Multimodal Oscillation-based Connectivity Theory
Systems-level neuronal mechanisms that coordinate the temporally, anatomically, and functionally distributed neuronal activity into coherent cognitive operations in the human brain have remained poorly understood. In humans, neuronal oscillations and sync
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Multimodal Oscillationbased Connectivity Theory
Multimodal Oscillation-based Connectivity Theory
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Satu Palva Editor
Multimodal Oscillationbased Connectivity Theory
Editor Satu Palva Neuroscience Center University of Helsinki Helsinki, Finland
ISBN 978-3-319-32263-6 ISBN 978-3-319-32265-0 DOI 10.1007/978-3-319-32265-0
(eBook)
Library of Congress Control Number: 2016942271 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland
Preface
The system-level neuronal mechanisms that coordinate temporally, anatomically, and functionally distributed neuronal activity into coherent cognitive functions in the human brain have remained poorly understood. Synchronized neuronal activity coordinates and regulates neuronal processing in local neuronal circuits and could hence be a system-level biological mechanism governing the coordination of anatomically distributed processing in perception, action, and cognitive processes. In humans, neuronal oscillations and synchronization can be recorded non-invasively with electro- and magnetoencephalography (EEG and MEG) that have excellent temporal and good spatial resolution when combined with sourcereconstruction methods. Although EEG and MEG recordings have revealed that local oscillations characterize task-dependent neuronal activity and predict behavior, less is known of the role of large-scale neuronal synchronization in the coordination of neuronal processing in support of cognitive processes as the analysis of large-scale synchrony from noninvasive MEG recording has been slowed down by several technical challenges. Estimating the role of large-scale synchrony in cognitive processes has been hindered by several technical difficulties, and only in recent years has it been shown that large-scale inter-areal syn
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