Handbook of Functional MRI Data Analysis
The University of Texas at Austin · University of Warwick
Abstract
Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether…
Citation impact
- FWCI
- 10.77
- Percentile
- 100%
- References
- 0
Authors
3Topics & keywords
- Jargon
- Functional magnetic resonance imaging
- Resting state fMRI
- Computer science
- Artificial intelligence
- Field (mathematics)
- Data science
- Neuroscience