Good for newcomer but math is still important

This is a well-written overview of fMRI processing. It will certainly be useful to those beginning work in the field. I think it’s probably also useful as a quick reference or refresher to people who have been in the field for years to decades.

The great strength of the book is readability – I think I read it in 3 or 4 sittings with little effort. It is a good survey – it hits the high points of stages of processing and explains the differences, advantages, and disadvantages of various approaches without being longwinded or getting bogged down in details. It also notes which options are available in the various major software packages.

If you want to be reasonably up-to-date on how processing strategies across the field have evolved and are currently implemented, this book is a great place to start reading.
Functional MRI contrast agent (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

This book, by some of the best in the field, will no doubt be the go-to book found in every imaging lab and recommended for all trainees. Poldrack, Mumford, and Nichols cover the most basic to sophisticated imaging analyses in a wonderfully accessible way.”
B. J. Casey, Sackler Institute, Weill Cornell Medical College

“This is a great and timely book. The authors start with the basic concepts of fMRI and image analysis, develop the standard processings and statistical models, and finally explain in a simple and didactic style more advanced topics such as connectivity and machine learning techniques … This textbook provides a comprehensive, and yet very clear, introduction to all of the important aspects of FMRI data analysis. It is extremely readable, and I would strongly recommend anyone new to the field of neuroimaging to read this from cover to cover. Psychologists and medics will find it accessible, and not mathematically daunting, while engineers and other methods researchers will find the breadth of imaging-related issues a very valuable background.”
Steve Smith, FMRIB Analysis Group, Oxford

“The book is a must in any research laboratory or clinical environment using mri machine, and it is the perfect reading for students or researchers, whether they want to develop fMRI data analysis methods or understand and apply these methods. I believe this book will be a best-seller in our field and a reference for many years because it ideally fills the gap between introductory and advanced research textbooks.”
Jean-Baptiste Poline, Neurospin, Institut d’Imagerie Biomédicale, CEA, France

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