methods & models for fmri data analysis – hs 2013

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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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Methods & models for fMRI data analysis – HS 2013. David Cole Andrea Diaconescu Jakob Heinzle Sandra Iglesias Sudhir Shankar Raman Klaas Enno Stephan. Methods & models for fMRI data analysis. Room: ETZ F91 Time: Fri, 12:00 – 13:30. Schedule: - PowerPoint PPT Presentation

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Methods & models for fMRI data analysis – HS 2013

David ColeAndrea DiaconescuJakob HeinzleSandra IglesiasSudhir Shankar RamanKlaas Enno Stephan

Room: ETZ F91

Time: Fri, 12:00 – 13:30Schedule:

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

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 ([email protected]).

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

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

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

• 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/

[email protected]– 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 [email protected]

– join spm Firstname Lastname

– Participate & learn• email [email protected]• Monitored by SPMauthors• Usage queries, theoretical discussions,

bug reports, patches, techniques, &c…

[email protected]– 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 [email protected]

– join spm Firstname Lastname

– Participate & learn• email [email protected]• Monitored by SPMauthors• Usage queries, theoretical discussions,

bug reports, patches, techniques, &c…

[email protected]://www.fil.ion.ucl.ac.uk/spm/support/

SPM email list