Statistical Analysis Of Fmri Data

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The Statistical Analysis of Functional MRI Data

Author : Nicole Lazar
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 41,8 Mb
Release : 2008-06-10
Category : Medical
ISBN : 9780387781914

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The Statistical Analysis of Functional MRI Data by Nicole Lazar Pdf

The study of brain function is one of the most fascinating pursuits of m- ern science. Functional neuroimaging is an important component of much of the current research in cognitive, clinical, and social psychology. The exci- ment of studying the brain is recognized in both the popular press and the scienti?c community. In the pages of mainstream publications, including The New York Times and Wired, readers can learn about cutting-edge research into topics such as understanding how customers react to products and - vertisements (“If your brain has a ‘buy button,’ what pushes it?”, The New York Times,October19,2004),howviewersrespondtocampaignads(“Using M. R. I. ’s to see politics on the brain,” The New York Times, April 20, 2004; “This is your brain on Hillary: Political neuroscience hits new low,” Wired, November 12,2007),howmen and womenreactto sexualstimulation (“Brain scans arouse researchers,”Wired, April 19, 2004), distinguishing lies from the truth (“Duped,” The New Yorker, July 2, 2007; “Woman convicted of child abuse hopes fMRI can prove her innocence,” Wired, November 5, 2007), and even what separates “cool” people from “nerds” (“If you secretly like Michael Bolton, we’ll know,” Wired, October 2004). Reports on pathologies such as autism, in which neuroimaging plays a large role, are also common (for - stance, a Time magazine cover story from May 6, 2002, entitled “Inside the world of autism”).

Statistical Analysis of FMRI Data

Author : F. Gregory Ashby
Publisher : MIT Press
Page : 349 pages
File Size : 47,5 Mb
Release : 2011
Category : Business & Economics
ISBN : 9780262015042

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Statistical Analysis of FMRI Data by F. Gregory Ashby Pdf

An overview of statistical methods for analyzing data from fMRI experiments.

Statistical Analysis of fMRI Data, second edition

Author : F. Gregory Ashby
Publisher : MIT Press
Page : 569 pages
File Size : 54,7 Mb
Release : 2019-09-17
Category : Medical
ISBN : 9780262354066

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Statistical Analysis of fMRI Data, second edition by F. Gregory Ashby Pdf

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for fMRI experiments, covering every step—from preprocessing to advanced methods for assessing functional connectivity—as well as the most popular multivariate approaches. The goal is not to describe which buttons to push in the popular software packages but to help researchers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The field of fMRI research has advanced dramatically in recent years, in both methodology and technology, and this second edition has been completely revised and updated. Six new chapters cover experimental design, functional connectivity analysis through the methods of psychophysiological interactions and beta-series regression, decoding using multi-voxel pattern analysis, dynamic causal modeling, and representational similarity analysis. Other chapters offer new material on recently discovered problems related to head movements, the multivariate GLM, meta-analysis, and other topics. All complex derivations now appear at the end of the relevant chapter to improve readability. A new appendix describes how to build a design matrix with effect coding for group analysis. As in the first edition, MATLAB code is provided with which readers can implement many of the methods described.

Handbook of Functional MRI Data Analysis

Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Page : 239 pages
File Size : 50,5 Mb
Release : 2011-08-22
Category : Medical
ISBN : 9781139498364

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Handbook of Functional MRI Data Analysis by Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols Pdf

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. 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 processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

Statistical Analysis of FMRI Data

Author : Yongmei Chen
Publisher : Unknown
Page : 190 pages
File Size : 40,5 Mb
Release : 2002
Category : Magnetic resonance imaging
ISBN : OCLC:50325599

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Statistical Analysis of FMRI Data by Yongmei Chen Pdf

Handbook of Neuroimaging Data Analysis

Author : Hernando Ombao,Martin Lindquist,Wesley Thompson,John Aston
Publisher : CRC Press
Page : 702 pages
File Size : 55,5 Mb
Release : 2016-11-18
Category : Mathematics
ISBN : 9781482220988

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Handbook of Neuroimaging Data Analysis by Hernando Ombao,Martin Lindquist,Wesley Thompson,John Aston Pdf

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering, biomedical engineering, applied mathematics, physics, and radiology, the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph.D. students in statistics, biostatistics, psychology, neuroscience, and computer science.

Statistical Analysis of fMRI Data, second edition

Author : F. Gregory Ashby
Publisher : MIT Press
Page : 569 pages
File Size : 48,5 Mb
Release : 2019-09-17
Category : Medical
ISBN : 9780262042680

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Statistical Analysis of fMRI Data, second edition by F. Gregory Ashby Pdf

A guide to all aspects of experimental design and data analysis for fMRI experiments, completely revised and updated for the second edition. Functional magnetic resonance imaging (fMRI), which allows researchers to observe neural activity in the human brain noninvasively, has revolutionized the scientific study of the mind. An fMRI experiment produces massive amounts of highly complex data for researchers to analyze. This book describes all aspects of experimental design and data analysis for fMRI experiments, covering every step—from preprocessing to advanced methods for assessing functional connectivity—as well as the most popular multivariate approaches. The goal is not to describe which buttons to push in the popular software packages but to help researchers understand the basic underlying logic, the assumptions, the strengths and weaknesses, and the appropriateness of each method. The field of fMRI research has advanced dramatically in recent years, in both methodology and technology, and this second edition has been completely revised and updated. Six new chapters cover experimental design, functional connectivity analysis through the methods of psychophysiological interactions and beta-series regression, decoding using multi-voxel pattern analysis, dynamic causal modeling, and representational similarity analysis. Other chapters offer new material on recently discovered problems related to head movements, the multivariate GLM, meta-analysis, and other topics. All complex derivations now appear at the end of the relevant chapter to improve readability. A new appendix describes how to build a design matrix with effect coding for group analysis. As in the first edition, MATLAB code is provided with which readers can implement many of the methods described.

Template Free Methods for the Statistical Analysis of FMRI Data

Author : William Frederick Auffermann
Publisher : Unknown
Page : 258 pages
File Size : 51,7 Mb
Release : 2002
Category : Magnetic resonance imaging
ISBN : MINN:31951P006041150

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Template Free Methods for the Statistical Analysis of FMRI Data by William Frederick Auffermann Pdf

Statistical Parametric Mapping: The Analysis of Functional Brain Images

Author : William D. Penny,Karl J. Friston,John T. Ashburner,Stefan J. Kiebel,Thomas E. Nichols
Publisher : Elsevier
Page : 689 pages
File Size : 45,6 Mb
Release : 2011-04-28
Category : Psychology
ISBN : 9780080466507

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Statistical Parametric Mapping: The Analysis of Functional Brain Images by William D. Penny,Karl J. Friston,John T. Ashburner,Stefan J. Kiebel,Thomas E. Nichols Pdf

In an age where the amount of data collected from brain imaging is increasing constantly, it is of critical importance to analyse those data within an accepted framework to ensure proper integration and comparison of the information collected. This book describes the ideas and procedures that underlie the analysis of signals produced by the brain. The aim is to understand how the brain works, in terms of its functional architecture and dynamics. This book provides the background and methodology for the analysis of all types of brain imaging data, from functional magnetic resonance imaging to magnetoencephalography. Critically, Statistical Parametric Mapping provides a widely accepted conceptual framework which allows treatment of all these different modalities. This rests on an understanding of the brain's functional anatomy and the way that measured signals are caused experimentally. The book takes the reader from the basic concepts underlying the analysis of neuroimaging data to cutting edge approaches that would be difficult to find in any other source. Critically, the material is presented in an incremental way so that the reader can understand the precedents for each new development. This book will be particularly useful to neuroscientists engaged in any form of brain mapping; who have to contend with the real-world problems of data analysis and understanding the techniques they are using. It is primarily a scientific treatment and a didactic introduction to the analysis of brain imaging data. It can be used as both a textbook for students and scientists starting to use the techniques, as well as a reference for practicing neuroscientists. The book also serves as a companion to the software packages that have been developed for brain imaging data analysis. - An essential reference and companion for users of the SPM software - Provides a complete description of the concepts and procedures entailed by the analysis of brain images - Offers full didactic treatment of the basic mathematics behind the analysis of brain imaging data - Stands as a compendium of all the advances in neuroimaging data analysis over the past decade - Adopts an easy to understand and incremental approach that takes the reader from basic statistics to state of the art approaches such as Variational Bayes - Structured treatment of data analysis issues that links different modalities and models - Includes a series of appendices and tutorial-style chapters that makes even the most sophisticated approaches accessible

fMRI

Author : Stephan Ulmer,Olav Jansen
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 53,9 Mb
Release : 2013-06-12
Category : Medical
ISBN : 9783642343421

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fMRI by Stephan Ulmer,Olav Jansen Pdf

Over the past two decades, fMRI has evolved into an invaluable clinical tool for routine brain imaging. This book provides a state of the art overview of fMRI and its use in clinical practice. Experts in the field share their knowledge and explain how to overcome diverse potential technical barriers and problems. Starting from the very basics on the origin of the BOLD signal, the book covers technical issues, anatomical landmarks, the full range of clinical applications, methods of statistical analysis, and special issues in various clinical fields. Comparisons are made with other brain mapping techniques, such as DTI, PET, TMS, EEG, and MEG, and their combined use with fMRI is also discussed. Since the first edition, original chapters have been updated and new chapters added, covering both novel aspects of analysis and further important clinical applications.

A Client-server Software Application for Statistical Analysis of FMRI Data

Author : Vijay Singh Choudhary
Publisher : Unknown
Page : 132 pages
File Size : 42,5 Mb
Release : 2004
Category : Electronic
ISBN : OCLC:56017734

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A Client-server Software Application for Statistical Analysis of FMRI Data by Vijay Singh Choudhary Pdf

Statistical analysis methods used for interrogating functional magnetic resonance imaging (fMRI) data are complex and continually evolving. There exist a scarcity of educational material for fMRI. Thus, an instructional based software application was developed for teaching the fundamentals of statistical analysis in fMRI. For wider accessibility, the application was designed with a client/server architecture. The Java client has a layered design for flexibility and a nice Graphical User Interface (GUI) for user interaction. The application client can be deployed to multiple platforms in heterogeneous and distributed network. The future possibility of adding real-time data processing capabilities in the server led us to choose CGI/Perl/C as server side technologies. The client and server communicates via a simple protocol through the Apache Web Server. The application provides students with opportunities for hands-on exploration of the key concepts using phantom data as well as sample human fMRI data. The simulation allows students to control relevant parameters and observe intermediate results for each step in the analysis stream (spatial smoothing, motion correction, statistical model parameter selection etc.). Eventually this software tool and the accompanying tutorial will be disseminated to researchers across the globe via Biomedical Informatics Research Network (BIRN) portal.

Introduction to Neuroimaging Analysis

Author : Mark Jenkinson,Michael Chappell
Publisher : Oxford University Press
Page : 277 pages
File Size : 49,8 Mb
Release : 2018
Category : Medical
ISBN : 9780198816300

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Introduction to Neuroimaging Analysis by Mark Jenkinson,Michael Chappell Pdf

This accessible primer gives an introduction to the wide array of MRI-based neuroimaging methods that are used in research. It provides an overview of the fundamentals of what different MRI modalities measure, what artifacts commonly occur, the essentials of the analysis, and common 'pipelines'.

Modern Psychometrics with R

Author : Patrick Mair
Publisher : Springer
Page : 464 pages
File Size : 55,8 Mb
Release : 2018-09-20
Category : Social Science
ISBN : 9783319931777

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Modern Psychometrics with R by Patrick Mair Pdf

This textbook describes the broadening methodology spectrum of psychological measurement in order to meet the statistical needs of a modern psychologist. The way statistics is used, and maybe even perceived, in psychology has drastically changed over the last few years; computationally as well as methodologically. R has taken the field of psychology by storm, to the point that it can now safely be considered the lingua franca for statistical data analysis in psychology. The goal of this book is to give the reader a starting point when analyzing data using a particular method, including advanced versions, and to hopefully motivate him or her to delve deeper into additional literature on the method. Beginning with one of the oldest psychometric model formulations, the true score model, Mair devotes the early chapters to exploring confirmatory factor analysis, modern test theory, and a sequence of multivariate exploratory method. Subsequent chapters present special techniques useful for modern psychological applications including correlation networks, sophisticated parametric clustering techniques, longitudinal measurements on a single participant, and functional magnetic resonance imaging (fMRI) data. In addition to using real-life data sets to demonstrate each method, the book also reports each method in three parts-- first describing when and why to apply it, then how to compute the method in R, and finally how to present, visualize, and interpret the results. Requiring a basic knowledge of statistical methods and R software, but written in a casual tone, this text is ideal for graduate students in psychology. Relevant courses include methods of scaling, latent variable modeling, psychometrics for graduate students in Psychology, and multivariate methods in the social sciences.

Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of FMRI Data with Application to Risk Patterns

Author : Alena Mysickova
Publisher : Unknown
Page : 39 pages
File Size : 50,9 Mb
Release : 2017
Category : Electronic
ISBN : OCLC:1305402829

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Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of FMRI Data with Application to Risk Patterns by Alena Mysickova Pdf

Decision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we reanalyze functional magnetic resonance imaging (fMRI) data on 17 subjects which were exposed to an investment decision task from Mohr et al. (2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. Our goal is to capture the dynamic behavior of specific brain regions of all subjects in this high-dimensional time series data, by a flexible factor approach resulting in a low dimensional representation. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park et al. (2009) and identify task-related activations in space and dynamics in time. Further, we classify the risk attitudes of all subjects based on the estimated lowdimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects' decision behavior.