Handbook of Functional MRI Data Analysis

The Handbook of Functional MRI Data Analysis is a comprehensive and practical guide to fMRI data analysis methods, with a focus on commonly used techniques and background on popular data analysis packages. It also discusses cutting-edge techniques such as pattern classification analysis, connectivity modeling, and resting state network analysis.

Format: Paperback / softback
Length: 238 pages
Publication date: 08 February 2024
Publisher: Cambridge University Press

Functional magnetic resonance imaging (fMRI) has emerged as the most widely adopted approach for visualizing brain activity. The Handbook of Functional MRI Data Analysis offers a comprehensive and hands-on introduction to the methodologies employed in analyzing fMRI data. Written in a clear and concise manner, this book elucidates the fundamental concepts underlying fMRI data processing, with a particular emphasis on the most commonly utilized techniques in the field. This book serves as a valuable resource for both novice practitioners and seasoned researchers seeking to gain a profound understanding of how to employ fMRI analysis to address scientific inquiries and enhance their proficiency in utilizing fMRI analysis software.

The book begins by providing a foundational overview of the methods employed by prevalent data analysis packages such as FSL, SPM, and AFNI. It delves into the intricacies of preprocessing fMRI data, encompassing tasks such as spatial normalization, motion correction, and temporal filtering. Furthermore, it discusses the various statistical models used for fMRI data analysis, including general linear models, random effects models, and Bayesian inference approaches.

In addition to these foundational topics, the book explores cutting-edge techniques such as pattern classification analysis, connectivity modeling, and resting state network analysis. These advanced methodologies enable researchers to delve deeper into the intricate networks of brain activity and uncover meaningful insights into cognitive processes and disorders.

Throughout the handbook, real-world examples and case studies are provided to illustrate the practical applications of fMRI analysis. These examples showcase the successful integration of fMRI data with other modalities, such as electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS), to enhance our understanding of brain function and behavior.

By offering a comprehensive and accessible guide to fMRI data analysis, the Handbook of Functional MRI Data Analysis empowers readers to unlock the full potential of this powerful imaging technique. Whether you are a novice researcher seeking to foray into the field or an experienced practitioner looking to refine your skills, this book provides the essential knowledge and tools to excel in fMRI analysis and advance our understanding of the human brain.

Weight: 510g
ISBN-13: 9781009481168