Brighton
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581 83 Linkoping
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84105 Beer Sheva
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39106 Magdeburg
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400504 Cluj-Napoca
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CB2 1TN Cambridge
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16163 Genova
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28006 Madrid
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00014 Helsingin Yliopisto
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Participation terminée
10589 Berlin
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Entité juridique autre qu’un sous-traitant qui est affiliée ou juridiquement liée à un participant. L’entité réalise des travaux dans les conditions prévues par la convention de subvention, fournit des biens ou des services pour l’action, mais n’a pas signé la convention de subvention. Le tiers respecte les règles applicables au participant qui lui est lié dans le cadre de la convention de subvention en ce qui concerne l’éligibilité des coûts et le contrôle des dépenses.
Participation terminée
10589 Berlin
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9777518 JERUSALEM
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80539 Munchen
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2311 EZ Leiden
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400191 Cluj Napoca
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