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Methods & models for fMRI data analysis – HS 2013 David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan.

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Presentation on theme: "Methods & models for fMRI data analysis – HS 2013 David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan."— Presentation transcript:

1 Methods & models for fMRI data analysis – HS 2013 David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan

2 Room: ETZ F91 Time: Fri, 12:00 – 13:30 Schedule: 27.09.: BOLD neurophysiology (Jakob Heinzle) 04.10.: Spatial preprocessing of fMRI images (David Cole) 11.10.: The General Linear Model for fMRI analyses (K.E. Stephan) 18.10.: Classical (frequentist) inference (NN) 25.10.: Multiple comparison correction (K.E. Stephan) 01.11.: Experimental design (Sandra Iglesias) 08.11.: Event-related fMRI and design efficiency (K.E. Stephan) 15.11.: Variational Bayes & Bayesian model selection (Sudhir Shankar Raman) 22.11.: Computational Neuroimaging (Andreea Diaconescu) 29.11.: Multivariate models for fMRI (K.E. Stephan) 06.12.: Basics of Dynamic Causal Modelling (Sudhir Shankar Raman) 13.12.: Practical session on DCM (K.E. Stephan) 20.12.: Advanced aspects of Dynamic Causal Modelling (K.E. Stephan) Methods & models for fMRI data analysis

3 FAQs slides on TNU website: www.translationalneuromodeling.org 3 credit points attendance requirements: 11/13 presentations exam: –10.01.2014, 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 (sprincz@biomed.ee.ethz.ch).

4 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

5 SPM8 the history the program the spirit

6 SPM documentation peer reviewed literature SPM course notes, SPM book & SPM manual online help & function descriptions algorithm descriptions, code annotations, pseudo-code

7 SPM online bibliography http://www.fil.ion.ucl.ac.uk/spm/

8 SPM web site Introduction to SPM SPM distribution: SPM99, SPM2, SPM5, SPM8 Documentation & Bibliography SPM email discussion list SPM short course Example data sets SPM extensions Introduction to SPM SPM distribution: SPM99, SPM2, SPM5, SPM8 Documentation & Bibliography SPM email discussion list SPM short course Example data sets SPM extensions http://www.fil.ion.ucl.ac.uk/spm/

9 spm@jiscmail.ac.uk –Web home page http://www.fil.ion.ucl.ac.uk/spm/support/ Archives, archive searches, membership lists, instructions –Subscribe http://www.jiscmail.ac.uk/ email jiscmail@jiscmail.ac.uk –join spm Firstname Lastname –Participate & learn email spm@jiscmail.ac.uk Monitored by SPMauthors Usage queries, theoretical discussions, bug reports, patches, techniques, &c… spm@jiscmail.ac.uk –Web home page http://www.fil.ion.ucl.ac.uk/spm/support/ Archives, archive searches, membership lists, instructions –Subscribe http://www.jiscmail.ac.uk/ email jiscmail@jiscmail.ac.uk –join spm Firstname Lastname –Participate & learn email spm@jiscmail.ac.uk Monitored by SPMauthors Usage queries, theoretical discussions, bug reports, patches, techniques, &c… spm@jiscmail.ac.uk http://www.fil.ion.ucl.ac.uk/spm/support/ SPM email list


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