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Computing brain activity maps from fMRI time-series images /
FMRI is a very popular method for researchers and clinicians to image human brain activity in response to given mental tasks. This book presents a comprehensive review of the methods for computing activity maps, while providing an intuitive and mathematical outline of how each method works. The appr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Cambridge University Press,
2007.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Sarty, Gordon E., |d 1960- | |
| 245 | 1 | 0 | |a Computing brain activity maps from fMRI time-series images / |c Gordon E. Sarty. |
| 260 | |a New York : |b Cambridge University Press, |c 2007. | ||
| 300 | |a 1 online resource (x, 187 pages, 4 unnumbered pages of plates) : |b illustrations (some color) | ||
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| 504 | |a Includes bibliographical references and index. | ||
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| 520 | |a FMRI is a very popular method for researchers and clinicians to image human brain activity in response to given mental tasks. This book presents a comprehensive review of the methods for computing activity maps, while providing an intuitive and mathematical outline of how each method works. The approaches include statistical parametric maps (SPM), hemodynamic response modeling and deconvolution, Bayesian, Fourier and nonparametric methods. The newest activity maps provide information on regional connectivity and include principal and independent component analysis, crisp and fuzzy clustering, structural equation modeling, and dynamic causal modeling. Preprocessing and experimental design issues are discussed with references made to the software available for implementing the various methods. Aimed at graduate students and researchers, it will appeal to anyone with an interest in fMRI and who is looking to expand their perspectives of this technique. | ||
| 505 | 0 | |a Cover; Half-title; Title; Copyright; Dedication; Contents; Preface; 1 Introduction; 2 Image preprocessing; 3 Experimental designs; 4 Univariate approaches: activation maps; 5 Multivariate approaches: connectivity maps; 6 Conclusion; References; Index | |
| 546 | |a English. | ||
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| 650 | 0 | |a Computational neuroscience. | |
| 650 | 0 | |a Brain mapping |x Data processing. | |
| 650 | 0 | |a Brain mapping |x Mathematics. | |
| 650 | 6 | |a Neurosciences informatiques. | |
| 650 | 6 | |a Cartographie cérébrale |x Informatique. | |
| 650 | 6 | |a Cartographie cérébrale |x Mathématiques. | |
| 650 | 7 | |a MEDICAL |x Neuroscience. |2 bisacsh | |
| 650 | 7 | |a PSYCHOLOGY |x Neuropsychology. |2 bisacsh | |
| 650 | 7 | |a Brain mapping |x Mathematics |2 fast | |
| 650 | 7 | |a Computational neuroscience |2 fast | |
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