January 18, 2021

Download Ebook Free Imaging Genetics

Imaging Genetics

Imaging Genetics
Author : Adrian Dalca,Kayhan N. Batmanghelich,Mert Sabuncu,Li Shen
Publisher : Academic Press
Release Date : 2017-09-22
Category : Technology & Engineering
Total pages :182
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Imaging Genetics presents the latest research in imaging genetics methodology for discovering new associations between imaging and genetic variables, providing an overview of the state-of the-art in the field. Edited and written by leading researchers, this book is a beneficial reference for students and researchers, both new and experienced, in this growing area. The field of imaging genetics studies the relationships between DNA variation and measurements derived from anatomical or functional imaging data, often in the context of a disorder. While traditional genetic analyses rely on classical phenotypes like clinical symptoms, imaging genetics can offer richer insights into underlying, complex biological mechanisms. Contains an introduction describing how the field has evolved to the present, together with perspectives on its future direction and challenges Describes novel application domains and analytic methods that represent the state-of-the-art in the burgeoning field of imaging genetics Introduces a novel, large-scale analytic framework that involves multi-site, image-wide, genome-wide associations

Neuroimaging Genetics

Neuroimaging Genetics
Author : Kristin L. Bigos,Ahmad R. Hariri,Daniel R. Weinberger
Publisher : Oxford University Press
Release Date : 2016-02-03
Category : Medical
Total pages :496
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The field of neuroimaging genetics has grown exponentially over the past decade. To date there are more than 10,000 published papers involving MRI, PET, MEG and genetics. Neuroimaging Genetics: Principles and Practices is the comprehensive volume edited by Drs. Bigos, Hariri, and Weinberger and co-authored by the preeminent scholars in the field. This text reviews the basic principles of neuroimaging techniques and their application to neuroimaging genetics. The work presented in this volume elaborates on the explosive interest from diverse research areas in psychiatry and neurology in the use of imaging genetics as a unique tool to establish and identify mechanisms of risk, establish biological significance, and extend statistical evidence of genetic associations. Examples throughout highlight the application of imaging genetics to understand neurochemical systems and pathways, explore relationships between genetics and the structural and functional connectivity in human brain, and provide insight into mechanisms of risk for psychiatric and neurologic illness.

Imaging Genetics of Frontostriatal Function in Autism Spectrum Disorders

Imaging Genetics of Frontostriatal Function in Autism Spectrum Disorders
Author : Ashley Anna Scott
Publisher : Unknown
Release Date : 2009
Category :
Total pages :204
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Current and Future Role of Artificial Intelligence in Cardiac Imaging

Current and Future Role of Artificial Intelligence in Cardiac Imaging
Author : Steffen Erhard Petersen,Karim Lekadir,Alistair A. Young,Tim Leiner
Publisher : Frontiers Media SA
Release Date : 2020-10-09
Category : Medical
Total pages :129
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Imaging Biomarkers in Epilepsy

Imaging Biomarkers in Epilepsy
Author : Andrea Bernasconi,Neda Bernasconi,Matthias Koepp
Publisher : Cambridge University Press
Release Date : 2019-01-10
Category : Medical
Total pages :272
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Assembles world-class expertise on clinical and molecular imaging-derived biomarkers, presenting neuroimaging in epilepsy in a broad neuroscientific context.

The Handbook of Neuropsychiatric Biomarkers, Endophenotypes and Genes

The Handbook of Neuropsychiatric Biomarkers, Endophenotypes and Genes
Author : Michael S. Ritsner
Publisher : Springer Science & Business Media
Release Date : 2009-04-21
Category : Medical
Total pages :243
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Neuropsychiatric disorders such as schizophrenia, mood disorders, Alzheimer’s disease, epilepsy, alcoholism, substance abuse and others are one of the most debilitating illnesses worldwide characterizing by the complexity of the causes, and lacking the laboratory tests that may promote diagnostic and prognostic procedures. Recent advances in neuroscience, genomic, genetic, proteomic and metabolomic knowledge and technologies have opened the way to searching biomarkers and endophenotypes, which may offer powerful and exciting opportunity to understand the etiology and the underlying pathophysiological mechanisms of neuropsychiatric disorders. The challenge now is to translate these advances into meaningful diagnostic and therapeutic advances. This book offers a broad synthesis of the current knowledge about diverse topics of the biomarker and endophenotype strategies in neuropsychiatry. The book is organized into four interconnected volumes: “Neuropsychological Endophenotypes and Biomarkers” (with overview of methodological issues of the biomarker and endophenotype approaches in neuropsychiatry and some technological advances), “Neuroanatomical and Neuroimaging Endophenotypes and Biomarkers”, “Metabolic and Peripheral Biomarkers” and “Molecular Genetic and Genomic Markers”. The contributors are internationally and nationally recognized researchers and experts from 16 countries. This four-volume handbook is intended for a broad spectrum of readers including neuroscientists, psychiatrists, neurologists, endocrinologists, pharmacologists, clinical psychologists, general practitioners, geriatricians, health care providers in the field of neurology and mental health interested in trends that have crystallized in the last decade, and trends that can be expected to further evolve in the coming years. It is hoped that this book will also be a useful resource for the teaching of psychiatry, neurology, psychology and mental health.

Exam Prep for: Imaging Genetics

Exam Prep for: Imaging Genetics
Author : Anonim
Publisher : Unknown
Release Date : 2021
Category :
Total pages :129
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Imaging in CNS Drug Discovery and Development

Imaging in CNS Drug Discovery and Development
Author : David Borsook,Lino R. Beccera,Edward Bullmore,Richard J. Hargreaves
Publisher : Springer Science & Business Media
Release Date : 2010-03-10
Category : Medical
Total pages :396
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Drug development today needs to balance agility, speed, and risk in defining probability of success for molecules, mechanisms, and therapeutic concepts. New techniques such as fMRI promise to be part of a sequence that could transform drug development. Although numerous review articles exist that discuss the use of imaging in drug development, no one source is available that combines the various techniques and includes a discussion of disease mapping. Imaging in CNS Drug Discovery and Development, Implications for Disease and Therapy will serve to distill the most salient developments in the use of imaging in drug development and disease mapping. It will launch evolving concepts that integrate new imaging technologies and paradigms with molecular medicine and molecular profiling ("monics") as well as consider the ethical issues that arise as a result of disease or state diagnosis and the use of imaging in the public eye.

Year Book of Diagnostic Radiology 2011 - E-Book

Year Book of Diagnostic Radiology 2011 - E-Book
Author : Anne G. Osborn
Publisher : Elsevier Health Sciences
Release Date : 2011-08-01
Category : Medical
Total pages :376
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Year Book of Diagnostic Radiology 2011 - E-Book

Brains, Genes, and the Foundations of Human Society

Brains, Genes, and the Foundations of Human Society
Author : Jordan Grafman,Chad E. Forbes
Publisher : Frontiers E-books
Release Date : 2021
Category :
Total pages :129
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The last 20 years have yielded an explosion of information from the still nascent field of social neuroscience. Studies devoted to identifying neural correlates of social cognitive and moral judgment processing have established subcortical and cortical regions that are integral for how we filter and interpret information pertinent to family and friends, our social in-group, and strangers and engage in everything from forming immediate impressions of them to judging their behavior with respect to complex moral norms. What is less clear is how neural regions involved in implicit and explicit cognitive processing, or those cognitive processes that occur almost instantaneously as opposed to those that are more controlled respectively, interact to bias perceptions and behavior. Even less is known about how genes (and their variants) critical for neural function and the structural integrity within neural regions may modulate neural interactions critical for social cognitive and moral judgment processing. Recent methodological advancements assessing how different neural regions functionally work together with others, and how different genetic variants integral for neural function alter behavior, are establishing a more comprehensive view of the implicit and explicit social brain. These advancements demonstrate that structures critical for implicit processing, e.g., the amygdala, reliably covary in their activity with structures integral for explicit processing, e.g., dorsolateral prefrontal cortex, early and often during the processing of social information of varying complexity and in different contexts. This suggests that interactions between these regions are necessary to successfully navigate and immediately adapt to one’s environment. In turn, genetic variants like those that comprise the brain-derived neurotrophic factor (BDNF) gene, oxytocin receptor gene, or serotonin transporter gene likely play an important role in modulating the interaction between and within neural regions integral for interpersonal trust, intergroup processes, person perception, theory of mind (i.e., inferring the thoughts and feelings of others), and moral judgment processing. The purpose of this Research Topic is to further our understanding of how subcortical and cortical neural regions that vary in their functional contributions to social behavior also depend upon genetic influences in shaping individuals’ perceptions, beliefs, attitudes, behaviors, and how information is attended to and encoded to influence future social behaviors. It is particularly important to demonstrate how these regions reliably interact as a function of processing speed (i.e., implicit or explicit) and/or context to predict behavior or performance. Demonstrating how different genetic factors in turn moderate this interaction, or how genetic factors alter a specific region’s interaction with other regions, is equally important. We therefore solicit original empirical work, review and opinion papers, and methodological papers that can promote our understanding of how interactions between neural regions underlying implicit and explicit processes influence social cognitive and moral judgment processing and are, in turn, modulated by genetic predispositions. This includes work that utilizes fMRI, EEG and psychophysiological methodologies, lesion samples, as well as developmental and computational approaches. This Research Topic could serve as an important step in the evolution of our understanding of the complexity of the social mind as well as illuminate the robust effects context has on the way the brain interacts with different stimuli at every level of cognitive processing.

Issues in Addiction and Eating Disorders: 2013 Edition

Issues in Addiction and Eating Disorders: 2013 Edition
Author : Anonim
Publisher : ScholarlyEditions
Release Date : 2013-05-01
Category : Medical
Total pages :895
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Issues in Addiction and Eating Disorders / 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Gambling Research. The editors have built Issues in Addiction and Eating Disorders: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Gambling Research in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Addiction and Eating Disorders: 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Micro-, Meso- and Macro-Connectomics of the Brain

Micro-, Meso- and Macro-Connectomics of the Brain
Author : Henry Kennedy,David C. Van Essen,Yves Christen
Publisher : Springer
Release Date : 2016-03-10
Category : Medical
Total pages :166
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This book has brought together leading investigators who work in the new arena of brain connectomics. This includes ‘macro-connectome’ efforts to comprehensively chart long-distance pathways and functional networks; ‘micro-connectome’ efforts to identify every neuron, axon, dendrite, synapse, and glial process within restricted brain regions; and ‘meso-connectome’ efforts to systematically map both local and long-distance connections using anatomical tracers. This book highlights cutting-edge methods that can accelerate progress in elucidating static ‘hard-wired’ circuits of the brain as well as dynamic interactions that are vital for brain function. The power of connectomic approaches in characterizing abnormal circuits in the many brain disorders that afflict humankind is considered. Experts in computational neuroscience and network theory provide perspectives needed for synthesizing across different scales in space and time. Altogether, this book provides an integrated view of the challenges and opportunities in deciphering brain circuits in health and disease.

Machine Learning and Medical Imaging

Machine Learning and Medical Imaging
Author : Guorong Wu,Dinggang Shen,Mert Sabuncu
Publisher : Academic Press
Release Date : 2016-08-11
Category : Technology & Engineering
Total pages :512
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Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to different medical imaging modalities, clinical domains, and organs. The biomedical imaging modalities include ultrasound, magnetic resonance imaging (MRI), computed tomography (CT), histology, and microscopy images. The targeted organs span the lung, liver, brain, and prostate, while there is also a treatment of examining genetic associations. Machine Learning and Medical Imaging is an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians. Demonstrates the application of cutting-edge machine learning techniques to medical imaging problems Covers an array of medical imaging applications including computer assisted diagnosis, image guided radiation therapy, landmark detection, imaging genomics, and brain connectomics Features self-contained chapters with a thorough literature review Assesses the development of future machine learning techniques and the further application of existing techniques

Collaborative Computational Technologies for Biomedical Research

Collaborative Computational Technologies for Biomedical Research
Author : Sean Ekins,Maggie A. Z. Hupcey,Antony J. Williams
Publisher : John Wiley & Sons
Release Date : 2011-08-04
Category : Science
Total pages :576
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Methods, Processes, and Tools for Collaboration "The time has come to fundamentally rethink how we handle the building of knowledge in biomedical sciences today. This book describes how the computational sciences have transformed into being a key knowledge broker, able to integrate and operate across divergent data types."—Bryn Williams-Jones, Associate Research Fellow, Pfizer The pharmaceutical industry utilizes an extended network of partner organizations in order to discover and develop new drugs, however there is currently little guidance for managing information and resources across collaborations. Featuring contributions from the leading experts in a range of industries, Collaborative Computational Technologies for Biomedical Research provides information that will help organizations make critical decisions about managing partnerships, including: Serving as a user manual for collaborations Tackling real problems from both human collaborative and data and informatics perspectives Providing case histories of biomedical collaborations and technology-specific chapters that balance technological depth with accessibility for the non-specialist reader A must-read for anyone working in the pharmaceuticals industry or academia, this book marks a major step towards widespread collaboration facilitated by computational technologies.

Imaging in Dermatology

Imaging in Dermatology
Author : Michael R. Hamblin,Pinar Avci,Gaurav K Gupta
Publisher : Academic Press
Release Date : 2016-07-29
Category : Medical
Total pages :560
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Imaging in Dermatology covers a large number of topics in dermatological imaging, the use of lasers in dermatology studies, and the implications of using these technologies in research. Written by the experts working in these exciting fields, the book explicitly addresses not only current applications of nanotechnology, but also discusses future trends of these ever-growing and rapidly changing fields, providing clinicians and researchers with a clear understanding of the advantages and challenges of laser and imaging technologies in skin medicine today, along with the cellular and molecular effects of these technologies. Outlines the fundamentals of imaging and lasers for dermatology in clinical and research settings Provides knowledge of current and future applications of dermatological imaging and lasers Coherently structured book written by the experts working in the fields covered