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Methods & models for fMRI data analysis: Information on the exam (HS 2008)

This document provides essential information regarding the fMRI Data Analysis exam scheduled for Thursday, January 8, 2009, from 8:00-9:45 AM at Universität Zentrum, KOL-G-204. It will consist of multiple-choice questions covering various aspects of the course, with a focus on specific topics such as the neurophysiological interpretation of BOLD signals, the General Linear Model, classical inference, statistical contrasts, event-related fMRI, design efficiency, and effective connectivity analyses including PPI and DCM. Prepare thoroughly for this exam.

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Methods & models for fMRI data analysis: Information on the exam (HS 2008)

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  1. Methods & models for fMRI data analysis:Information on the exam (HS 2008) Klaas Enno Stephan Laboratory for Social & Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London

  2. Organisational issues • Location: Universität Zentrum, KOL-G-204 • Date and time: Thursday, 8 January 2009, 8:00-9:45 am • Format: Multiple choice questions

  3. Topics of particular interest of the exam • Although the questions can cover any aspect of the course, the following topics will be of particular interest: • neurophysiological interpretation of BOLD signals • the General Linear Model • classical inference • statistical contrasts • event-related fMRI • design efficiency • effective connectivity analyses: PPI and DCM

  4. Reminder: course structure

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