Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Understand

Group studies involving large cohorts of subjects are important to draw general conclusions about brain functional organization.

• However, the aggregation of data coming from multiple subjects is challenging, since it requires accounting for large variability in anatomy, functional topography and stimulus response across individuals.
• Data modeling is especially hard for ecologically relevant conditions such as movie watching, where the experimental setup does not imply well-defined cognitive operations.
• We propose a novel MultiView Independent Component Analysis (ICA) model for group studies, where data from each subject are modeled as a linear combination of shared independent sources plus noise.