Name: Elements of Functional Magnetic Resonance Imaging (en Inglés)
SKU: 64810361
Price: 122.26 USD
Availability: InStock
Author: Tor Wager

portada Elements of Functional Magnetic Resonance Imaging (en Inglés)

Elements of Functional Magnetic Resonance Imaging (en Inglés)

Formato

Libro Físico

Editorial

MIT Press

Autor

Tor Wager

Año

2026

Idioma

Inglés

N° páginas

552

Encuadernación

Tapa Blanda

Dimensiones

22.86x17.78 cm

ISBN13

9780262045049

Elements of Functional Magnetic Resonance Imaging (en Inglés)

Tor Wager (Autor) · MIT Press · Tapa Blanda

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Reseña del libro "Elements of Functional Magnetic Resonance Imaging (en Inglés)"

A comprehensive, accessible treatment of fMRI neuroimaging, covering conceptual foundations, technical details, and contemporary applications.

The growing prevalence of neuroimaging, particularly fMRI, poses a challenge. As an inherently technical enterprise, it requires a synthesis of biological, computational, statistical, and psychological expertise that spans many fields. Providing a much-needed comprehensive treatment of the subject designed for practitioners working with neuroimaging data as well as non-specialists, this textbook introduces the fundamentals of how fMRI works and the principles that underlie it. Tor Wager and Martin Lindquist begin with a broad conceptual overview of what neuroimaging can and cannot say about the mind and behavior before moving to in-depth coverage of technical and mathematical detail. Topics include MRI physics and data acquisition, physiology, experimental design, preprocessing, general linear models, effect sizes and power, brain connectivity, multivariate statistical models, graph theory and network analysis, causal models and directed connectivity, predictive models and biomarkers, and machine learning and deep learning applications of artificial intelligence.

Gives readers the conceptual tools to evaluate neuroimaging findingsDetails standard statistical methods, advanced analytic techniques, and cutting-edge methods using machine learning and AICovers fundamental topics in physics, data acquisition, and experimental designHas applications in psychology, neuroscience, economics, medicine, statistics, engineering, law, political science, journalism, and marketing