The Statistical Analysis of Functional MRI Data

• Main Author: Lazar, Nicole (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2008.
• Series: Statistics for Biology and Health,
• Subjects: Medicine.; Neurosciences.; Radiology.; Bioinformatics.; Statistics.; Psychology > Methodology.; Psychological measurement.; Medicine & Public Health.; Imaging / Radiology.; Statistics for Life Sciences, Medicine, Health Sciences.; Signal, Image and Speech Processing.; Psychological Methods/Evaluation.

One of the most intriguing questions facing modern science is the inner workings of the human brain. Functional magnetic resonance imaging (fMRI) is a powerful tool used to study the human brain in action. The data produced from mapping the active processes within the brain present many challenges t...

Table of Contents:

• The Science of fMRI
• Design of fMRI Experiments
• Noise and Data Preprocessing
• Statistical Issues in fMRI Data Analysis
• Basic Statistical Analysis
• Temporal, Spatial, and Spatiotemporal Models
• Multivariate Approaches
• Basis Function Approaches
• Bayesian Methods in fMRI
• Multiple Testing in fMRI: The Problem of #x201C;Thresholding#x201D;
• Additional Statistical Issues
• Case Study: Eye Motion Data.