Methods & models for fMRI data analysis – HS 2013 David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan
Room: ETZ F91 Time: Fri, 12:00 – 13:30 Schedule: : BOLD neurophysiology (Jakob Heinzle) : Spatial preprocessing of fMRI images (David Cole) : The General Linear Model for fMRI analyses (K.E. Stephan) : Classical (frequentist) inference (NN) : Multiple comparison correction (K.E. Stephan) : Experimental design (Sandra Iglesias) : Event-related fMRI and design efficiency (K.E. Stephan) : Variational Bayes & Bayesian model selection (Sudhir Shankar Raman) : Computational Neuroimaging (Andreea Diaconescu) : Multivariate models for fMRI (K.E. Stephan) : Basics of Dynamic Causal Modelling (Sudhir Shankar Raman) : Practical session on DCM (K.E. Stephan) : Advanced aspects of Dynamic Causal Modelling (K.E. Stephan) Methods & models for fMRI data analysis
FAQs slides on TNU website: 3 credit points attendance requirements: 11/13 presentations exam: – , 12:00-13:30 –36 multiple choice questions (18 correct answers required for passing), 90 minutes duration For all administrative issues, please contact Silvia Princz
Statistical Parametric Mapping (SPM) RealignmentSmoothing Normalisation General linear model Statistical parametric map (SPM) Image time-series Parameter estimates Design matrix Template Kernel Gaussian field theory p <0.05 Statisticalinference
SPM8 the history the program the spirit
SPM documentation peer reviewed literature SPM course notes, SPM book & SPM manual online help & function descriptions algorithm descriptions, code annotations, pseudo-code
SPM online bibliography
SPM web site Introduction to SPM SPM distribution: SPM99, SPM2, SPM5, SPM8 Documentation & Bibliography SPM discussion list SPM short course Example data sets SPM extensions Introduction to SPM SPM distribution: SPM99, SPM2, SPM5, SPM8 Documentation & Bibliography SPM discussion list SPM short course Example data sets SPM extensions
–Web home page Archives, archive searches, membership lists, instructions –Subscribe –join spm Firstname Lastname –Participate & learn Monitored by SPMauthors Usage queries, theoretical discussions, bug reports, patches, techniques, &c… –Web home page Archives, archive searches, membership lists, instructions –Subscribe –join spm Firstname Lastname –Participate & learn Monitored by SPMauthors Usage queries, theoretical discussions, bug reports, patches, techniques, &c… SPM list