The science of fMRI. - Design of fMRI experiments. - Noise and data preprocessing. - Statistical issuesin fMRI data analysis. - Basic statistical analysis. - Temporal, spatial, and spatiotemporal models. - Multivariate approaches. - Basis function approaches. - Bayesian methods in fMRI. - Multiple testing in fMRI: the problem of "thresholding."- Additional statistical issues. - Case study: eye motion data. - Survey of major fMRI software packages. - Glossary of fMRI terms. - References. - Index.
This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the basics of technique, and surveying the most popular current statistical approaches.