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Statistical Analysis Of FMRI Data (MIT Press) File Size: 10147 KB

Print Length: 352 pages

Publisher: The MIT Press; 1 edition (March 11, 2011)

Publication Date: March 11, 2011

Sold by: Digital Services LLC

Language: English

ASIN: B00ELVTF1O

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Best Sellers Rank: #781,379 Paid in Kindle Store (See Top 100 Paid in Kindle Store) #30 in Kindle Store > Kindle eBooks > Engineering & Transportation > Engineering > Computer Technology > Imaging Systems #173 in Books > Computers & Technology > Graphics & Design > Computer Modelling > Imaging Systems #232 in Kindle Store > Kindle eBooks > Medical eBooks > Specialties > Radiology

One of the most challenging aspects of learning and teaching the non-trivial statistical methodology associated with the analysis of fMRI data is a widespread tendency (in textbooks and papers) not to write down the underlying mathematical ideas precisely and clearly.In an effort to improve my own understanding of the field, and to train my post-docs and PhD students, I have carefully looked at every related textbook in the field. This book is on a class of its own and is a MUST read for every serious student of fMRI.The book carries the reader through a precise but highly readable analysis of the statistical issues associated with analyzing fMRI data, from basic issues such as preprocessing, to an outstanding four chapter discussion of 'connectivity methods' and 'multivariate approaches'. To top it all, the book includes multiple snipets of MATLAB code that greatly add to the reader's understanding of the subject.Overall, the book is an example of how methods should be disseminated in this highly technical area to an area that spans a wide range of mathematical backgrounds.Everybody in my lab is getting a copy of this!Antonio RangelProf. of Neuroscience & EconomicsCaltech

The books succeeds in elucidates the complex world of fMRI statistics. The book guides a reader throughout the process of fMRI data analysis with clear, practical examples. It is also possible to read select chapters on particular topics of interest. Additionally, there are many specific tips and tricks to improve the quality of fMRI studies and subsequent analysis. The value (i.e., price for information) is extraordinary. Thus, making it an appropriate textbook choice for a graduate level course in fMRI data analysis. As additional value, there is Matlab code on his personal website, [...], to facilitate a deeper understanding of the concepts. Overall, this book is an invaluable asset to the field.

I bought the book because I was auditing fMRI course at MIT. It's good book for starting to work with fMRI data without getting too much into physical details.

Good book.

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