by Dr. Peter Zeidman, University College London, UK

When: September 27, 2024, at 3:00 pm

Where: Sala Seminari VIMM (Fondazione per la Ricerca Biomedica Avanzata Onlus, Via Orus 2, Padova)

Abstract: In this talk, I will introduce methods for identifying the neural and vascular physiology that gives rise to non-invasive human neuroimaging data (e.g. MRI, fMRI, fNIRS, M/EEG). These methods enable us to go beyond simply describing our data, and test hypotheses about underlying neural and vascular mechanisms that cause the data. The key ingredients are Bayesian statistical methods, which enable us to quantify the evidence for competing explanations for how our data were generated. In particular, using worked examples from clinical and cognitive neuroscience, I will highlight 1) a Bayesian approach for statistical parametric mapping of fMRI data and Voxel Based Morphometry (VBM), and 2) state-space models of neural connectivity and vascular dynamics. All the methods I will describe are freely available in the SPM software package, among others.