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Computing brain activity maps from f...

Sarty, Gordon E.,

Computing brain activity maps from fMRI time-series images /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	612.820151
書名/作者:	Computing brain activity maps from fMRI time-series images // Gordon E. Sarty.
作者:	Sarty, Gordon E.,
面頁冊數:	1 online resource (x, 187 pages : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Computational neuroscience.
標題:	Brain mapping - Data processing.
標題:	Brain mapping - Mathematics.
ISBN:	9780511541704 (ebook)
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1017/CBO9780511541704

Computing brain activity maps from fMRI time-series images /
Sarty, Gordon E.,

Computing brain activity maps from fMRI time-series images /Gordon E. Sarty. - 1 online resource (x, 187 pagesdigital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

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.

ISBN: 9780511541704 (ebook)Subjects--Topical Terms:

395302
Computational neuroscience.

LC Class. No.: QP357.5 / .S276 2007

Dewey Class. No.: 612.820151

Computing brain activity maps from fMRI time-series images /
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