rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Statistical parametric mapping
    sub title: the analysis of funtional brain images
  name:
    name part: Friston, K. J. (Karl J.)
    role:
      role term: editor.
  name:
    name part: Ashburner, John
    role:
      role term: editor.
  name:
    name part: Kiebel, Stefan
    role:
      role term: editor.
  name:
    name part: Nichols, Thomas
    role:
      role term: editor.
  name:
    name part: Penny, William D.
    role:
      role term: editor.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    place:
      place term: Amsterdam
    place:
      place term: Boston
    publisher: Elsevier/Academic Press
    date issued: 2007
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (vii, 647 pages) : illustrations (some color)
  abstract: 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 …
  table of contents: INTRODUCTION -- A short history of SPM. -- Statistical parametric mapping. -- Modelling brain responses. -- SECTION 1: COMPUTATIONAL ANATOMY -- Rigid-body Registration. -- Nonlinear Registration. -- Segmentation. -- Voxel-based Morphometry. -- SECTION 2: GENERAL LINEAR MODELS -- The General Linear Model. -- Contrasts & Classical Inference. -- Covariance Components. -- Hierarchical models. -- Random Effects Analysis. -- Analysis of variance. -- Convolution models for fMRI. -- Efficient Experimental Design for fMRI. -- Hierarchical models for EEG/MEG. -- SECTION 3: CLASSICAL INFERENCE -- Parametric procedures for imaging. -- Random Field Theory & inference. -- Topological Inference. -- False discovery rate procedures. -- Non-parametric procedures. -- SECTION 4: BAYESIAN INFERENCE -- Empirical Bayes & hierarchical models. -- Posterior probability maps. -- Variational Bayes. -- Spatiotemporal models for fMRI. -- Spatiotemporal models for EEG. -- SECTION 5: BIOPHYSICAL MODELS -- Forward models for fMRI. -- Forward models for EEG and MEG. -- Bayesian inversion of EEG models. -- Bayesian inversion for induced responses. -- Neuronal models of ensemble dynamics. -- Neuronal models of energetics. -- Neuronal models of EEG and MEG. -- Bayesian inversion of dynamic models -- Bayesian model selection & averaging. -- SECTION 6: CONNECTIVITY -- Functional integration. -- Functional Connectivity. -- Effective Connectivity. -- Nonlinear coupling and Kernels. -- Multivariate autoregressive models. -- Dynamic Causal Models for fMRI. -- Dynamic Causal Models for EEG. -- Dynamic Causal Models & Bayesian selection. -- APPENDICES -- Linear models and inference. -- Dynamical systems. -- Expectation maximisation. -- Variational Bayes under the Laplace approximation. -- Kalman Filtering. -- Random Field Theory.
  note: edited by Karl Friston, John Ashburner, Stefan Kiebel, Thomas Nichols, William Penny.
  note: Includes bibliographical references and index.
  subject:
    topic: Brain mapping
    topic: Statistical methods
  subject:
    topic: Brain
    topic: Imaging
    topic: Statistical methods
  subject:
    topic: Brain Mapping
    topic: methods
  subject:
    topic: Image Processing, Computer-Assisted
    topic: methods
  subject:
    topic: Magnetic Resonance Imaging
    topic: methods
  subject:
    topic: Models, Neurological
  subject:
    topic: Models, Statistical
  subject:
    topic: Cartographie cérébrale
    topic: Méthodes statistiques
  subject:
    topic: Cerveau
    topic: Imagerie
    topic: Méthodes statistiques
  subject:
    topic: Online-Ressource
  subject:
    topic: Eletroencefalografia
  subject:
    topic: Hjärna
  classification: RC386.6.B7 S73 2007eb
  classification: 616.8/04754
  classification: 611.810222
  classification: 2007 C-278
  classification: WL 26.5 S797 2007
  related item:
    title info:
      title: Statistical parametric mapping
    origin info:
      publisher: Amsterdam ; Boston : Elsevier/Academic Press, 2007
      edition: 1st ed.
    identifier: (DLC) 2006933665
    identifier: (OCoLC)104803228
  identifier: 9780123725608
  identifier: 0123725607
  identifier: 9780080466507
  identifier: 0080466508
  identifier: 9786610728992
  identifier: 6610728992
  identifier: 2006933665
  identifier: 116398:116496 Elsevier Science & Technology
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 070806
    record change date: 20260326151426.7
    record identifier: in00005732624
    language of cataloging:
      language term: eng