Psychology | Neuroimagining Methods and Statistics
P657 | 24648 | James, T

Neuroimaging Methods and Statistics
Dr. Thomas James

Prerequisites: K300; P211
Recommended: P326

The use of functional magnetic resonance imaging (fMRI) as a
technique for psychological experimentation has grown immensely in
the last decade. In parallel with this growth have been advances in
1) our understanding of the coupling between the fMRI signal and
neural activity; 2) the complexity of experimental designs; and 3)
the rigor of statistical analyses.

This course will examine these three components in detail. Specific
topics include: a) neuroimaging techniques; b) introductory MR
physics; c) measuring Blood Oxygen-Level Dependent (BOLD) changes;
d) the relationship between BOLD and neural activity; e) the
temporal and spatial limits of fMRI; f) signal to noise; g) pre-
processing steps; h) block-design and event-related design
experiments; i) the general linear model applied to fMRI; j) event-
related averaging and deconvolution; k) independent components
analysis; l) effective and functional connectivity.

Classes will be a mixture of didactic instruction, student
presentations, discussions and hands-on demonstration. Readings from
the required textbook will be supplemented with research articles.
There will be a short exam on the didactic lectures and textbook
material. Assignments will include analysis of fMRI data sets and a
written research proposal. Grades will be based on in-class
participation, presentations, assignments and the exam. Graduate
students will be encouraged to collect their own fMRI data for use
in assignments.

Students interested in the course should have prior preparation in
psychological research methods and statistics, with emphasis on
knowledge of the general linear model. This course should be equally
appealing to students in psychology, cognitive science and
neuroscience who are interested in learning the methods of cognitive