Multimodal Imaging in Neurology
Multimodal Imaging in Neurology

Author: Hans-Peter Müller

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 75

ISBN-13: 3031016238

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The field of brain imaging is developing at a rapid pace and has greatly advanced the areas of cognitive and clinical neuroscience. The availability of neuroimaging techniques, especially magnetic resonance imaging (MRI), functional MRI (fMRI), diffusion tensor imaging (DTI) and magnetoencephalography (MEG) and magnetic source imaging (MSI) has brought about breakthroughs in neuroscience. To obtain comprehensive information about the activity of the human brain, different analytical approaches should be complemented. Thus, in "intermodal multimodality" imaging, great efforts have been made to combine the highest spatial resolution (MRI, fMRI) with the best temporal resolution (MEG or EEG). "Intramodal multimodality" imaging combines various functional MRI techniques (e.g., fMRI, DTI, and/or morphometric/volumetric analysis). The multimodal approach is conceptually based on the combination of different noninvasive functional neuroimaging tools, their registration and cointegration. In particular, the combination of imaging applications that map different functional systems is useful, such as fMRI as a technique for the localization of cortical function and DTI as a technique for mapping of white matter fiber bundles or tracts. This booklet gives an insight into the wide field of multimodal imaging with respect to concepts, data acquisition, and postprocessing. Examples for intermodal and intramodal multimodality imaging are also demonstrated. Table of Contents: Introduction / Neurological Measurement Techniques and First Steps of Postprocessing / Coordinate Transformation / Examples for Multimodal Imaging / Clinical Aspects of Multimodal Imaging / References / Biography

Niedermeyer's Electroencephalography
Niedermeyer's Electroencephalography

Author: Donald L. Schomer

Publisher: Lippincott Williams & Wilkins

Published: 2012-10-18

Total Pages: 1308

ISBN-13: 1451153155

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The leading reference on electroencephalography since 1982, Niedermeyer's Electroencephalography is now in its thoroughly updated Sixth Edition. An international group of experts provides comprehensive coverage of the neurophysiologic and technical aspects of EEG, evoked potentials, and magnetoencephalography, as well as the clinical applications of these studies in neonates, infants, children, adults, and older adults. This edition's new lead editor, Donald Schomer, MD, has updated the technical information and added a major new chapter on artifacts. Other highlights include complete coverage of EEG in the intensive care unit and new chapters on integrating other recording devices with EEG; transcranial electrical and magnetic stimulation; EEG/TMS in evaluation of cognitive and mood disorders; and sleep in premature infants, children and adolescents, and the elderly. A companion website includes fully searchable text and image bank.

Atlas of Epilepsies
Atlas of Epilepsies

Author: S.R. Benbadis

Publisher: Springer Science & Business Media

Published: 2010-09-20

Total Pages: 1966

ISBN-13: 1848821271

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Atlas of Epilepsies is a landmark, all-encompassing, illustrated reference work and hands-on guide to the diagnosis, management and treatment of epilepsy in all its forms and across all age groups. The premier text in the field with over one thousand images, the Atlas’s highly illustrative approach tackles the difficult subject of epileptic seizures and epileptic syndromes, accompanied by sequential photographs of each management step. Intraoperative photographs are accompanied by detailed figure legends describing nuances, subtleties, and the thought processes involved in each step, providing a fuller understanding of each procedure. The Atlas draws on the expertise of over 300 internationally-renowned experts, and is liberally interspersed with clinical insights and personal vignettes that offer helpful tips, technical advice and critical knowledge to the clinician and scholar. The thorough and complete table of contents includes dedicated sections or chapters on important topics such as neonatal and pediatric seizures; imitators of epilepsy; EEG and neuroimaging; psychiatric and quality of life aspects of epilepsy; and a complete guide to treatment options including current and up-to-date chapters on pharmaceuticals, surgical procedures, and additional and alternative treatments. No other publication addresses epilepsies as thoroughly and completely as the Atlas of Epilepsies. Exhaustive and illustrative, convenient and current, this reference is sure to be the premier text on epilepsy for many years to come.

Neuroimaging in Epilepsy
Neuroimaging in Epilepsy

Author: Harry Chugani, MD

Publisher: Oxford University Press

Published: 2010-11-23

Total Pages:

ISBN-13: 0199711526

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Perhaps the most important achievements in the field of epileptology in the past two decades have been in the neuroimaging and genetic breakthroughs as applied to patients with epilepsy. Indeed, neuroimaging has become a vital part in the study of epilepsy, affecting broad aspects of the disorder ranging from diagnosis and classification to treatment and prognosis. Neuroimaging in epilepsy encompasses many different approaches that have reached various levels of expertise across epilepsy centers worldwide. This book discusses every imaging modality used to gather information on epilepsy. Each technique is described by world experts and epilepsy centers worldwide.

Navigated Transcranial Magnetic Stimulation in Neurosurgery
Navigated Transcranial Magnetic Stimulation in Neurosurgery

Author: Sandro M. Krieg

Publisher: Springer

Published: 2017-07-03

Total Pages: 301

ISBN-13: 3319549189

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This book is the first comprehensive work summarizing the advances that have been made in the neurosurgical use of navigated transcranial magnetic stimulation (nTMS) over the past ten years. Having increasingly gained acceptance as a presurgical mapping modality in neurosurgery, today it is widely used for preoperative mapping of cortical motor and language function, risk stratification and improving the accuracy of subcortical fiber bundle visualization. This unique work will provide neurosurgeons and neuroscientists who are starting their nTMS program essential and detailed information on the technique and protocols, as well as the current clinical evidence on and limitations of the various applications of nTMS. At the same time, more experienced nTMS users looking for deeper insights into nTMS mapping and treatment in neurosurgery will find clearly structured, accessible information. The book was prepared by an international mix of authors, each of which was chosen for their status as a respected expert on the respective subtopic, as evinced by their landmark publications on nTMS.

Handbook of Neuroengineering
Handbook of Neuroengineering

Author: Nitish V. Thakor

Publisher: Springer Nature

Published: 2023-02-02

Total Pages: 3686

ISBN-13: 9811655405

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This Handbook serves as an authoritative reference book in the field of Neuroengineering. Neuroengineering is a very exciting field that is rapidly getting established as core subject matter for research and education. The Neuroengineering field has also produced an impressive array of industry products and clinical applications. It also serves as a reference book for graduate students, research scholars and teachers. Selected sections or a compendium of chapters may be used as “reference book” for a one or two semester graduate course in Biomedical Engineering. Some academicians will construct a “textbook” out of selected sections or chapters. The Handbook is also meant as a state-of-the-art volume for researchers. Due to its comprehensive coverage, researchers in one field covered by a certain section of the Handbook would find other sections valuable sources of cross-reference for information and fertilization of interdisciplinary ideas. Industry researchers as well as clinicians using neurotechnologies will find the Handbook a single source for foundation and state-of-the-art applications in the field of Neuroengineering. Regulatory agencies, entrepreneurs, investors and legal experts can use the Handbook as a reference for their professional work as well.​

Brain Seizure Detection and Classification Using EEG Signals
Brain Seizure Detection and Classification Using EEG Signals

Author: Varsha K. Harpale

Publisher: Academic Press

Published: 2021-09-09

Total Pages: 178

ISBN-13: 0323911218

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Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA, along with high performance machine learning classifiers for the classification of EEG signals in normal and epileptic EEG signals. In addition, the authors also present new methods of feature extraction, including Singular Spectrum-Empirical Wavelet Transform (SSEWT) for improved classification of seizures in significant seizure-types, specifically epileptic and Non-Epileptic Seizures (NES). The performance of the system is compared with existing methods of feature extraction using Wavelet Transform (WT) and Empirical Wavelet Transform (EWT). The book's objective is to analyze the EEG signals to observe abnormalities of brain activities called epileptic seizure. Seizure is a neurological disorder in which too many neurons are excited at the same time and are triggered by brain injury or by chemical imbalance. - Presents EEG signal processing and analysis concepts with high performance feature extraction - Discusses recent trends in seizure detection, prediction and classification methodologies - Helps classify epileptic and non-epileptic seizures where misdiagnosis may lead to the unnecessary use of antiepileptic medication - Provides new guidance and technical discussions on feature-extraction methods and feature selection methods based on One-way ANOVA, along with high performance machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction developed by the authors, including Singular Spectrum-Empirical Wavelet