Neuromagnetic Imaging: Multiobject Bayesian Localization and Estimation

Project Information

NIMBLE

Grant agreement ID: 252440

Project closed

Start date 3 September 2010

End date 2 September 2012

Funded under

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Total cost € 173 403,20

EU contribution € 173 403,20

Coordinated by

UNIVERSITY OF WARWICK
United Kingdom

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.

Fields of science

• natural sciences › biological sciences › neurobiology
• natural sciences › computer and information sciences › data science
• natural sciences › mathematics › applied mathematics › statistics and probability › bayesian statistics
• natural sciences › computer and information sciences › computational science
• natural sciences › mathematics › pure mathematics › geometry

Programme(s)

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Topic(s)

• FP7-PEOPLE-2009-IEF - Marie Curie Action: "Intra-European Fellowships for Career Development"

Call for proposal

FP7-PEOPLE-2009-IEF
See other projects for this call

Funding Scheme

MC-IEF - Intra-European Fellowships (IEF)

Coordinator

UNIVERSITY OF WARWICK

Administrative Contact

Peter Hedges (Dr.)

• EU contribution: € 173 403,20
• Address: KIRBY CORNER ROAD UNIVERSITY HOUSE ; CV4 8UW COVENTRY ; United Kingdom
• Region: West Midlands (England) › West Midlands › Coventry
• Activity type: Higher or Secondary Education Establishments
• Total cost: No data