NIMBLE

Neuromagnetic Imaging: Multiobject Bayesian Localization and Estimation

Coordinatore	THE UNIVERSITY OF WARWICK    more  Organization address address: Kirby Corner Road - University House - city: COVENTRY postcode: CV4 8UW contact info Titolo: Dr. Nome: Peter Cognome: Hedges Email: send email Telefono: -48437 Fax: -49712
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	173˙403 €
EC contributo	173˙403 €
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-2009-IEF
Funding Scheme	MC-IEF
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-09-03   -   2012-09-02

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY OF WARWICK  Organization address address: Kirby Corner Road - University House - city: COVENTRY postcode: CV4 8UW contact info Titolo: Dr. Nome: Peter Cognome: Hedges Email: send email Telefono: -48437 Fax: -49712	UK (COVENTRY)	coordinator	173˙403.20

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 Obiettivo del progetto (Objective)

'Functional neuro-imaging is a lively field in contemporary science, with a large number of open research problems and many clinical applications including the non-invasive diagnosis and monitoring of brain conditions such as epilepsy, Alzheimer, Parkinson’s, and brain cancer. In this context, Magnetoencephalography is characterized by an outstanding temporal resolution, and is currently the best available technique for investigating the activity of different brain regions on a millisecond time scale. However, a key open problem for MEG data analysis is the lack of a robust framework for automatic source detection and parameter estimation using MEG data; these are in fact routinely analyzed using labour-intensive manual methods heavily relying on the expertise of the user. The NIMBLE project (Neuromagnetic Imaging: Multiobject Bayesian Localisation and Estimation) aims at developing novel Bayesian methodology for automatic source estimation from MEG data, based on stochastic geometry and point processes. The project is consistent with the research profile of the candidate, who has developed a significant experience with MEG and has obtained preliminary results on estimating MEG sources with Bayesian filtering. The Host Institution was selected by the Fellow in light of its rich research environment in neuroscience including, among others, a world-renowned expert in stochastic geometry and several young researchers with expertise in statistical modeling for neuroimaging, Bayesian inference and sequential Monte Carlo methods for Bayesian filtering. The NIMBLE project is highly multidisciplinary, involving the statistics of point processes, the modeling of neural sources and the efficient implementation of high-dimensional sequential Monte Carlo filters. Should the NIMBLE project be funded, it would contribute to strengthen the EU position in the strategic field of neuroimaging, where competition is currently strong with the United States and Japan.'