Prospectus

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fMRI Data and Statistics

Course 2015-2016

Entry requirements

  • Master’s students in Psychology
  • Knowledge of the Linux/Unix computer environment.
    People with no previous experience of UNIX should spend a few hours, before the course starts, working through at least the first 5 sections of a basic unix tutorial

Description

The use of fMRI has become a very important technique for functional brain imaging. The special nature of the data collected by this method requires very specific, often recently developed, statistical methods for data analysis. In this course several statistical methods for analysing fMRI data will be discussed. The course takes place in 8 sessions. On most days, the first two hours theoretical issues will be addressed. In the last two hours students are trained in how to analyse data in practical situations.

Topics which will be discussed are:

  • Why and when fMRI
  • BOLD response
  • preprocessing
  • design for a single-subject experiment
  • making statistical inferences
  • statistical analysis of fMRI data by GLM
  • group analyses.

Course objectives

Upon completion of this course, students will:

  • Become familiar with the basics of fMRI statistics;
  • Learn how to analyse fMRI data; and
  • Be able to carry out analyses and interpreting the results.

Timetable

For the timetables of your lectures, work groups and exams, please select your study programme in:
Psychology timetables

Registration

Course

Students need to enroll for lectures and work group sessions.
Master’s course registration

Examination

Students are not automatically enrolled for an examination. They can register via uSis from 100 to 10 calendar days before the date. Students who are not registered will not be permitted to take the examination.
Registering for exams

Mode of instruction

Lectures and supervised work group sessions.

Assessment method

Practical assignment during course and an examination in week 8 of the course.
Attentdance to all lectures and all work group sessions is mandatory.

The Faculty of Social and Behavioural Sciences has instituted that instructors use a software programme for the systematic detection of plagiarism in students’ written work. In case of fraud disciplinary actions will be taken. Please see the information concerning fraud.

Reading list

  • S.A. Huettel, A.W. Song, G. McCarthy. (2009). Functional Magnetic Resonance Imaging 2nd Revised Edition. Sinauer Associates Inc.,U.S.
  • Lecture notes

Contact information

Serge Rombouts
s.a.r.b.rombouts@lumc.nl