Statistical Parametric Mapping:The Analysis of Functional Brain Images

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.

* An essential reference and companion for users of the SPM software
* Provides a complete description of the concepts and procedures
entailed by the analysis of brain images
* Offers full didactic treatment of the basic mathematics behind the
analysis of brain imaging data
* Stands as a compendium of all the advances in neuroimaging data
analysis over the past decade
* Adopts an easy to understand and incremental approach that takes
the reader from basic statistics to state of the art approaches such
as Variational Bayes
* Structured treatment of data analysis issues that links different
modalities and models
* Includes a series of appendices and tutorial-style chapters that
makes even the most sophisticated approaches accessible

From the Back Cover
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