Methods & Models for fMRI Analysis

 

Would you like to obtain good knowledge of the theoretical foundations of SPM and DCM and apply these methods to empirical fMRI data that you have acquired yourself?

This course teaches state-of-the-art methods and models for fMRI data analysis. It covers all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, frequentist and Bayesian inference, multiple comparison corrections, and event-related designs, and Dynamic Causal Modelling (DCM), a novel approach for identification of nonlinear neuronal systems from neurophysiological data. A particular emphasis of the course will be on methodological questions arising in the context of neuroeconomic and clinical studies.

Link to ETH course catalogue


 

 

First part - Basic analysis of fMRI data (UZH/ETH and MED):

Date

Time and Place

Students

Topic

Links

19.09

08:15-12:00 ETZ F91

UZH/ETH students only

Introduction to basic probability theory and Bayes with hands-on examples (Eduardo Aponte)

26.09

08:15-10:00

UZH/ETH students

Scanning own experiment (Jakob Heinzle & Sara Tomiello)

08:15-10:00 ETZ F91

MED students

Intro to basic math med (linear algebra, matrix, correlation, basic statistics) (Dario Schöbi)

CheatSheet

10:15-12:00 LFW E13

all students

Why is fMRI important for medicine? (Klaas Enno Stephan)

Slides

03.10

08:15-10:00

MED students

Scanning own experiment (Jakob Heinzle & Sandra Iglesias)

08:15-10:00 LFW E13

UZH/ETH students

Intro to basic math med (linear algebra, matrix, correlation, , simple statistics) (Dario Schöbi)

CheatSheet

10:15-12:00 LFW E13

all students

Foundations of functional MRI: neurophysiology and physics (Jakob Heinzle)

Slides

10.10

08:15-10:00 LFW E13

all students

Introduction to Spatial preprocessing of fMRI images (Lars Kasper)

Slides_1 CheatSheet

10:15-12:00 LFW E13

all students

Preprocessing of own data (Lars Kasper)

Code
Tutorial

17.10

08:15-10:00 LFW E13

all students

The General Linear Model for fMRI analyses (Jakob Heinzle)

Slides

10:15-12:00 LFW E13

all students

Analysis of own data (GLM) (Jakob Heinzle)

Tutorial

24.10

08:15-10:00 LFW E13

all students

Classical (frequentist) inference and multiple comparison correction (Klaas Enno Stephan)

Slides1 Slides2

10:15-12:00 LFW E13

all students

Analysis of own data (1st level) (Klaas Enno Stephan)

31.10

08:15-10:00 LFW E13

all students

Event-related fMRI and design efficiency (Jakob Heinzle)

Slides

10:15-12:00 LFW E13

all students

Comparison of different designs from scanning (Jakob Heinzle)

07.11

08:15-10:00 LFW E13

all students

Experimental design and Resting State Analysis (Sandra Iglesias, Sara Tomiello)

Slides1, Slides2

10:15-12:00 LFW E13

all students

Short presentation of results of analysis of own data (MED/UZH)

Instructions

 

 

Second part - Advanced topics (ETH):

Date

Time

Students

Topic

Links

14.11

08:15-12:00 LFW E13

ETH

Group level analysis (Sandra Iglesias)

Slides

10:15-12:00 LFW E13

ETH

Tutorial (Sandra Iglesias)

Code

21.11

08:15-10:00 LFW E13

ETH

Noise models in fMRI and noise correction (Lars Kasper)

Slides

10:15-12:00 LFW E13

ETH

PhysIO (own data) (Lars Kasper)

Code

28.11

08:15-10:00 LFW E13

ETH

Bayesian inference and Bayesian model selection (Klaas Enno Stephan)

Slides

10:15-12:00 LFW E13

ETH

BMA and BMS (Klaas Enno Stephan)

Data

05.12

08:15-10:00 LFW E13

ETH

Computational Neuroimaging (model-based fMRI) (Andreea Diaconescu)

Slides

10:15-12:00 LFW E13

ETH

Tutorial (Sandra Iglesias)

Code

12.12

08:15-10:00 LFW E13

ETH

Introduction to Dynamic Causal Modelling (Stefan Frässle)

Slides

10:15-12:00 LFW E13

ETH

DCM analysis (Stefan Frässle)

19.12

10:00-11:30 LFW E13

ETH

Exam

Info

 


Exam dates and testat:

First part (Medizin Mantelstudium and UZH students): No formal exam, but in order to get the testat and ECTS, you need to present your data analysis in a short presentation during the tutorial on Tuesday, 07.11.2017, 10:15-12:00, Room: LFW E 13.

Main exam (all other students): Tuesday, 19.12.2017, 10:00-11:30, Room: LFW E13

Material for the exam: Bring with you something to write (pen), your Legi and an ID. No other material is allowed!

Contact:

Sandra Iglesias: iglesias@biomed.ee.ethz.ch

Jakob Heinzle: heinzle@biomed.ee.ethz.ch