This meeting aims to gather together scientists, researchers and clinicians who would like to learn the basic steps and latest advances of volume- and surface-based analysis of functional magnetic resonance imaging (fMRI) and diffusion-weighted MRI (dwMRI) data analysis using AFNI and SUMA. This 6-day intensive workshop will comprise plenary lectures on preprocessing and data analysis of fMRI data, including talks and hands-on sessions that are usually part of the AFNI Bootcamp (image registration and spatial transformations, signal denoising, statistical analyses with linear regression, deconvolution, thresholding and multiple comparison correction, group-level statistical analyses: ANOVA, LME, MEMA and Bayesian approaches, functional connectivity and real-time fMRI, among others), and seminars on basic and advanced principles of fMRI physics and experiment design.
The meeting also aims to serve as a forum for exchange and sharing of experiences in the analysis of fMRI and dwMRI data, not necessarily using AFNI and SUMA software. Participants are encouraged to submit a brief abstract of their work (not mandatory for registration). A collection of abstracts will be selected for quick presentation in power-pitch format (max. 5 min) to promote discussions and exchange of ideas across the participants.
