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Computing Brain Activity Maps from fMRI Time-Series Images

Computing Brain Activity Maps from fMRI Time-Series Images

Computing Brain Activity Maps from fMRI Time-Series Images
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Computing Brain Activity Maps from fMRI Time-Series Images Hardback - 2007 - 1st Edition

by Sarty, Gordon E

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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Details

  • Title Computing Brain Activity Maps from fMRI Time-Series Images
  • Author Sarty, Gordon E
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition Used - Good
  • Pages 198
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge
  • Publication date 2007
  • Illustrated Yes
  • Bookseller's Inventory # 0521868262.G
  • ISBN 9780521868266 / 0521868262
  • Weight 1.26 lbs (0.57 kg)
  • Dimensions 9.97 x 6.97 x 0.6 in (25.32 x 17.70 x 1.52 cm)
  • Category Medical / Nursing
  • Library of Congress subjects Computational neuroscience, Brain mapping - Data processing
  • Library of Congress Catalogue Number 2007295350
  • Dewey Decimal Code 612.820
  • Quantity available 1

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Reader reviews for Computing Brain Activity Maps from fMRI Time-Series Images

From the publisher

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.
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