Felice Lamberti (University of Bologna)
will speak on
A Bayesian framework for neuroimaging meta-analysis
Time: 3:00PM
Date: Thu 2nd April 2026
Location: E0.32 (beside Pi restaurant)
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Abstract: Neuroimaging meta-analysis has historically focused on the development of coordinate-based methods, as statistical parametric maps were often unavailable and studies typically reported only the coordi nates of activation foci. As a consequence, meta-analysis combining re ported peak coordinates and image-based information remains largely unexplored. In this work, we develop a Bayesian model for the joint analysis of coordinate-based meta-analysis (CBMA) and image-based meta-analysis (IBMA) data. Activation foci are modeled as realizations of a doubly stochastic Poisson process, while image data are treated as noisy observations of an underlying smooth spatial function. Parsimony in the number of parameters is achieved by introducing a sparse latent factor structure. Using simulated data, we evaluate the proposed model in terms of its ability to accurately estimate the underlying activations.
(This talk is part of the Working Group on Statistical Learning series.)
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