Methods & Models for fMRI Analysis

 

Vielen Dank für das Interesse am "Methods & Models for fMRI Analysis" (HS2015) Kurs.

Für Präsentationen und Codes zu den einzelnen Vorlesungen, siehe Programm HS2015 unten:

 

Programm HS2015:

18.09.2015  –  MRI physics and BOLD neurophysiology (Jakob Heinzle)
Downloads: Intro 2015, Slides Lecture 1, Code Lecture 1

25.09.2015  –  Spatial preprocessing of fMRI images (Lars Kasper)
Downloads: Slides Lecture 2, Tutorial Lecture 2

02.10.2015  –  The General Linear Model for fMRI analyses (Jakob Heinzle)
Downloads: Slides Lecture 3, Tutorial Lecture 3

09.10.2015  –  Classical (frequentist) inference (Andreea Diaconescu)
Downloads: Slides Lecture 4, Tutorial Lecture 4

16.10.2015  –  Noise models in fMRI and noise correction (Lars Kasper)
Downloads: Slides Lecture 5

23.10.2015  –  Multiple comparison correction (Justin Chumbley)
Downloads: Slides Lecture 6

30.10.2015  –  Experimental design and resting state fMRI (Sandra Iglesias)
Downloads: Slides Lecture 7a, Slides Lecture 7b

06.11.2015  –  Event-related fMRI and design efficiency (Jakob Heinzle)
Downloads: Slides Lecture 8, Tutorial Lecture 8

13.11.2015  –  Group level analysis (Justin Chumbley)
Downloads: Slides Lecture 9

20.11.2015  –  Computational neuroimaging (Andreea Diaconescu)
Downloads: Slides Lecture 10, Tutorial Lecture 10 – requires HGF version 4.0 (latest Tapas download).

27.11.2015  –  Bayesian inference and model selection (Sudhir Raman)
Downloads: Slides Lecture 11, Tutorial Lecture 11.

04.12.2015  –  Multivariate models for fMRI (Sudhir Raman)
Downloads: Slides Lecture 12, Tutorial Lecture 12.

11.12.2015  –  Basics of Dynamic Causal Modelling (Jakob Heinzle)
Downloads: Slides Lecture 13

18.12.2015  –  Advanced aspects of Dynamic Causal Modelling (Klaas Enno Stephan)
Downloads: Slides Lecture 14