Handbook of Neuroimaging Data Analysis

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.

OverviewIntroduction Imaging ModalitiesPositron Emission Tomography: Some Analysis MethodsJohn Aston Structural Magnetic Resonance ImagingWes Thompson Diffusion Magnetic Resonance ImagingHongtu Zhu A Tutorial for Multisequence Clinical Structural Brain MRICiprian Crainiceanu Principles of Functional Magnetic Resonance ImagingMartin Lindquist Electroencephalography (EEG): Neurophysics, Experimental Methods, and Signal ProcessingRamesh Srinivasan Statistical Methods and ModelsImage Reconstruction in Functional MRIDaniel Rowe Statistical Analysis on Brain SurfacesMoo Chung Neuroimage Preprocessing Stephen Strother Linear and Nonlinear Models for fMRI Time Series AnalysisTingting Zhang Functional Neuroimaging Group StudiesBertrand Thirion Corrections for Multiplicity in Functional Neuroimaging DataNicole Lazar Functional Connectivity Analysis for fMRI DataIvor CribbenMultivariate Decompositions in Brain ImagingAni Eloyan Effective Connectivity and Causal Inference in NeuroimagingMartin Lindquist Network AnalysisCedric Ginestet Modeling Change in the Brain: Methods for Cross-Sectional and Longitudinal DataPhil Reiss Joint fMRI and DTI Models for Brain ConnectivityDubois Bowman Statistical Analysis of ElectroencephalogramsHernando Ombao Advanced Topics for Modeling ElectroencephalogramsHernando Ombao

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.