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Developing Multimodal Therapies for Brain Disorders

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2017-03-13

Total Pages: 97

ISBN-13: 0309450268

Multimodal therapy approaches that combine interventions aimed at different aspects of disease are emerging as potentialâ€"and perhaps essentialâ€"ways to enhance clinical outcomes for patients with psychiatric and neurological disorders. In order to examine the general principles underlying multimodal therapies and to explore challenges, potential barriers, and opportunities for their development, the National Academies of Sciences, Engineering, and Medicine convened a workshop in June 2016. Participants explored scientific, clinical, regulatory, and reimbursement issues related to multimodal approaches and potential opportunities to enhance clinical outcomes for individuals with nervous system disorders. This publication summarizes the presentations and discussions from the workshop.

Enabling Novel Treatments for Nervous System Disorders by Improving Methods for Traversing the Bloodâ¬"Brain Barrier

Author: National Academies of Sciences, Engineering, and Medicine

Publisher: National Academies Press

Published: 2018-06-29

Total Pages: 73

ISBN-13: 0309473071

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Despite substantial advances in developing treatments for the serious illnesses that affect people worldwide, there remains a tremendous unmet need in the treatment of complex neurologic diseases, including neuropsychiatric and neurodegenerative disorders. Chief among the challenges that have hindered the development of therapeutics for central nervous system (CNS) disorders is the bloodâ€"brain barrier (BBB). The Forum on Neuroscience and Nervous System Disorders of the National Academies of Sciences, Engineering, and Medicine convened a workshop to explore the challenges associated with the BBB that have thus far stymied development of CNS drugs, examine new technologies that could address these challenges, and highlight potential opportunities for moving the field forward. This publication summarizes the presentations and discussions from the workshop.

Magnetoencephalography

Author: Selma Supek

Publisher: Springer

Published: 2014-08-07

Total Pages: 999

ISBN-13: 3642330452

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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.

Machine Learning

Author: Andrea Mechelli

Publisher: Academic Press

Published: 2019-11-14

Total Pages: 412

ISBN-13: 0128157402

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Machine Learning is an area of artificial intelligence involving the development of algorithms to discover trends and patterns in existing data; this information can then be used to make predictions on new data. A growing number of researchers and clinicians are using machine learning methods to develop and validate tools for assisting the diagnosis and treatment of patients with brain disorders. Machine Learning: Methods and Applications to Brain Disorders provides an up-to-date overview of how these methods can be applied to brain disorders, including both psychiatric and neurological disease. This book is written for a non-technical audience, such as neuroscientists, psychologists, psychiatrists, neurologists and health care practitioners. Provides a non-technical introduction to machine learning and applications to brain disorders Includes a detailed description of the most commonly used machine learning algorithms as well as some novel and promising approaches Covers the main methodological challenges in the application of machine learning to brain disorders Provides a step-by-step tutorial for implementing a machine learning pipeline to neuroimaging data in Python

Handbook of Innovations in Central Nervous System Regenerative Medicine

Author: António Salgado

Publisher: Elsevier

Published: 2020-06-10

Total Pages: 712

ISBN-13: 0128180854

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Handbook of Innovations in CNS Regenerative Medicine provides a comprehensive overview of the CNS regenerative medicine field. The book describes the basic biology and anatomy of the CNS and how injury and disease affect its balance and the limitations of the present therapies used in the clinics. It also introduces recent trends in different fields of CNS regenerative medicine, including cell transplantation, bio and neuro-engineering, molecular/pharmacotherapy therapies and enabling technologies. Finally, the book presents successful cases of translation of basic research to first-in-human trials and the steps needed to follow this path. Areas such as cell transplantation approaches, bio and neuro-engineering, molecular/pharmacotherapy therapies and enabling technologies are key in regenerative medicine are covered in the book, along with regulatory and ethical issues. Describes the basic biology and anatomy of the CNS and how injury and disease affect its balance Discusses the limitations of present therapies used in the clinics Introduces the recent trends in different fields of CNS regenerative medicine, including cell transplantation, bio and neuro-engineering, molecular/pharmacotherapy therapies, and enabling technologies Presents successful cases of translation of basic research to first-in-human trials, along with the steps needed to follow this path

Hands-On Machine Learning with R

Author: Brad Boehmke

Publisher: CRC Press

Published: 2019-11-07

Total Pages: 374

ISBN-13: 1000730433

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Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.

Aging and Dementia

Author: Wallace Lynn Smith

Publisher: Spectrum _

Published: 1977

Total Pages: 266

ISBN-13:

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Personalized Psychiatry

Author: Bernhard Baune

Publisher: Academic Press

Published: 2019-10-16

Total Pages: 604

ISBN-13: 0128131772

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Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders. Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective

Artificial Intelligence for Medicine

Author: Yoshiki Oshida

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2021-10-11

Total Pages: 520

ISBN-13: 3110717859

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The use of artificial intelligence (AI) in various fields is of major importance to improve the use of resourses and time. This book provides an analysis of how AI is used in both the medical field and beyond. Topics that will be covered are bioinformatics, biostatistics, dentistry, diagnosis and prognosis, smart materials, and drug discovery as they intersect with AI. Also, an outlook of the future of an AI-assisted society will be explored.

Neurobiology of Brain Disorders

Author: Michael J. Zigmond

Publisher: Academic Press

Published: 2022-05-20

Total Pages: 1136

ISBN-13: 0323898254

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Neurobiology of Brain Disorders: Biological Basis of Neurological and Psychiatric Disorders, Second Edition provides basic scientists a comprehensive overview of neurological and neuropsychiatric disease. This book links basic, translational, and clinical research, covering the genetic, developmental, molecular and cellular mechanisms underlying all major categories of brain disorders. It offers students, postdoctoral fellows, and researchers in diverse fields of neuroscience, neurobiology, neurology, and psychiatry the tools they need to obtain a basic background in the major neurological and psychiatric diseases. Topics include developmental, autoimmune, central, and peripheral neurodegeneration, infectious diseases, and diseases of higher function. Organized by individual disorder, each chapter includes coverage of the clinical condition, diagnosis, treatment, underlying mechanisms, relevant basic and translational research, and key unanswered questions. This volume reflects progress in the field since publication of the first edition, with fully updated chapters, and new chapters on isolation, aging, global diseases, vascular diseases, and toxic/metabolic disease. New disorder coverage includes fibromyalgia, chronic fatigue, Restless Legs Syndrome, myasthenia gravis, and more. Links basic, translational and clinical research on disorders of the nervous system Covers a vast array of neurological and psychiatric disorders, including Down syndrome, autism, muscular dystrophy, diabetes, TBI, Parkinson's, Huntington's, Alzheimer's, OCD, PTSD, schizophrenia, depression and pain Features new chapters on the effects of aging and isolation on brain health Expands coverage on disorders, including new chapters on fibromyalgia, chronic fatigue, and restless legs syndrome Features in-text summary points, special feature boxes and research questions