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fMRI Image Acquisition and Analyses Course

The course faculty include:
Kent Kiehl (The Mind Research Network and the University of New Mexico)
Vince Calhoun (Georgia State University, Georgia Institute of Technology and Emory University)
Tor Wager (University of Colorado, Boulder’s Department of Psychology and Neuroscience and Institute for Cognitive Science)

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 (SPM8), independent component analyses (ICA) of fMRI data, mediation analysis of fMRI, and statistical nonparametric mapping (SnPM). We provide 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), SPM8, 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.

Dates and Time: 

October 24 - 26, 2019


TReNDS Center
Georgia State University
55 Park PL NE, 18th Floor
Atlanta, GA  30303


Register as trainee ($895) - this category includes undergraduate and graduate students, post-doctoral fellows or trainees in a post-graduate training period prior to graduate school.

Attendee Name & E-mail

Register as faculty ($1295) - this category includes k-awardees, research scientists, and assistant (or higher) professors or full time employees not in a training program.

Attendee Name & E-mail

Register as an industry participant ($1995) – this category includes anyone who is primarily employed in a non-academic setting.

Attendee Name & E-mail

If you have any questions about or difficulties with the registration or payment process please email fMRIcourse@mrn.org.

*After completing registration we ask that all course attendees complete this questionnaire as it gives us important information like their name, institution, and any dietary restrictions.

Agenda & FAQ

Agenda & FAQ coming soon.

Recommended Hotel:


Recommended Transportation:

It is not necessary to rent a car.  Uber and Lyft can be an economical option.

Recommended readings for the course:

Website Links:

• fMRI for newbies

• SPM manual and documentations
http://www.fil.ion.ucl.ac.uk/spm/doc/ and

• SPM short course notes

• Introduction to SPM stats

• ICA of fMRI overview

• GIFT website and manual

• Statistical Nonparametric Mapping (SnPM)

• Experimental design (Rik Henson)

fMRI Methods - Chapters:

Wager, T. D. & Lindquist, M. A.  This book provides comprehensive coverage of the key concepts involved in current fMRI acquisition and analysis.  It is available online at https://leanpub.com/principlesoffmri.

V. D. Calhoun and T. Adalı, "Multi-subject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery," IEEE Reviews in Biomedical Engineering, vol. 5, pp. 60-73, 2012

E. Erhardt, S. Rachakonda, E. Bedrick, T. Adalı, and V. D. Calhoun, "Comparison of multi-subject ICA methods for analysis of fMRI data," Human Brain Mapping, vol. 12, pp. 2075-2095, 2011

V. D. Calhoun, R. Miller, G. D. Pearlson, and T. Adalı, "The chronnectome: Time-varying connectivity networks as the next frontier in fMRI data discovery," Neuron, vol. 84, pp. 262-274, 2014

Wager, T. D., Hernandez, L., Jonides, J., & Lindquist, M. (2007). "Elements of functional neuroimaging," J. T. Cacioppo, L. G. Tassinary & G.G. Berntson (Eds.), Handbook of Psychophysiology (4th ed., pp. 19-55). Cambridge: Cambridge University Press."

Wager. T. D., Lindquist, M., and Hernandez, L. (2009). "Essentials of functional neuroimaging," Handbook of Neuroscience for the Behavioral Sciences.

Wager, T. D., & Lindquist, M. A. (2011). "Essentials of functional magnetic resonance imaging," Handbook of Social Neuroscience.

Lindquist, M. A. & Wager, T. D. (2014) "Principles of functional Magnetic Resonance Imaging," Handbook of Neuroimaging Data Analysis. London: Chapman & Hall, CRC Press.

Find Dr. Wager's suggested readings at: http://wagerlab.colorado.edu/wiki/doku.php/help/fmri_tools_documentation.