Objective
Conduct Disorder (CD) is the key paediatric disorder characterized by severe aggression. It is heterogeneous, and our understanding of the neurobiology to subtype aggression is limited. MATRICS is a multidisciplinary consortium of academic partners and SMEs that focuses on the subtyping of aggression both within CD and of the broader cross-disorder trait of aggression. MATRICS will test the hypothesis that reactive and instrumental aggression result from aberrant autonomic reactivity coupled to the differential impairment of three basic neural functions: 1) regulation of control mechanisms of aggression, 2) emotional value rating of others, and 3) empathy and moral decision making. MATRICS will employ the same psychological tasks assessing 1), 2) and 3) in animal aggression models and human CD samples concurrent with the assessment of neural, neurochemical, (epi)-genetic and autonomic nervous system markers. These data will be integrated with matching expression profiling from neurons derived from CD IPSCs. MATRICS also examines how environmental risks, whether or not they interact with genetic factors, are translated in epigenetic and neural changes. MATRICS will data-mine existing large integrated imaging-genetics cohorts (NeuroIMAGE; IMAGEN) and prospective cohorts (TRAILS; ALSPAC) with follow-up into adulthood and the (epi)genetic profiling of the PERS CD cohort, and collect a large new CD cohort and controls for collection of MRI, (epi)-genetic, biochemical and environmental measures. Bayesian machine learning tools will integrate multi-source and multi-level data, and generate predictive algorithms of persistent aggression into adulthood. MATRICS will identify new potentially ‘druggable’ targets, develop novel animal models and conduct pilot medication and neuro/biofeedback studies in high-risk and CD patients. MATRICS builds on existing fruitful EU collaborations which maximises feasibility and successful output.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences biological sciences neurobiology
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs
- natural sciences computer and information sciences artificial intelligence machine learning
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Programme(s)
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Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-HEALTH-2013-INNOVATION-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
6525 XZ Nijmegen
Netherlands
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Participants (19)
1015 LAUSANNE
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00161 Roma
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69007 Lyon
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WC2R 2LS London
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68159 Mannheim
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Participation ended
DD1 4HN Dundee
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9713 GZ Groningen
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EX4 4QJ Exeter
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09124 CAGLIARI
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98693 Ilmenau
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89081 Ulm
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34000 Montpellier
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10117 BERLIN
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82256 Furstenfeldbruck
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08036 Barcelona
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28046 MADRID
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LE12 7TJ LOUGHBOROUGH
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6525 EC NIJMEGEN
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56118 Pisa
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