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Author: Jing Kan Publisher: LAP Lambert Academic Publishing ISBN: 9783847300205 Category : Magnetic resonance imaging Languages : en Pages : 220
Book Description
Evaluating the dynamic activities of human brain is a challenge for academia. This book provides a novel way of MEG source reconstruction from the computer science perspective (specified on pattern recognition, graph theory and the signal processing). On one hand, pattern recognition is widely and successfully used for the different (and mainly unrelated) applications on classification', diagnosis' or 'identification'. On the other hand, since MEG source reconstruction is fundamentally an ill-posed inverse problem, the conventional approaches by no means may represent the true image at all times. The proposed methods of MEG source reconstruction in this book sufficiently introduce the thoughts, process and solutions from pattern recognition into solving the problem of MEG source reconstruction. The combination of these two fields not only opens an innovational angle, also inspires methodological research on other medical imaging technologies, such as fMRI, EEG. The target readers of this monograph are: university/college students of computer science, mathematics and physics; technicians in imaging algorithm; relevant scholars and colleagues.
Author: Jing Kan Publisher: LAP Lambert Academic Publishing ISBN: 9783847300205 Category : Magnetic resonance imaging Languages : en Pages : 220
Book Description
Evaluating the dynamic activities of human brain is a challenge for academia. This book provides a novel way of MEG source reconstruction from the computer science perspective (specified on pattern recognition, graph theory and the signal processing). On one hand, pattern recognition is widely and successfully used for the different (and mainly unrelated) applications on classification', diagnosis' or 'identification'. On the other hand, since MEG source reconstruction is fundamentally an ill-posed inverse problem, the conventional approaches by no means may represent the true image at all times. The proposed methods of MEG source reconstruction in this book sufficiently introduce the thoughts, process and solutions from pattern recognition into solving the problem of MEG source reconstruction. The combination of these two fields not only opens an innovational angle, also inspires methodological research on other medical imaging technologies, such as fMRI, EEG. The target readers of this monograph are: university/college students of computer science, mathematics and physics; technicians in imaging algorithm; relevant scholars and colleagues.
Author: Thomas R. Knösche Publisher: Springer Nature ISBN: 3030749185 Category : Medical Languages : en Pages : 429
Book Description
This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes’ theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions. This book is intended as basic reading for anybody who is engaged with EEG/MEG source reconstruction, be it as a method developer or as a user, including advanced undergraduate students, PhD students, and postdocs in neuroscience, biomedical engineering, and related fields.
Author: Omer Tal Publisher: ISBN: 9781303996382 Category : Languages : en Pages : 139
Book Description
In recent times, the study of functional connectivity (FC) between spatially distinct locations yet functionally related locations in the resting brain using functional magnetic resonance imaging (fMRI) has been on the rise. However, the interpretation of such functional measures is complicated by the complex hemodynamic nature of the blood oxygenation level dependent (BOLD) signal, which can be influenced by both neural as well as vascular factors. In this work, we employed a direct measure of neuromagnetic activity, magnetoencephalography (MEG), to further validate the neural origin of caffeine-induced reductions in BOLD connectivity observed previously in our lab. Concerns regarding the performance of existing source reconstruction methods for MEG analysis motivated the development of an improved source reconstruction technique, a multi-core beamformer (MCBF), which was comprehensively tested with both simulations and neuromagnetic data. An iterative algorithm to be used in conjunction with the MCBF, allowing a solution to be obtained without any a priori knowledge about the underlying source configuration, was described and analyzed in detail. With the help of the new beamformer, the caffeine data were reexamined and the original findings were upheld. Preliminary investigation into resting-state networks by means of temporal independent component analysis (ICA) was also conducted.
Author: Selma Supek Publisher: Springer ISBN: 3642330452 Category : Technology & Engineering Languages : en Pages : 999
Book Description
Magnetoencephalography (MEG) is an invaluable functional brain imaging technique that provides direct, real-time monitoring of neuronal activity necessary for gaining insight into dynamic cortical networks. Our intentions with this book are to cover the richness and transdisciplinary nature of the MEG field, make it more accessible to newcomers and experienced researchers and to stimulate growth in the MEG area. The book presents a comprehensive overview of MEG basics and the latest developments in methodological, empirical and clinical research, directed toward master and doctoral students, as well as researchers. There are three levels of contributions: 1) tutorials on instrumentation, measurements, modeling, and experimental design; 2) topical reviews providing extensive coverage of relevant research topics; and 3) short contributions on open, challenging issues, future developments and novel applications. The topics range from neuromagnetic measurements, signal processing and source localization techniques to dynamic functional networks underlying perception and cognition in both health and disease. Topical reviews cover, among others: development on SQUID-based and novel sensors, multi-modal integration (low field MRI and MEG; EEG and fMRI), Bayesian approaches to multi-modal integration, direct neuronal imaging, novel noise reduction methods, source-space functional analysis, decoding of brain states, dynamic brain connectivity, sensory-motor integration, MEG studies on perception and cognition, thalamocortical oscillations, fetal and neonatal MEG, pediatric MEG studies, cognitive development, clinical applications of MEG in epilepsy, pre-surgical mapping, stroke, schizophrenia, stuttering, traumatic brain injury, post-traumatic stress disorder, depression, autism, aging and neurodegeneration, MEG applications in cognitive neuropharmacology and an overview of the major open-source analysis tools.
Author: Sergey N. Makarov Publisher: Springer Nature ISBN: 3030456234 Category : Biomedical engineering Languages : en Pages : 395
Book Description
The 41st Annual International Conference of the IEEE EMBS, took place between July 23 and 27, 2019, in Berlin, Germany. The focus was on "Biomedical engineering ranging from wellness to intensive care." This conference provided an opportunity for researchers from academia and industry to discuss a variety of topics relevant to EMBS and hosted the 4th Annual Invited Session on Computational Human Models. At this session, a bevy of research related to the development of human phantoms was presented, together with a substantial variety of practical applications explored through simulation.
Author: Elizabeth Pang Publisher: BoD – Books on Demand ISBN: 9533072555 Category : Medical Languages : en Pages : 267
Book Description
This is a practical book on MEG that covers a wide range of topics. The book begins with a series of reviews on the use of MEG for clinical applications, the study of cognitive functions in various diseases, and one chapter focusing specifically on studies of memory with MEG. There are sections with chapters that describe source localization issues, the use of beamformers and dipole source methods, as well as phase-based analyses, and a step-by-step guide to using dipoles for epilepsy spike analyses. The book ends with a section describing new innovations in MEG systems, namely an on-line real-time MEG data acquisition system, novel applications for MEG research, and a proposal for a helium re-circulation system. With such breadth of topics, there will be a chapter that is of interest to every MEG researcher or clinician.
Author: Mithun Diwakar Publisher: ISBN: 9781124867786 Category : Languages : en Pages : 170
Book Description
Beamformer adaptive spatial filters have been used extensively in the field of magnetoencephalography (MEG) as tools to reconstruct functional activation of the brain. Conventional single beamformer techniques suffer from distortion in the presence of coherent activation of the cortex or are difficult to use due to the need of a priori information. These qualities present a major disadvantage to analyzing human brain responses, as coordinated functional responses require a degree of synchronous activation in different parts of the active cortex. In this dissertation, a novel beamformer technique, the multi-core beamformer, is developed that is robust to source correlation and does not require the use of a priori information. This novel approach is tested in both simulated and real experiments, including auditory and median-nerve stimulation, which provide well-studied systems to gauge the effectiveness of our new technique. Simulations show that the multi-core beamformer can successfully determine source time-courses, source powers, and source locations while minimizing or eliminating the distortion present in other methods. Results from real-life experiments show that the multi-core beamformer produces physiologically meaningful solutions that agree with previous functional imaging and neurophysiology studies. The use of the multi-core beamformer is expected to greatly contribute to the analysis of MEG recordings and, in general, improve our understanding of functional brain activity.
Author: Roland Lee Publisher: Elsevier Health Sciences ISBN: 0323709419 Category : Medical Languages : en Pages : 153
Book Description
This issue of Neuroimaging Clinics of North America focuses on Magnetoencephalography (MEG), and is edited by Drs. Roland Lee and Mingxiong Huang. Articles will include: MEG signal processing, forward modeling, MEG inverse source imaging, and Coherence analysis; Magnetoencephalography for pre-surgical functional mapping; Magnetoencephalography for mild TBI and PTSD; Magnetoencephalography for autism; Magnetoencephalography for schizophrenia; Magnetoencephalography for Alzheimer's disease; Pediatric Magnetoencephalography; The MEG Measurement Techniques; MEG and Language/Linguistics; MEG for Epilepsy; Integration of MEG results into the patient workup – Merging multiple modalities; and more!
Author: Jing Kan
Author: Jing Kan
Author: Thomas R. Knösche
Author: Omer Tal
Author: 
Author: Selma Supek
Author: Sergey N. Makarov
Author: Elizabeth Pang
Author: Mithun Diwakar
Author: Roland Lee
Author: Rafeed Alkawadri