Enrollment will be limited and consent will be required from the instructors prior to enrollment.
If your Interested in any of theses courses click here and complete the pre-enrollment form.
Three levels will be offered:
1. FMRI Foundations - Fall 2011. by David Dubowitz dubowitz@ucsd.edu
2. FMRI Design & Analysis* - Spring 2011 by Amanda Grethe agrethe@ucsd.edu
3. FMRI Advance Topics* - Winter 2012. by Rick Buxton rbuxton@ucsd.edu
*Syllabus will be updated closer to course start date.
1. Functional Magnetic Resonance Imaging in Cognitive Neuroscience: Foundations
Functional magnetic resonance imaging (FMRI) is an essential tool for the study of brain activity correlates to sensory, perceptual, and cognitive functions. This course is the first of a series of 3 courses, and aims to provide an introduction to functional neuroimaging. This course provides a foundation in the underlying neurochemistry and energetic that make functional neuroimaging possible, and a grounding in the physical principles of magnetic resonance imaging. This course will allow students to understand the basic principles underlying FMRI, including potential applications and limitations. The course will include hands-on tutorials with an introduction to using MRI scanners, so that students will understand how FMRI data are generated and can be assessed for quality. more information .
2. Functional Magnetic Resonance Imaging in Cognitive Neuroscience: Design & Analysis.
Functional magnetic resonance imaging (FMRI) is an essential tool for the study of brain activity correlates to sensory, perceptual, and cognitive functions. This course aims to provide a solid foundation in FMRI experimental design and analysis sufficient to allow the student to conduct and report high-quality research using FMRI. The course is targeted to students new to FMRI research or those students with some experience in FMRI research that are seeking a deeper understanding of the various options available for analysis of FMRI data. The course will include multiple design and analysis assignments and several open discussion forums to provide practical experience in addition to the lecture format. The course will primarily focus on the use of the AFNI suite of programs for data analysis and visualization. Other software tools will be discussed where practical (e.g., FSL, SPM).
3. Functional Magnetic Resonance Imaging in Cognitive Neuroscience: Advance Topics.This course combines lectures and discussion of current papers describing the latest developments in fMRI. This year’s topics include: quantitative fMRI (Buxton), mapping networks with resting state correlations (Haist and Liu), combining MR spectroscopy with fMRI (Theilmann), basics of EEG and MEG signals and their combination with fMRI in a multi-modal approach (Halgren), applications of fMRI to test computational neurocognitive models (Brown), and the coupling of blood flow and neural activity (Devor). Presentation of papers is by students taking the course for credit, but other fMRI investigators are encouraged to attend and participate in the discussions.
Learning Tools
For our currently enrolled students, LearnFMRI web is our eLearning tool. This contains reading material, analysis tools, lecture notes and lab manuals. Select Student Login from the list of links.
