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Christopoulos and Stelios M. Smirnakis Advanced Brain Neuroimaging Topics in Health and Disease: Methods and Applications PDF

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Advanced Brain Neuroimaging Topics in Health and Disease: Methods and Applications Edited by T. Dorina Papageorgiou, George I. C hristopoulos and Stelios M. Smirnakis Adva nced Brain Neuroimaging Topics in Health and Disease: Methods and Applications Edite d by T. Dorina Papageorgiou, George I. Christopoulos and Stelios M. Smirnakis D3pZ4i & bhgvld, Dennixxx & rosea (for softarchive) Stole src from http://avaxho.me/blogs/exLib/ Published by AvE4EvA Copyright © 2014 All chapters are Open Access distributed under the Creative Commons Attribution 3.0 license, which allows users to download, copy and build upon published articles even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. After this work has been published by InTech, authors have the right to republish it, in whole or part, in any publication of which they are the author, and to make other personal use of the work. Any republication, referencing or personal use of the work must explicitly identify the original source. As for readers, this license allows users to download, copy and build upon published chapters even for commercial purposes, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. Notice Statements and opinions expressed in the chapters are these of the individual contributors and not necessarily those of the editors or publisher. No responsibility is accepted for the accuracy of information contained in the published chapters. The publisher assumes no responsibility for any damage or injury to persons or property arising out of the use of any materials, instructions, methods or ideas contained in the book. Publishing Process Manager Technical Editor AvE4EvA MuViMix Records Cover Designer Published online & print edition 30 May, 2014 ISBN-10 9535112031 ISBN-13 9789535112037 C ontents P reface Chapter 1 A Practical Guide to an fMRI Experiment by Nasser Kashou Chapter 2 The Neurometabolic Underpinnings of fMRI BOLD Dynamics by Christopher Tyler Chapter 3 Perfusion Based Functional MRI by Luis Hernandez-Garci a and Hesamoddin Jahanian Chapter 4 Phase Variations in fMRI Time Series Analysis: Friend or Foe? by Gisela Hagberg and Elisa Tuzzi Chapter 5 Simultaneous Measurement of fMRI and EEG – Principles and Applications by Yeji Han, Sung Suk Oh, Joong Koo Kang and HyunWook Park Chapter 6 Functional MRI of Awake Behaving Macaques Using Standard Equipment by Wim Vanduffel and Reza Farivar Chapter 7 Brain Functional Networks in the Developing Brain Using Resting BO LD by Wei Gao, Hongtu Zhou, Kelly Giovanello, J Keith Smith, Dinggang Shen, John Gilmore and Weili Lin Chapter 8 Big Challenges from the Little Brain — Imaging the Cerebellum by John Schlerf, Tobias Wiestler, Timothy Verstynen and Joern Diedrichsen Chapter 9 A Probabilistic Atlas of Human Visual Areas and Information- Theoretic Analysis of Indiv idual Variability in Their Loci by Hiroki Yamamoto Chapter 10 The Contribution of fMRI in the Study of Visual Categorization and Expertise by Natasha Sigala Contents Chapter 11 Color Sp ecificity in the Human V4 Complex – An fMRI Repetition Suppression Study by Tessa Van Leeuwen Chapter 12 Developmental Plasticity: FMRI Investigations into Human Visual Cortex by Alyssa Brewer and Brian Barton Chapter 13 Learnin g-Based Cross-Modal Plasticity in the Human Brain: Insights from Visual Deprivation fMRI by Lora Likova Chapter 14 A Systematic Approach to Visual System Rehabilitation — Population Receptive Field Analysis and Real-time Functional Magnetic Resonance Imaging Neurofeedback Methods by Dorina Papageorgiou, Amalia Papanikolaou and Stelios Smirnakis Chapter 15 Using fMRI to Examine Central Auditory Plasticity by Deborah Hall, Cornelis Lanting, Douglas Hartley and Deborah Hall Chapter 16 The Neurofunctional Architecture of Motor Imagery by Aymeric Guillot, Franck Di Rienzo and Christian Collet Chapter 17 Feedback Regulation of Limb Position Characterized Using FMRI by Aaron Suminski and Robert Scheidt Chapter 18 Active and Passive fMRI for Presurgical Mapping of Motor and Language Cortex by Bradley Goodyear, Einat Liebenthal and Victoria Mosher Chapter 19 Functional MRI in Alzheimer’s Disease by Julia Kivistÿ, Hilkka Soininen and Maija Pihlajamaki Chapter 20 Structural and Functional Magnetic Resonance Imaging in Hepatic Encephalopathy by Longjiang Zhang Chapter 21 Application of Diffusion – And Perfusion – Weighted Imaging in Acute Ischemic Stroke by Vincent Lai Chapter 22 The Brain Is not “As-If” – Taking Stock of the Neuroscientific Approach on Decision Making by Kirsten G. Volz and Gerd Gigerenzer Contents Chapter 23 Using fMRI to Study Valuation and Choice by Read Montague and Ann Harvey Chapter 24 Social Pain and the Brain: How Insights from Neuroimaging Advance the Study of Social Rejection by Richard Pond, Jr., Stephanie Richman, David Chester and Nathan DeWall Chapter 25 Social Neuroscience Tasks: Employing fMRI to Understand the Social Mind by George Christopoulos Preface The brain is the most complex computational device we know, consisting of highly interacting and redundant networks of areas, supporting specific brain functions. The rules by which these areas organize themselves to perform specific computations have only now started to be uncovered. Advances in non-invasive neuroimaging technologies have revolutionized our understanding of the functional anatomy of cortical circuits in health and disease states, which is the focus of this book. The first section of this book focuses on methodological issues, such as combining functional MRI technology with other brain imaging modalities. The second section examines the application of brain neuroimaging to understand cognitive, visual, auditory, motor and decision-making networks, as well as neurological diseases. Th e use of non-invasive neuro imaging technologies will continue to stimulate an exponential growth in understanding basic brain processes, largely as a result of sustained advances in neuroimaging methods and applications. Chapter 1 A Practical Guide to an fMRI Experiment Nasser H Kashou Additional information is available at the end of the chapter 1.Introduction Functional Magnetic Resonance Imaging (fMRI) has been around for two decades now and research in this field has been exponentially rising. Many of this research has been dominated by basic science. Recent trends have brought the clinical realm into play in which valuable contribution can still be made. Allowing the clinician to understand the basic concepts behind an fMRI experiment is crucial to further developing and evaluating functionalparadigmsandresearch. PartofdesigninganfMRIexperimentisunderstanding thephysicsandhowfinetuningscanningparametersaffecttheimagequalitywhichinturn affectthefindingsofanfMRIstudy. Theotherpartisunderstandingthephysiologybehind theacquiredsignalaswellastheanatomyofthebrain. Toappreciatethecomplexityofthe fMRIprocesssee[1,2]. Inthischapterwepresentapracticalguidetothenoviceonwhatimportantaspectsneededto perform an efficient fMRI experiment from idea formulation to understanding the possible limitations of the results. In doing so, the basic concepts of fMRI beginning with image resolution and physics will be discussed along with advice on possible pearls and pitfalls of this process. Points covered will include paradigm design, scanning protocol, and limitations. 2.Basics physics HowisanimageacquiredinMRI?Inthissectionabriefoverviewofthephysicsandsteps needed is introduced. The main components to acquire an image in MRI are a magnet, threegradientsandaradiofrequency(RF)coil. Incontrasttootherimagingmodalities,the magnet is always on, very strong and can range anywhere from 1.5 to 8 Tesla (higher for animal systems). Currently 1.5 and 3 Tesla are the standard magnets for clinical MRI. To get a grasp on the strength of the magnet, consider that the earth’s magnetic field is equal to 0.5 Gauss where 10,000 Gauss is equal to 1 Tesla. This means if working with a 1.5 or 3 Teslasystem thenthe magnetis 30,000and 60,000times strongerthanthe earth’smagnetic field. This fact is probably the most important thing to know about MRI scanners, namely

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