SYNEURGY

Synergistic modeling of gene-brain couplings with applications in affective neuroscience

Coordinatore	LINKOPINGS UNIVERSITET    more  Organization address address: CAMPUS VALLA city: LINKOPING postcode: 581 83 contact info Titolo: Mrs. Nome: Avefeldt Cognome: Gunilla Email: send email Telefono: +46 13 281786
Nazionalità Coordinatore	Sweden [SE]
Totale costo	250˙483 €
EC contributo	250˙483 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2011-IOF
Funding Scheme	MC-IOF
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-07-01   -   2015-06-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	LINKOPINGS UNIVERSITET  Organization address address: CAMPUS VALLA city: LINKOPING postcode: 581 83 contact info Titolo: Mrs. Nome: Avefeldt Cognome: Gunilla Email: send email Telefono: +46 13 281786	SE (LINKOPING)	coordinator	87˙008.40
2	GOETEBORGS UNIVERSITET  Organization address address: VASAPARKEN city: GOETEBORG postcode: 405 30 contact info Titolo: Dr. Nome: Ellen Cognome: Rydberg Email: send email Telefono: +46 31 786 6470 Fax: +46 31 786 4355	SE (GOETEBORG)	participant	163˙474.80

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 Obiettivo del progetto (Objective)

'Exploiting cross-modal integration for enhanced power and sensitivity, the recently emerged field of imaging genomics is at the frontline of available tools for identifying genes which influence the neurobiology of human behavior and psychiatric illness. Computational approaches are not, however, up to par with the complexity of the disparate data: there is an urgent need for integrative predictive modeling to overcome the interdisciplinary fragmentation between genomics and neuroimaging to harvest the full potential of the data. The methodological objective of this project is therefore to develop and implement integrative cross-modal algorithms for synergistic modeling of human genetic effects on brain responses patterns. To this end, the project will use tools from machine learning which allow powerful, multivariate, generic, data-driven, general purpose predictive modeling. Application side, the project will target the neurobiology of affective behavior and disorders through modeling gene-brain correlates in a population of individuals carrying a mutation resulting in atypical sense of affective touch and insensitivity to pain. Employing a cross-modal, multi-disciplinary approach, integrating genomics, neuroimaging and engineering at the frontier of neuroscience research, the project enables holistic modeling of genetic correlates of human behavior and psychiatric conditions revealing new therapeutic avenues. The project embodies the work program by providing excellent international, multi-disciplinary, cross-modal academic training, establishing a solid yet dynamic basis for a prolific long-term scientific career for the Fellow. The project will increase the attractiveness of the ERA through promoting the world-leading Swedish neurobiology research and facilitate mutually beneficial relations with Singapore; moreover, the project will aid the ERA in benefiting from rather than competing with the growing science and technology investments in Asia.'