November 27, 2020

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Statistical Parametric Mapping: The Analysis of Functional Brain Images

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
Release Date : 2011-04-28
Category : Medical
Total pages :656
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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

Statistical Parametric Mapping

Statistical Parametric Mapping
Author : Karl J. Friston
Publisher : Elsevier
Release Date : 2007
Category : Medical
Total pages :647
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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.

The Use of Statistical Parametric Mapping for Longitudinal PET

The Use of Statistical Parametric Mapping for Longitudinal PET
Author : Panatsada Awikunprasert
Publisher : Unknown
Release Date : 2010
Category :
Total pages :129
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Empirical Validation of Statistical Parametric Mapping for Group Imaging of Fast Neural Activity Using Electrical Impedance Tomography

Empirical Validation of Statistical Parametric Mapping for Group Imaging of Fast Neural Activity Using Electrical Impedance Tomography
Author : Anonim
Publisher : Unknown
Release Date : 2016
Category :
Total pages :129
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Abstract: Electrical impedance tomography (EIT) allows for the reconstruction of internal conductivity from surface measurements. A change in conductivity occurs as ion channels open during neural activity, making EIT a potential tool for functional brain imaging. EIT images can have >10 000 voxels, which means statistical analysis of such images presents a substantial multiple testing problem. One way to optimally correct for these issues and still maintain the flexibility of complicated experimental designs is to use random field theory. This parametric method estimates the distribution of peaks one would expect by chance in a smooth random field of a given size. Random field theory has been used in several other neuroimaging techniques but never validated for EIT images of fast neural activity, such validation can be achieved using non-parametric techniques. Both parametric and non-parametric techniques were used to analyze a set of 22 images collected from 8 rats. Significant group activations were detected using both techniques (corrected p

Neuroscience Databases

Neuroscience Databases
Author : Rolf Kötter
Publisher : Springer Science & Business Media
Release Date : 2012-12-06
Category : Medical
Total pages :310
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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

Handbook of Functional MRI Data Analysis
Author : Russell A. Poldrack,Jeanette A. Mumford,Thomas E. Nichols
Publisher : Cambridge University Press
Release Date : 2011-08-22
Category : Medical
Total pages :129
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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.

Handbook of Mathematical Geosciences

Handbook of Mathematical Geosciences
Author : B.S. Daya Sagar,Qiuming Cheng,Frits Agterberg
Publisher : Springer
Release Date : 2018-06-25
Category : Science
Total pages :914
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This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.

Human Brain Function

Human Brain Function
Author : Karl J. Friston,Christopher D. Frith,Raymond J. Dolan,Cathy J. Price,Semir Zeki,John T. Ashburner,William D. Penny
Publisher : Elsevier
Release Date : 2004-01-26
Category : Medical
Total pages :1144
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This updated second edition provides the state of the art perspective of the theory, practice and application of modern non-invasive imaging methods employed in exploring the structural and functional architecture of the normal and diseased human brain. Like the successful first edition, it is written by members of the Functional Imaging Laboratory - the Wellcome Trust funded London lab that has contributed much to the development of brain imaging methods and their application in the last decade. This book should excite and intrigue anyone interested in the new facts about the brain gained from neuroimaging and also those who wish to participate in this area of brain science. * Represents an almost entirely new book from 1st edition, covering the rapid advances in methods and in understanding of how human brains are organized * Reviews major advances in cognition, perception, emotion and action * Introduces novel experimental designs and analytical techniques made possible with fMRI, including event-related designs and non-linear analysis

Functional Neuroimaging

Functional Neuroimaging
Author : Robert W. Thatcher,M. Hallett,T. Zeffiro,E. Roy John
Publisher : Unknown
Release Date : 1994
Category : Medical
Total pages :303
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The 1990s have been designated by congress and the president as the decade of the brain, in part due to recognition of the expansion of knowledge and technology in the realm of neuroscience. Functional neuroimaging encompasses the technique of electrophysiology (EEG), magnetoecephalography (MEG), magnetic resonance imaging (MRI), and positron emission tomography (PET). Through these techniques, high resolution, 3 dimensional anatomical information can be obtained ofthe brain and it's functioning in normal and diseases states. Neuroscientists everywhere use neuroimaging in research, and these techniques are also used regularly by clinicians, and increasingly by biopsychologists. Given the increase in the number of techniques, and their diversity of applications, there is a need for a comprehensive volume to address both the technology and function of their use. Key Features * Addresses the technical problems of image registration * Compares different approaches to inter-subject and intra-subject analysis * Explores the synergestic advantages of multivolume integration * Divided into four sections devoted to relevant, timely issues

Computing Brain Activity Maps from FMRI Time-Series Images

Computing Brain Activity Maps from FMRI Time-Series Images
Author : Gordon E. Sarty
Publisher : Cambridge University Press
Release Date : 2007
Category : Computers
Total pages :187
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A review of the methods used for analyzing fMRI data, with mathematical outlines of how each method works, and the software available for developing the data. Aimed at graduate students and research investigators.

Principles of Brain Dynamics

Principles of Brain Dynamics
Author : Mikhail I. Rabinovich,Karl J. Friston,Pablo Varona
Publisher : MIT Press
Release Date : 2012-07-06
Category : Medical
Total pages :360
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Experimental and theoretical approaches to global brain dynamics that draw on the latest research in the field. The consideration of time or dynamics is fundamental for all aspects of mental activity—perception, cognition, and emotion—because the main feature of brain activity is the continuous change of the underlying brain states even in a constant environment. The application of nonlinear dynamics to the study of brain activity began to flourish in the 1990s when combined with empirical observations from modern morphological and physiological observations. This book offers perspectives on brain dynamics that draw on the latest advances in research in the field. It includes contributions from both theoreticians and experimentalists, offering an eclectic treatment of fundamental issues. Topics addressed range from experimental and computational approaches to transient brain dynamics to the free-energy principle as a global brain theory. The book concludes with a short but rigorous guide to modern nonlinear dynamics and their application to neural dynamics.

Statistical Techniques for Neuroscientists

Statistical Techniques for Neuroscientists
Author : Young K. Truong,Mechelle M. Lewis
Publisher : CRC Press
Release Date : 2016-10-04
Category : Mathematics
Total pages :415
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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.

Human Brain Function

Human Brain Function
Author : Karl J. Friston,Christopher D. Frith,Raymond J. Dolan,Cathy J. Price,Semir Zeki,John T. Ashburner,William D. Penny
Publisher : Elsevier
Release Date : 2004-01-26
Category : Medical
Total pages :1144
GET BOOK

This updated second edition provides the state of the art perspective of the theory, practice and application of modern non-invasive imaging methods employed in exploring the structural and functional architecture of the normal and diseased human brain. Like the successful first edition, it is written by members of the Functional Imaging Laboratory - the Wellcome Trust funded London lab that has contributed much to the development of brain imaging methods and their application in the last decade. This book should excite and intrigue anyone interested in the new facts about the brain gained from neuroimaging and also those who wish to participate in this area of brain science. * Represents an almost entirely new book from 1st edition, covering the rapid advances in methods and in understanding of how human brains are organized * Reviews major advances in cognition, perception, emotion and action * Introduces novel experimental designs and analytical techniques made possible with fMRI, including event-related designs and non-linear analysis

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis

The Oxford Handbook of Quantitative Methods, Vol. 2: Statistical Analysis
Author : Todd D. Little
Publisher : Oxford University Press
Release Date : 2013-02-01
Category : Psychology
Total pages :784
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Research today demands the application of sophisticated and powerful research tools. Fulfilling this need, The Oxford Handbook of Quantitative Methods is the complete tool box to deliver the most valid and generalizable answers to todays complex research questions. It is a one-stop source for learning and reviewing current best-practices in quantitative methods as practiced in the social, behavioral, and educational sciences. Comprising two volumes, this handbook covers a wealth of topics related to quantitative research methods. It begins with essential philosophical and ethical issues related to science and quantitative research. It then addresses core measurement topics before delving into the design of studies. Principal issues related to modern estimation and mathematical modeling are also detailed. Topics in the handbook then segway into the realm of statistical inference and modeling with chapters dedicated to classical approaches as well as modern latent variable approaches. Numerous chapters associated with longitudinal data and more specialized techniques round out this broad selection of topics. Comprehensive, authoritative, and user-friendly, this two-volume set will be an indispensable resource for serious researchers across the social, behavioral, and educational sciences.

Random Fields and Geometry

Random Fields and Geometry
Author : R. J. Adler,Jonathan E. Taylor
Publisher : Springer Science & Business Media
Release Date : 2009-01-29
Category : Mathematics
Total pages :454
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This monograph is devoted to a completely new approach to geometric problems arising in the study of random fields. The groundbreaking material in Part III, for which the background is carefully prepared in Parts I and II, is of both theoretical and practical importance, and striking in the way in which problems arising in geometry and probability are beautifully intertwined. "Random Fields and Geometry" will be useful for probabilists and statisticians, and for theoretical and applied mathematicians who wish to learn about new relationships between geometry and probability. It will be helpful for graduate students in a classroom setting, or for self-study. Finally, this text will serve as a basic reference for all those interested in the companion volume of the applications of the theory.