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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Lazar, Nicole (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Statistics for Biology and Health,
Temas:
Radiology.
Neurosciences.
Biometry.
Bioinformatics.
Signal processing.
Psychology-Methodology.
Neuroscience.
Biostatistics.
Signal, Speech and Image Processing .
Psychological Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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