methods & models for fmri data analysis –hs 2014 · methods & models for fmri data...

Methods & models for fMRI data analysis – HS 2014

Justin ChumbleyAndreea DiaconescuJakob HeinzleSandra Iglesias

Lars KasperFrederike PetzschnerSudhir Shankar RamanKlaas Enno Stephan

Room: ETZ F91

Time: Fri, 12:00 – 13:30Schedule:

19.09.: BOLD neurophysiology (Jakob Heinzle)26.09.: Spatial preprocessing of fMRI images (Lars Kasper)03.10.: The General Linear Model for fMRI analyses (K.E. Stephan)10.10.: Classical (frequentist) inference (Frederike Petzschner)17.10.: no course

24.10.: Multiple comparison correction (J. Chumbley)31.10.: Experimental design (S. Iglesias)07.11.: Event-related fMRI and design efficiency (K.E. Stephan)14.11.: Variational Bayes & Bayesian model selection (Sudhir Shankar)21.11.: Computational Neuroimaging (Andreea Diaconescu)28.11.: Multivariate models for fMRI (K.E. Stephan)05.12.: Basics of Dynamic Causal Modelling (K.E. Stephan)12.12.: Practical session on DCM (K.E. Stephan)19.12.: Advanced aspects of Dynamic Causal Modelling (K.E. Stephan)

Methods & models for fMRI data analysis

FAQs

• Slides available on http://www.translationalneuromodeling.org, more information follows.

• 3 credit points• Attendance requirements: 11/13 presentations• Exam:

– 09.01.2015: 12:00– 13:30 – (36 MC questions, 90 min time)– Pass is required to get credit points

For all administrative issues, please contact Silvia Princz (sprincz@biomed.ee.ethz.ch).

Statistical Parametric Mapping (SPM)

Realignment Smoothing

Normalisation

General linear model

Statistical parametric map (SPM)Image time-series

Parameter estimates

Design matrix

Template

Kernel

Gaussian field theory

p <0.05

Statisticalinference

SPM8soon SPM12

• the history

• the program

• the spirit

SPM documentationpeer reviewed literature SPM course notes,

SPM book & SPM manual

online help & function descriptions

algorithm descriptions,code annotations,pseudo-code

SPM online bibliography

http://www.fil.ion.ucl.ac.uk/spm/

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

http://www.fil.ion.ucl.ac.uk/spm/

• spm@jiscmail.ac.uk– Web home page

• http://www.fil.ion.ucl.ac.uk/spm/support/

• Archives, archive searches, membership lists, instructions– Subscribe

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– join spm Firstname Lastname

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bug reports, patches, techniques, &c…

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