There has been explosive interest in the use of brain imaging to study cognitive and affective processes in recent years. A recent surge in integrative empirical work combines neuroimaging data with measures of human performance, physiology, and brain structure. Functional magnetic resonance imaging (fMRI) is a neuroimaging technique central to this endeavor, and research using fMRI is one of the fastest-growing areas in psychology, neuroscience, and related social sciences.

fMRI research is inherently cross-disciplinary in nature, and methods for acquiring and analyzing fMRI data are being rapidly developed. Thus, there is a need for continuing education on state-of-the-art methodological developments in fMRI acquisition and analysis.

Thresholding and Multiple Comparisons
Tom Nichols, GlaxoSmithKline, London, UK

Bayesian Analysis of Neuroimaging Data
DuBois Bowman, Emory University, Atlanta, GA, USA

Functional and Effective Connectivity
Barry Horwitz, National Institute on Deafness and Other Communication Disorders, Bethesda, MD, USA

Meta-Analysis of Functional Neuroimaging Data
Tor D. Wager, Columbia University, New York, NY USA