Handbook of Neuroimaging Data Analysis: 1st Edition (Hardback) book cover

Handbook of Neuroimaging Data Analysis

1st Edition

Edited by Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston

Chapman and Hall/CRC

662 pages | 172 B/W Illus.

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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.


"Handbook of Neuroimaging Data Analysis is a great source to help you get started . . . If you find a particular modality that interests you, just email one of the authors in the book who also works on data analysis within that modality. They are all friendly and helpful, and they will point you to sources of publically available data."

~Timothy D. Johnson

"These chapters are primarily written by statisticians, but the book is nicely balanced by contributions from biomedical engineers, psychologists, and cognitive scientists. . . I recommend this book to statisticians interested in learning about neuroimaging and contributing to its growth."

~Journal of the American Statistical Association

Table of Contents



Imaging Modalities

Positron Emission Tomography: Some Analysis Methods

John Aston

Structural Magnetic Resonance Imaging

Wes Thompson

Diffusion Magnetic Resonance Imaging

Hongtu Zhu

A Tutorial for Multisequence Clinical Structural Brain MRI

Ciprian Crainiceanu

Principles of Functional Magnetic Resonance Imaging

Martin Lindquist

Electroencephalography (EEG): Neurophysics, Experimental Methods, and Signal Processing

Ramesh Srinivasan

Statistical Methods and Models

Image Reconstruction in Functional MRI

Daniel Rowe

Statistical Analysis on Brain Surfaces

Moo Chung

Neuroimage Preprocessing

Stephen Strother

Linear and Nonlinear Models for fMRI Time Series Analysis

Tingting Zhang

Functional Neuroimaging Group Studies

Bertrand Thirion

Corrections for Multiplicity in Functional Neuroimaging Data

Nicole Lazar

Functional Connectivity Analysis for fMRI Data

Ivor Cribben

Multivariate Decompositions in Brain Imaging

Ani Eloyan

Effective Connectivity and Causal Inference in Neuroimaging

Martin Lindquist

Network Analysis

Cedric Ginestet

Modeling Change in the Brain: Methods for Cross-Sectional and Longitudinal Data

Phil Reiss

Joint fMRI and DTI Models for Brain Connectivity

Dubois Bowman

Statistical Analysis of Electroencephalograms

Hernando Ombao

Advanced Topics for Modeling Electroencephalograms

Hernando Ombao

About the Editors

Hernando Ombao is Professor in the Department of Statistics at the University of California, Irvine and Fellow of the American Statistical Association. Martin Lindquist is Professor in the Department of Biostatistics at Johns Hopkins University and Fellow of the American Statistical Association. Wesley Thompson is Associate Professor in the Department of Psychiatry at the University of California, San Diego and Lead Scientist at the Institute of Biological Psychiatry, Mental Health Services, Copenhagen, Denmark. John Aston is Professor in the Statistical Laboratory at the University of Cambridge and Fellow of the American Statistical Association.

About the Series

Chapman & Hall/CRC Handbooks of Modern Statistical Methods

Learn more…

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
SCIENCE / Life Sciences / Neuroscience