fMRI image acquisition and analyses course with SPM5/8 and ICA - July 14-16, 2011 - Second call  

The Mind Research Network and the University of New Mexico are pleased to announce the next upcoming fMRI Image Acquisition and Analyses course to be held July 14-16, 2011 at the Mind Research Network on the campus of the University of New Mexico in Albuquerque, NM. The course will include overview of both SPM5 and SPM8.

The course faculty include:
Kent Kiehl  (The Mind Research Network and the University of New Mexico)
Vince Calhoun  (The Mind Research Network and the University of New Mexico)
Tor Wager (University of Colorado Boulder)

The course is designed for fMRI researchers who range from beginning to intermediate skill levels. It will provide those who are just getting started with fMRI a comprehensive set of tools and software to get started with your own studies, and those who are more advanced will benefit from custom code and supplements to standard analyses developed by the instructors. We cover Statistical Parametric Mapping (SPM5/8), independent component analyses (ICA) of fMRI data, mediation analysis of fMRI, and statistical nonparametric mapping (SnPM).

The course provides comprehensive coverage of all aspects of experimental design, image acquisition, image preprocessing, and analysis using the general linear model and ICA.

The course is unique in that it pairs interactive lectures with hands-on demonstrations and work-through sessions. Each student works on their own laptop. Software will be installed on each student's laptop during the beginning of the course, including Matlab (a trial version), SPM5/8, the Group ICA of fMRI Toolbox (GIFT), and related SPM toolboxes, including statistical nonparametric mapping (SnPM) and the multi-level mediation fMRI toolbox (M3). In addition, alongside the lectures, participants will be trained to analyze example fMRI data on their laptops using these tools.

The course will be small and interactive with many opportunities to work closely with the faculty. Registration will be on a first-come, first-served basis; we apologize in advance if we cannot accommodate all who wish to attend, but we will admit as many people as possible given the interactive nature of the course.

To register, go to