The Statistical Analysis of Functional MRI Data
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...
Na minha lista:
| Autor principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
New York, NY :
Springer New York
2008.
Cham : Springer Nature |
| coleção: | Statistics for Biology and Health
|
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The statistical analysis of functional MRI data, by Nicole A. Lazar, 2008, New York, Springer, 1 volume (XIV-299 pages), Statistics for biology and health, 978-0-387-78190-7 • The Statistical Analysis of Functional MRI Data, Texte imprimé, 9780387569840 • The Statistical Analysis of Functional MRI Data, Texte imprimé, 9781441926791 |
Sumário:
- 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.