Statistical Analysis Of Fmri Data

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The Statistical Analysis of Functional MRI Data

Nicole Lazar
The Statistical Analysis of Functional MRI Data Book PDF

Author : Nicole Lazar
Publisher : Springer Science & Business Media
Page : 302 pages
File Size : 47,6 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, second edition

F. Gregory Ashby
Statistical Analysis of fMRI Data second edition Book PDF

Author : F. Gregory Ashby
Publisher : MIT Press
Page : 569 pages
File Size : 40,5 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.

Handbook of Functional MRI Data Analysis

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

Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Page : 0 pages
File Size : 40,6 Mb
Release : 2024-02-08
Category : Medical
ISBN : 1009481169

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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 for 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.

fMRI

Stephan Ulmer,Olav Jansen
fMRI Book PDF

Author : Stephan Ulmer,Olav Jansen
Publisher : Springer Science & Business Media
Page : 320 pages
File Size : 52,8 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.

Statistical Parametric Mapping: The Analysis of Functional Brain Images

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

Author : William D. Penny,Karl J. Friston,John T. Ashburner,Stefan J. Kiebel,Thomas E. Nichols
Publisher : Elsevier
Page : 689 pages
File Size : 55,5 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

Handbook of Neuroimaging Data Analysis

Hernando Ombao,Martin Lindquist,Wesley Thompson,John Aston
Handbook of Neuroimaging Data Analysis Book PDF

Author : Hernando Ombao,Martin Lindquist,Wesley Thompson,John Aston
Publisher : CRC Press
Page : 702 pages
File Size : 53,9 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.

Introduction to Neuroimaging Analysis

Mark Jenkinson,Michael Chappell
Introduction to Neuroimaging Analysis Book PDF

Author : Mark Jenkinson,Michael Chappell
Publisher : Oxford University Press
Page : 277 pages
File Size : 50,5 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

Patrick Mair
Modern Psychometrics with R Book PDF

Author : Patrick Mair
Publisher : Springer
Page : 458 pages
File Size : 42,6 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.

Introduction to Functional Magnetic Resonance Imaging

Richard B. Buxton
Introduction to Functional Magnetic Resonance Imaging Book PDF

Author : Richard B. Buxton
Publisher : Cambridge University Press
Page : 479 pages
File Size : 53,7 Mb
Release : 2009-08-27
Category : Medical
ISBN : 9780521899956

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Introduction to Functional Magnetic Resonance Imaging by Richard B. Buxton Pdf

This is the second edition of a useful introductory book on a technique that has revolutionized neuroscience, specifically cognitive neuroscience. Functional magnetic resonance imaging (fMRI) has now become the standard tool for studying the brain systems involved in cognitive and emotional processing. It has also been a major factor in the consilience of the fields of neurobiology, cognitive psychology, social psychology, radiology, physics, mathematics, engineering, and even philosophy. Written and edited by a clinician-scientist in the field, this book remains an excellent user's guide to t

Neuroscience Databases

Rolf Kötter
Neuroscience Databases Book PDF

Author : Rolf Kötter
Publisher : Springer Science & Business Media
Page : 317 pages
File Size : 51,6 Mb
Release : 2012-12-06
Category : Medical
ISBN : 9781461510796

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Neuroscience Databases by Rolf Kötter Pdf

Neuroscience Databases: A Practical Guide is the first book providing a comprehensive overview of these increasingly important databases. This volume makes the results of the Human Genome Project and other recent large-scale initiatives in the neurosciences available to a wider community. It extends the scope of bioinformatics from the molecular to the cellular, microcircuitry and systems levels, dealing for the first time with complex neuroscientific issues and leading the way to a new culture of data sharing and data mining necessary to successfully tackle neuroscience questions. Aimed at the novice user who wants to access the data, it provides clear and concise instructions on how to download the available data sets and how to use the software with a minimum of technical detail with most chapters written by the database creators themselves.

Handbook of Functional MRI Data Analysis

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

Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Page : 239 pages
File Size : 40,6 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.

Cancer Mortality and Morbidity Patterns in the U.S. Population

K.G. Manton,Igor Akushevich,Julia Kravchenko
Cancer Mortality and Morbidity Patterns in the U S Population Book PDF

Author : K.G. Manton,Igor Akushevich,Julia Kravchenko
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 50,6 Mb
Release : 2008-12-28
Category : Medical
ISBN : 9780387781938

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Cancer Mortality and Morbidity Patterns in the U.S. Population by K.G. Manton,Igor Akushevich,Julia Kravchenko Pdf

The purpose of this book is to examine the etiology of cancer in large human populations using mathematical models developed from an inter-disciplinary perspective of the population epidemiological, biodemographic, genetic and physiological basis of the mechanisms of cancer initiation and progression. In addition an investigation of how the basic mechanism of tumor initiation relates to general processes of senescence and to other major chronic diseases (e.g., heart disease and stroke) will be conducted.

Statistical Techniques for Neuroscientists

Young K. Truong,Mechelle M. Lewis
Statistical Techniques for Neuroscientists Book PDF

Author : Young K. Truong,Mechelle M. Lewis
Publisher : CRC Press
Page : 349 pages
File Size : 46,8 Mb
Release : 2016-10-04
Category : Mathematics
ISBN : 9781315356754

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Statistical Techniques for Neuroscientists by Young K. Truong,Mechelle M. Lewis Pdf

Statistical Techniques for Neuroscientists introduces new and useful methods for data analysis involving simultaneous recording of neuron or large cluster (brain region) neuron activity. The statistical estimation and tests of hypotheses are based on the likelihood principle derived from stationary point processes and time series. Algorithms and software development are given in each chapter to reproduce the computer simulated results described therein. The book examines current statistical methods for solving emerging problems in neuroscience. These methods have been applied to data involving multichannel neural spike train, spike sorting, blind source separation, functional and effective neural connectivity, spatiotemporal modeling, and multimodal neuroimaging techniques. The author provides an overview of various methods being applied to specific research areas of neuroscience, emphasizing statistical principles and their software. The book includes examples and experimental data so that readers can understand the principles and master the methods. The first part of the book deals with the traditional multivariate time series analysis applied to the context of multichannel spike trains and fMRI using respectively the probability structures or likelihood associated with time-to-fire and discrete Fourier transforms (DFT) of point processes. The second part introduces a relatively new form of statistical spatiotemporal modeling for fMRI and EEG data analysis. In addition to neural scientists and statisticians, anyone wishing to employ intense computing methods to extract important features and information directly from data rather than relying heavily on models built on leading cases such as linear regression or Gaussian processes will find this book extremely helpful.

Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN

Alfonso Nieto-Castanon
Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN Book PDF

Author : Alfonso Nieto-Castanon
Publisher : Hilbert Press
Page : 108 pages
File Size : 49,8 Mb
Release : 2020-01-31
Category : Science
ISBN : 9780578644004

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Handbook of functional connectivity Magnetic Resonance Imaging methods in CONN by Alfonso Nieto-Castanon Pdf

This handbook describes methods for processing and analyzing functional connectivity Magnetic Resonance Imaging (fcMRI) data using the CONN toolbox, a popular freely-available functional connectivity analysis software. Content description [excerpt from introduction] The first section (fMRI minimal preprocessing pipeline) describes standard and advanced preprocessing steps in fcMRI. These steps are aimed at correcting or minimizing the influence of well-known factors affecting the quality of functional and anatomical MRI data, including effects arising from subject motion within the scanner, temporal and spatial image distortions due to the sequential nature of the scanning acquisition protocol, and inhomogeneities in the scanner magnetic field, as well as anatomical differences among subjects. Even after these conventional preprocessing steps, the measured blood-oxygen-level-dependent (BOLD) signal often still contains a considerable amount of noise from a combination of physiological effects, outliers, and residual subject-motion factors. If unaccounted for, these factors would introduce very strong and noticeable biases in all functional connectivity measures. The second section (fMRI denoising pipeline) describes standard and advanced denoising procedures in CONN that are used to characterize and remove the effect of these residual non-neural noise sources. Functional connectivity Magnetic Resonance Imaging studies attempt to quantify the level of functional integration across different brain areas. The third section (functional connectivity measures) describes a representative set of functional connectivity measures available in CONN, each focusing on different indicators of functional integration, including seed-based connectivity measures, ROI-to-ROI measures, graph theoretical approaches, network-based measures, and dynamic connectivity measures. Second-level analyses allow researchers to make inferences about properties of groups or populations, by generalizing from the observations of only a subset of subjects in a study. The fourth section (General Linear Model) describes the mathematics behind the General Linear Model (GLM), the approach used in CONN for all second-level analyses of functional connectivity measures. The description includes GLM model definition, parameter estimation, and hypothesis testing framework, as well as several practical examples and general guidelines aimed at helping researchers use this method to answer their specific research questions. The last section (cluster-level inferences) details several approaches implemented in CONN that allow researchers to make meaningful inferences from their second-level analysis results while providing appropriate family-wise error control (FWEC), whether in the context of voxel-based measures, such as when studying properties of seed-based maps across multiple subjects, or in the context of ROI-to-ROI measures, such as when studying properties of ROI-to-ROI connectivity matrices across multiple subjects.

Pattern Analysis of the Human Connectome

Dewen Hu,Ling-Li Zeng
Pattern Analysis of the Human Connectome Book PDF

Author : Dewen Hu,Ling-Li Zeng
Publisher : Springer Nature
Page : 258 pages
File Size : 51,7 Mb
Release : 2019-11-12
Category : Medical
ISBN : 9789813295230

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Pattern Analysis of the Human Connectome by Dewen Hu,Ling-Li Zeng Pdf

This book presents recent advances in pattern analysis of the human connectome. The human connectome, measured by magnetic resonance imaging at the macroscale, provides a comprehensive description of how brain regions are connected. Based on machine learning methods, multiviarate pattern analysis can directly decode psychological or cognitive states from brain connectivity patterns. Although there are a number of works with chapters on conventional human connectome encoding (brain-mapping), there are few resources on human connectome decoding (brain-reading). Focusing mainly on advances made over the past decade in the field of manifold learning, sparse coding, multi-task learning, and deep learning of the human connectome and applications, this book helps students and researchers gain an overall picture of pattern analysis of the human connectome. It also offers valuable insights for clinicians involved in the clinical diagnosis and treatment evaluation of neuropsychiatric disorders.