Nicole Lazar

The Statistical Analysis of Functional MRI Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Erscheinungstermin: 10.06.2008
• Englisch
• ISBN-13: 9780387781914
• Artikelnr.: 37288480

Inhaltsangabe

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.

Rezensionen

From the reviews: "This book gives an extensive description of many analysis pathways developed recently in fMRI data processing. The varied topics are described firstly in a very comprehensible fashion for non-statisticians. In addition, most of the explanations are supported by clear and accurate statistical justifications. Thus, statisticians will find in this book the scientific issues which readers are facing when analyzing fMRI data, and neuroscientists will find a summary of many different methods to tackle fMRI data exploration.... It is highly appreciated to be able to read such honest and thoughtful reflections of fMRI data analysis." (Archard, Journal of Statistical Software, January 2009, Vol. 29, Book Review 3). "…I recommend this book. It serves as an overview of current statistics-related research in a field that is advancing rapidly and is both scientifically and technologically very complex, thereby filling a need that had not yet been met by any other book. The author cites widely from both statistical and neuroimaging literature (284 references total)… . The author states that her goal for this book was 'to provide an introduction to functional magenetic resonance imaging, aimed at statisticians, that would highlight the important scientific issues and survey the common…analysis pathways' (p. VIII). The author has in large part done a very commendable job of attaining this goal." ( Journal of the American Statistical Association, Dec. 2009, Vol. 104, No. 488)