Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

227-0969-00L  Methods & Models for fMRI Data Analysis

SemesterAutumn Semester 2018
LecturersK. Stephan
Periodicityyearly recurring course
Language of instructionEnglish



Catalogue data

AbstractThis course teaches methods and models for fMRI data analysis, covering all aspects of statistical parametric mapping (SPM), incl. preprocessing, the general linear model, statistical inference, multiple comparison corrections, event-related designs, and Dynamic Causal Modelling (DCM), a Bayesian framework for identification of nonlinear neuronal systems from neurophysiological data.
ObjectiveTo obtain in-depth knowledge of the theoretical foundations of SPM
and DCM and of their application to empirical fMRI data.
ContentThis 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 Bayesian framework 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 studies in psychiatry, neurology and neuroeconomics.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits6 credits
ExaminersK. Stephan
Typeend-of-semester examination
Language of examinationEnglish
RepetitionThe performance assessment is only offered at the end after the course unit. Repetition only possible after re-enrolling.
Additional information on mode of examinationWritten exam, 90 Min.

Learning materials

 
Main linkhttps://www.tnu.ethz.ch/de/teaching.html
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
227-0969-00 VMethods & Models for fMRI Data Analysis4 hrs
Tue08-12ETZ E 6 »
K. Stephan

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Biomedical Engineering MasterRecommended Elective CoursesWInformation
Health Sciences and Technology MasterElective Courses IIWInformation
MAS in Medical PhysicsElectivesWInformation