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In an age where the amount of data collected from brain imaging is
increasing constantly, it is of critical importance to analyse
those data within an accepted framework to ensure proper
integration and comparison of the information collected. This book
describes the ideas and procedures that underlie the analysis of
signals produced by the brain. The aim is to understand how the
brain works, in terms of its functional architecture and dynamics.
This book provides the background and methodology for the analysis
of all types of brain imaging data, from functional magnetic
resonance imaging to magnetoencephalography. Critically,
Statistical Parametric Mapping provides a widely accepted
conceptual framework which allows treatment of all these different
modalities. This rests on an understanding of the brain's
functional anatomy and the way that measured signals are caused
experimentally. The book takes the reader from the basic concepts
underlying the analysis of neuroimaging data to cutting edge
approaches that would be difficult to find in any other source.
Critically, the material is presented in an incremental way so that
the reader can understand the precedents for each new development.
This book will be particularly useful to neuroscientists engaged in
any form of brain mapping; who have to contend with the real-world
problems of data analysis and understanding the techniques they are
using. It is primarily a scientific treatment and a didactic
introduction to the analysis of brain imaging data. It can be used
as both a textbook for students and scientists starting to use the
techniques, as well as a reference for practicing neuroscientists.
The book also serves as a companion to the software packages that
have been developed for brain imaging data analysis.
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