Transcript Neurocomputing & imaging

Project :
Neurocomputing & imaging
NEURoSENSE
Beyond the beautiful
(Y. Burnod, S.Baillet, M. Pessiglione,G. Marrelec, B. Thirion,
O. Coulon, M. Riesenhuber, C. Habeck)
Neurocomputing & imaging
NEURoSENSE: Beyond the beautiful
• Great achievements in neuroimaging have
benefited from basic methodology
– e.g., Talairach atlas, univariate statistics, etc.
• Challenge: augment the information content
while keeping salient results
• Database
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Ontology: multimodal/polyfeature data
Idea: shared representations, multiple points of view
Building blocks: Bridge multiple representations
Key issue: variability across individuals
Database
• Ontology
– Joint representation of multimodal/polyfeature data
• Morphology, locations, interactions, flows
• Idea: rather that combining data, work with shared
representations from multiple point of views on the brain
• Building blocks
– Bridge between multiple representations of brain
activity/morphoplogy
• (localization, size, amplitude of activity, dynamics, etc.)
• Key issue: deal with considerable variability across
individuals
• Key feature
– Isn’t complexity and variability only in the details?
Call for collaborators
• Neuroimagers
– To cover multimodal approaches (xMRI, MEG/EEG, optical, etc)
• Bridge with high-performance computing
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Databasing
Advanced visualization
Data mining
Optimization of processing pipelines
• Computational neuroscientists/modelers
– Converge on common representations of complex systems and
features
Functional/Anatomical networks
• Functional
– Modality related: fMRI, MEG/EEG, optical
– Related to dynamics:
• Phasic (stimulus-related, with diffusion processes)
• Tonic (ongoing, modes & networks)
• Anatomy
– Beyond coordinates: agree on elementary
structural features
– Same for connectivity