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Material or Process Book or Chapter Title Author or Editor Publication dates

Handbook of Neuroimaging Data Analysis

Authored by: Hernando Ombao , Martin Lindquist , Wesley Thompson , John Aston

Print publication date:  November  2016
Online publication date:  November  2016

Print ISBN: 9781482220971
eBook ISBN: 9781315373652
Adobe ISBN:

10.1201/9781315373652
 Cite  Marc Record

Book description

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Table of contents

Chapter  1:  Overview of the Handbook Download PDF
Chapter  2:  Positron Emission Tomography Download PDF
Chapter  3:  Structural Magnetic Resonance Imaging Download PDF
Chapter  4:  Diffusion Magnetic Resonance Imaging (dMRI) Download PDF
Chapter  5:  A Tutorial for Multisequence Clinical Structural Brain MRI Download PDF
Chapter  6:  Principles of Functional Magnetic Resonance Imaging Download PDF
Chapter  7:  Electroencephalography (EEG) Download PDF
Chapter  8:  Image Reconstruction in Functional MRI Download PDF
Chapter  9:  Statistical Analysis on Brain Surfaces Download PDF
Chapter  10:  Neuroimage Preprocessing Download PDF
Chapter  11:  Linear and Nonlinear Models for fMRI Time Series Analysis Download PDF
Chapter  12:  Functional Neuroimaging Group Studies Download PDF
Chapter  13:  Corrections for Multiplicity in Functional Neuroimaging Data Download PDF
Chapter  14:  Functional Connectivity Analyses for fMRI Data Download PDF
Chapter  15:  Multivariate Decompositions in Brain Imaging Download PDF
Chapter  16:  Effective Connectivity and Causal Inference in Neuroimaging Download PDF
Chapter  17:  Network Analysis Download PDF
Chapter  18:  Modeling Change in the Brain Download PDF
Chapter  19:  Joint fMRI and DTI Models for Brain Connectivity Download PDF
Chapter  20:  Statistical Analysis of Electroencephalograms Download PDF
Chapter  21:  Advanced Topics for Modeling Electroencephalograms Download PDF
prelims Download PDF
Index Download PDF
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