MC3: Functional Neuroimaging

Speaker

Jens Schwarzbach

Description

Neuroimaging is part of the field of Cognitive Neuroscience, where it
is used to relate cognitive processes such as perception, attention,
memory, language, and action to models as well as to functional and
structural neuroanatomy. In this course I will introduce functional
Magnetic Resonance Imaging (fMRI) as a tool to study cognition with a
particular emphasis on functions that relate to this year's focus
theme "Autonomy, Decisions and Free Will".

Content

Introduction to fMRI:
the Blood Oxygenation Level Dependent (BOLD) response
experimental designs (block-, eventrelated, fMRI-adaptation, phase-encoding)
Statistical analysis of fMRI data
Massive univariate analysis by means of the General Linear Model (GLM)
Multivariate Pattern Analysis (MVPA)
Studies of attention, perceptual decisionmaking, and free will

References

Asburner, Friston, & Penny (Eds.). Human Brain Function (2nd edition)
(electronic version http://www.fil.ion.ucl.ac.uk/spm/doc/books/hbf2/):
Chapter 1 (Introduction: Experimental design and Statistical
Parametric Mapping)
Chapter 10 (Analysis of fMRI Timeseries)
Kriegeskorte, N., Goebel, R., & Bandettini, P. (2006).
Information-based functional brain mapping. Proc Natl Acad Sci U S A,
103(10), 3863-3868.