Neuroimaging Genetics
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| Author | : Kristin L. Bigos |
| Publisher | : Oxford University Press |
| Total Pages | : 433 |
| Release | : 2016-02-03 |
| Genre | : Medical |
| ISBN | : 0190209771 |
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.
| Author | : Marek Kubicki |
| Publisher | : Springer Nature |
| Total Pages | : 432 |
| Release | : 2020-02-18 |
| Genre | : Medical |
| ISBN | : 3030352064 |
This comprehensive book explains the importance of imaging techniques in exploring and understanding the role of brain abnormalities in schizophrenia. The findings obtained using individual imaging modalities and their biological interpretation are reviewed in detail, and updates are provided on methodology, testable hypotheses, limitations, and new directions for research. The coverage also includes important recent applications of neuroimaging to schizophrenia, for example in relation to non-pharmacological interventions, brain development, genetics, and prediction of treatment response and outcome. Written by world renowned experts in the field, the book will be invaluable to all who wish to learn about the newest and most important developments in neuroimaging research in schizophrenia, how these developments relate to the last 30 years of research, and how they can be leveraged to bring us closer to a cure for this devastating disorder. Neuroimaging in Schizophrenia will assist clinicians in navigating what is an extremely complex field and will be a source of insight and stimulation for researchers.
| Author | : Virginia Ng |
| Publisher | : IOS Press |
| Total Pages | : 268 |
| Release | : 2003 |
| Genre | : |
| ISBN | : 9781586033446 |
| Author | : Henry Kennedy |
| Publisher | : Springer |
| Total Pages | : 173 |
| Release | : 2016-03-10 |
| Genre | : Medical |
| ISBN | : 3319277774 |
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.
| Author | : Stephen Strakowski |
| Publisher | : Oxford University Press |
| Total Pages | : 329 |
| Release | : 2022 |
| Genre | : Manic-depressive illness |
| ISBN | : 0197574521 |
"Although efforts to examine the structure and function of the human brain stretch back centuries (Paluzzi et al, 2007), techniques allowing the study of living humans are a relatively recent development. Early investigators confined themselves to largely studying external features, with 18th century methodologies such as phrenology purporting to link extracranial proxies for brain size and structure to specific personality traits (Livianos-Aldana et al, 2007). However, these techniques did not prove useful for either clinical or research purposes. Two-dimensional x-ray imaging, while constituting an important medical advance, did not provide sufficient soft tissue contrast to be useful for studying "functional" psychiatric disorders such as bipolar disorder; techniques to enhance contrast, such as ventriculography and pneumoencephalography were similarly limited (Figure 1.1). Wide-spread in vivo studies of brain morphometry had to await the development of computed tomography imaging (CT) in the early 1970s. By the early 1980s CT was already being applied to the study of bipolar disorder (Pearlson et al, 1981)"--
| Author | : Kamil Uludag |
| Publisher | : Springer |
| Total Pages | : 926 |
| Release | : 2015-09-16 |
| Genre | : Medical |
| ISBN | : 1489975918 |
This volume explores the revolutionary fMRI field from basic principles to state-of-the-art research. It covers a broad spectrum of topics, including the history of fMRI's development using endogenous MR blood contrast, neurovascular coupling, pulse sequences for fMRI, quantitative fMRI; fMRI of the visual system, auditory cortex, and sensorimotor system; genetic imaging using fMRI, multimodal neuroimaging, brain bioenergetics and function and molecular-level fMRI. Comprehensive and intuitively structured, this book engages the reader with a first-person account of the development and history of the fMRI field by the authors. The subsequent sections examine the physiological basis of fMRI, the basic principles of fMRI and its applications and the latest advances of the technology, ending with a discussion of fMRI’s future. fMRI: From Nuclear Spins to Brain Function, co-edited by leading and renowned fMRI researchers Kamil Ugurbil, Kamil Uludag and Lawrence Berliner, is an ideal resource for clinicians and researchers in the fields of neuroscience, psychology and MRI physics.
| Author | : Gareth W. Roberts |
| Publisher | : Cambridge University Press |
| Total Pages | : 204 |
| Release | : 1995-06-08 |
| Genre | : Medical |
| ISBN | : 9780521425582 |
This volume provides an introduction to the essential techniques required for studying the molecular biology of brain disease. The approaches and strategies for investigations of gene structure and regulation are described with reference to the molecular genetics of prion and Alzheimer's disease. The effects of aberrant gene regulation can also be examined at the protein level by immunocytochemistry and autoradiography. Improved understanding of basic biology has resulted in new approaches to animal models using transgenic techniques and new therapeutic approaches. The volume is structured to illustrate all these approaches and demonstrate the practice and promise of molecular neuropathology.
| Author | : Thomas Lehner |
| Publisher | : Academic Press |
| Total Pages | : 798 |
| Release | : 2016-06-07 |
| Genre | : Science |
| ISBN | : 0128005300 |
This foundational work comprehensively examines the current state of the genetics, genomics and brain circuitry of psychiatric and neurological disorders. It consolidates discoveries of specific genes and genomic regions associated with these conditions, the genetic and anatomic architecture of these syndromes, and addresses how recent advances in genomics are leading to a reappraisal of the biology underlying clinical neuroscience. In doing so, it critically examines the promise and limitations of these discoveries toward treatment, and to the interdisciplinary nature of understanding brain and behavior. Coverage includes new discoveries regarding autism, epilepsy, intellectual disability, dementias, movement disorders, language impairment, disorders of attention, schizophrenia, and bipolar disorder. Genomics, Circuits, and Pathways in Clinical Neuropsychiatry focuses on key concepts, challenges, findings, and methods in genetics, genomics, molecular pathways, brain circuitry, and related neurobiology of neurologic and psychiatric disorders. - Provides interdisciplinary appeal in psychiatry, neurology, neuroscience, and genetics - Identifies key concepts, methods, and findings - Includes coverage of multiple disorders from autism to schizophrenia - Reviews specific genes associated with disorders - Discusses the genetic architecture of these syndromes - Explains how recent findings are influencing the understanding of biology - Clarifies the promise of these findings for future treatment
| Author | : John R Absher |
| Publisher | : Academic Press |
| Total Pages | : 422 |
| Release | : 2016-01-30 |
| Genre | : Medical |
| ISBN | : 0128011661 |
Neuroimaging Personality, Social Cognition, and Character covers the science of combining brain imaging with other analytical techniques for use in understanding cognition, behavior, consciousness, memory, language, visual perception, emotional control, and other human attributes. Multidimensional brain imaging research has led to a greater understanding of character traits such as honesty, generosity, truthfulness, and foresight previously unachieved by quantitative mapping. This book summarizes the latest brain imaging research pertaining to character with structural and functional human brain imaging in both normal individuals and those with brain disease or disorder, including psychiatric disorders.By reviewing and synthesizing the latest structural and functional brain imaging research related to character, this book situates itself into the larger framework of cognitive neuroscience, psychiatric neuroimaging, related fields of research, and a wide range of academic fields, such as politics, psychology, medicine, education, law, and religion. - Provides a novel innovative reference on the emerging use of neuroimaging to reveal the biological substrates of character, such as optimism, honesty, generosity, and others - Features chapters from leading physicians and researchers in the field - Contains full-color text that includes both an overview of multiple disciplines and a detailed review of modern neuroimaging tools as they are applied to study human character - Presents an integrative volume with far-reaching implications for guiding future imaging research in the social, psychological and medical sciences, and for applying these findings to a wide range of non-clinical disciplines such as law, politics, and religion - Connects brain structure and function to human character and integrates modern neuroimaging techniques and other research methods for this purpose
| Author | : Guorong Wu |
| Publisher | : Academic Press |
| Total Pages | : 514 |
| Release | : 2016-08-11 |
| Genre | : Computers |
| ISBN | : 0128041145 |
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
