8 edition of Exploratory Analysis and Data Modeling in Functional Neuroimaging (Neural Information Processing) found in the catalog.
December 2, 2002
by The MIT Press
Written in English
|Contributions||Manfred Spitzer (Foreword), Friedrich T. Sommer (Editor), Andrzej Wichert (Editor)|
|The Physical Object|
|Number of Pages||352|
Bayesian models for functional magnetic resonance imaging data analysis Linlin Zhang,1 Michele Guindani2 and Marina Vannucci1∗ Functional magnetic resonance imaging (fMRI), a noninvasive . 15 Lei Huang, Philip T. Reiss, Luo Xiao, Vadim Zipunnikov, Martin A. Lindquist, Ciprian M. Crainiceanu, Two-way principal component analysis for matrix-variate data, with an application to functional .
Deterministic and stochastic features of fMRI data: implications for data averaging. In ``Exploratory analysis and data modeling in functional neuroimaging'' , , Martin J. . Tools of the Trade Meta-analysis of functional neuroimaging data: current and future directions Tor D. Wager,1 Martin Lindquist,2 and Lauren Kaplan1 1Department of Psychology, Columbia University and .
1 Neuroimaging: Overview of Methods and Applications Lee Ryan, Ph.D.1,3 and Gene E. Alexander, Ph.D.2,3 1Cognition and Neuroimaging Laboratories, Departments of Psychology and Neurology, File Size: KB. Functional Neuroimaging: Experimental Design 3 chance. In recent years, an alternative has been provided in the form of data-driven approaches which make no a priori assumptions about the .
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Get this from a library. Exploratory analysis and data modeling in functional neuroimaging. [Friedrich T Sommer; Andrzej Wichert;] -- This book provides a survey of theoretical and computational. An overview of theoretical and computational approaches to neuroimaging.
Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission tomography), EEG (electro-encephalogram), and MEG (magneto-encephalogram) allow researchers to record activity in the working brain and draw inferences about how the brain functions. This book. Exploratory analysis and data modeling in functional neuroimaging.
Cambridge, Mass.: MIT Press, © (DLC) (OCoLC) Material Type: Document, Internet resource:. Exploratory data analysis in functional neuroimaging. that could ultimately be used for gaining a better physiological modeling of the data.
Exploratory data analysis is an attitude, a. Click Here ?book=Books Exploratory Analysis and Data Modeling in Functional Neuroimaging (Neural Information Processing) Full Online. Home Browse by Title Books Exploratory analysis and data modeling in functional neuroimaging Independent components of magnetoencephalography: localization.
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Sommer, A. Wichert, pp Cite this publication Friedrich T Sommer. Exploratory Analysis and Data Modeling in Functional Neuroimaging Friedrich T. Sommer and Andrzej Wichert An overview of theoretical and computational approaches to neuroimaging. Recent advances now compute coactivation-based connectivity, connectivity-based functional parcellation, and complex network models powered from data sets representing tens of thousands of Cited by: However, in neuroimaging, where the human and computational costs involved in data analysis are relatively high, it is desirable to be able to make top-level inferences using the results of separate Cited by: Two categories of data analysis are employed in functional neuroimaging to reveal statistical regulari-ties in data that can be associated with brain function: (i) hypothesis-driven (inferential or model-based).
Mark Jenkinson is a co-founder and the principal developer of FSL (FMRIB Software Library) and has written numerous tools for analysis of structural, diffusion and functional data.
He has been a part of /5(11). Book review Full text access Exploratory Analysis and Data Modeling in Functional Neuroimaging, Friedrich T. Sommer, Andrzej Wichert (Eds.). The MIT Press (), $, ISBN: The massive data structures and complex patterns of correlations pose challenges for many conventional statistical methods.
These (and other) complications give rise to the development of new statistical Cited by: Eds: F. Sommer, A. Wichert: Exploratory analysis and data modeling in functional neuroimaging.
MIT Press, Boston, MA () Tool for analysis of functional neuroimaging: The brain positioning software. Handbook of Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind Cited by: fMRI vs PET vs SPECT - functional neuroimaging.
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Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging of brain function. The Handbook of Functional MRI Data Analysis provides a comprehensive and practical. specific cerebral regions basing on their functional connectivity.
The present dissertation is aimed to introduce a novel approach to the multi-modal functional imaging of neural sources of activity, by Author: Fabio Meneghini. Some examples:, and. Other remarks. Panel analysis is a dynamic (longitudinal) form of path analysis, see, e.g., Easdon and McIntosh () for an application in functional neuroimaging.
Büchel .The Coordinate-Based Meta-Analysis of Neuroimaging Data Samartsidis, Pantelis, Montagna, Silvia, Johnson, Timothy D., and Nichols, Thomas E., Statistical Science, ; Statistical challenges in the .Hansen LK, Purushotham A, Kim S. Testing competing hypotheses about single-trial fMRI.
In: Sommer FT, Wichert A, editors. Exploratory analysis and data modeling in functional neuroimaging.