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A0688
Title: Inference on multi-level brain connectivities based on fMRI data Authors:  Yumou Qiu - Iowa State University (United States) [presenting]
Abstract: The brain functional network models coherent activities between different brain regions, which plays an important role in our cognition and behavior. We propose a hierarchical model on partial correlations to study the brain functional interactivity based on multi-subject functional magnetic resonance imaging (fMRI) data. Multiple testing procedures adaptive to time dependent data with false discovery proportion control are proposed to identify both the population and subject specific brain connectivities. A computationally feasible algorithm is developed. Theoretical results and simulation studies demonstrate the good properties of the proposed procedures. A real example on fMRI data from normal healthy persons and patients with Parkinson's disease shows that several brain connections are missing in Parkinson patients.