Basics
of Brain Function - Day 2 Peter Jezzard, Ph.D., Douglas
C. Noll, Ph.D., and Steve C.R. Williams, Ph.D., Organizers
Friday, 11 July 2003, 08:40 - 15:15
Last
updated 24 June 2008
Course
Description This eleven-and-three-quarter hour course will provide an introduction to all
aspects of MRI of human brain function. The course starts with an overview of
regional functional specialization of the brain, and the way in which cortical areas
inter-communicate. This is followed by a discussion of the metabolic and hemodynamic
response of the brain to activation. The pulse sequences used to map brain function
are then introduced, along with an overview of the artifacts that should be anticipated.
The second day of the course details the principles of fMR paradigm design, and
introduces the statistical methods used to analyze the data. After describing
emerging (non BOLD) methods for assessing brain function/communication, the course
concludes with a series of talks providing examples of fMRI applications.
Educational
Objectives:
Upon completion of this course,
participants should be able to
Identify the principle areas of the brain used in
sensory perception, motor activity, language, and cognition;
Describe the way in which these cortical areas
inter-communicate, both at the electrical and chemical level;
Describe the associated hemodynamic responses of the
brain that accompany electrical and metabolic activity;
Define and compare the various MRI pulse sequences that
can be used to map human brain function;
Identify the sources of artifacts that are inherent in
many fMRI procedures and describe methods to minimize these artifacts;
Design a simple fMRI paradigm, and describe the
principles used in data analysis;
Explain the principles of perfusion-based fMRI and the
methods used to construct maps of white matter tracts;
Identify the areas of application of fMRI in neurology,
psychiatry and basic neuroscience
Session V:
Experimental Design and Data
Analysis
08:40
Experimental Paradigm Design
Nick F. Ramsey
09:15
Pre-Statistics
Mark Jenkinson
09:50
Data Modeling, General Linear
Model, Statistical Inference
Thomas E. Nichols
10:25
Break
Session VI:
Connectivity Measurement
10:45
Fiber Tracts and Structural
Connectivity in the Human Brain: What Anatomy Can Contribute