Handbook of Functional MRI Data Analysis

Rezensionen / Stimmen

'Wow! Very often in neuroimaging a title has little relationship to what follows. That is clearly not the case with the Handbook of Functional MRI Data Analysis by Poldrack, Mumford, and Nichols. This relatively slender volume is all that a handbook should be: it is crafted by true experts in the field, it is structured so that a newcomer can understand a method's strengths and weaknesses, but it also contains meaty information useful to experts. The book touches on all of the major analytical approaches current in the field and, while I don't agree with every choice the authors make, their advice is always well-conceived. This will be a standard reference on every neuroimager's shelf.' Steven Petersen, Washington University, St Louis 'This book, by some of the best in the field, will no doubt be the go-to book found in every imaging lab and recommendedfor 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 fMRI, and it is the perfect reading for studnets 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 Biomedicale, CEA, France