Book: Principles of fMRI
Coursera courses:
Free video lectures, self-quizzes, etc.
Part 1 of an online Coursera course by Martin Lindquist and Tor Wager. The lectures can also be found here.
Part 2 of an online Coursera course by Martin Lindquist and Tor Wager.
fMRI Image Acquisition and Analyses Course with SPM and ICA:
Hands-on, immersive 3-day fMRI analysis workshop, with Vince Calhoun, Kent Kiehl, and Tor Wager
Open-source Neuroimaging Analysis Tools:
Explore CANlab neuroimaging analysis tools including a set of linked GitHub Repositories, Walkthroughs/Tutorials.
Resources include but are not limited to:
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- Neuroimaging Masks
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You can find brain signature patterns, atlases of regions, and meta-analysis masks for neuroimaging data analysis on our GitHub Repository and CANlab Brain Patterns website
Interactive, object-oriented data visualization and analysis, multivariate prediction
Walkthroughs and help examples for CANlab Core, and group analysis/prediction script
Single- and multi-level mediation, mediation brain search
Coordinate-based meta-analysis for neuroimaging using Multilevel Kernel Density Analysis and various other statistical tools
Robust regression for 2nd-level analysis
Experimental paradigms/code/stimuli
Datasets from published CANlab paper
CANlab SPM-based fMRI preprocessing pipeline
fMRI Methods Chapters:
There are some overlap across chapters, but each chapter covers some unique topics