Brain Network Dysfunction In Neuropsychiatric Illness

Brain network function and dysfunction is the dominant model for understanding how the brain gives rise to normal and abnormal behavior. Moreover, neuropsychiatric illnesses continue to resist attempts to reveal an understanding of their bases. Thus, this timely volume provides a synthesis of the uses of multiple analytic methods as they are applied to neuroimaging data, to seek understanding of the neurobiological bases of psychiatric illnesses, understanding that can subsequently aid in their management and treatment. A principle focus is on the analyses and application of methods to functional magnetic resonance imaging (fMRI) data. fMRI remains the most widely used neuroimaging technique for estimating brain network function, and several of the methods covered can estimate brain network dysfunction in resting and task-active states. Additional chapters provide details on how these methods are (and can be) applied in the understanding of several neuropsychiatric disorders, including schizophrenia, mood disorders, autism, borderline personality disorder, and attention deficit hyperactivity disorder (ADHD). A final complement of chapters provides a collective overview of how this framework continues to provoke theoretical advances in our conception of the brain in psychiatry. This unique volume is designed to be a comprehensive resource for imaging researchers interested in psychiatry, and for psychiatrists interested in advanced imaging applications.

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The genetic correlates of neuropsychiatric disorders are now known, but none have come close to explaining the great variety of human psychiatric illnesses. This volume, written by a neuropsychiatrist and an evolutionary biologist, offers a new paradigm for understanding these disorders. Proposing that neuronal pathways which underlie neuropsychiatric conditions mirror unique human capabilities, the authors iterate a new paradigm by which to understand human psychiatric illnesses. Human capabilities such as theory of mind, language, and complex social behaviors are explored through their histological, neuroanatomical and functional brain imaging correlates. The capacity for representation, the authors suggest, is central to the understanding of the human brain. Brain structures such as the frontal pole, temporal pole, and fronto-insular cortex are highly developed in humans and are associated with representation. Other brain regions, including the dorsal anterior cingulate cortex, auditory cortex, and hippocampus, are linked with directed effort while the ventral anterior cingulate cortex, orbital frontal cortex, and amygdala are related to emotional encoding. Both networks interact with representional regions and the dorsolateral prefrontal cortex. Conditions like schizophrenia may result, in part, from a failure of the networks associated with directed effort while bipolar disorders may arise from a failure of networks associated with emotional encoding. Similarly, autism may result from a failure of representational brain regions; frontotemporal dementia may be associated with failure of several discrete networks in later life. From this perspective, neuropsychiatric disorders are selective failures of brain networks involved in the integration of cognition, affect and perception. A better understanding of these brain networks will assist psychiatric and mental health researchers in the search for environmental factors and genetic correlates of disorders as well as aid in the development of more effective treatments for these diseases. This volume will be of interest to psychiatrists, neurologists, psychologists, biologists, and imaging scientists--anyone who has ever wondered what makes the human brain human.

Neuropsychiatric disorders have a huge impact on individuals, families and societies. However, the neuropathology underlying cognitive deficits in neuropsychiatric disorders remains unclear. Resting-state functional connectivity provides a powerful way to investigate functional alterations underlying cognitive deficits in neuropsychiatric disorders. Traditional FC analysis measures the correlations of signals with an assumption that functional connectivity remains constant during the observation period. In recent years, several studies have demonstrated the feasibility of dynamic methods in characterization of functional brain changes, such as dynamic functional connectivity investigated by a sliding window method. However, selection of window size, window stepsize and window type are open areas of research and an important parameter to capture the resting-state FC dynamics.

This new volume in the Handbook of Clinical Neurology presents a comprehensive review of the fundamental science and clinical treatment of psychiatric disorders. Advances in neuroscience have allowed for dramatic advances in the understanding of psychiatric disorders and treatment. Brain disorders, such as depression and schizophrenia, are the leading cause of disability worldwide. It is estimated that over 25% of the adult population in North America are diagnosed yearly with at least one mental disorder and similar results hold for Europe. Now that neurology and psychiatry agree that all mental disorders are in fact, "brain diseases," this volume provides a foundational introduction to the science defining these disorders and details best practices for psychiatric treatment. Provides a comprehensive review of the scientific foundations of psychiatric disorders and psychiatric treatment Includes detailed results from genetics, molecular biology, brain imaging, and neuropathological, immunological, epidemiological, metabolic, therapeutic and historical aspects of the major psychiatric disorders A "must have" reference and resource for neuroscientists, neurologists, psychiatrists, and clinical psychologists as well as all research scientists investigating disorders of the brain

Psychiatric disorders are brain disorders, reflecting dysfunction within and across neural networks. Advances in functional neuroimaging and cellular neuroscience offer hope of revolutionizing the approach to diagnosis and treatment of mental illnesses. This resource presents an introduction to network neuroscience and demonstrates the relationship of advances in this field to the future of psychiatry. Oxford Clinical Neuroscience is a comprehensive, cross-searchable collection of resources offering quick and easy access to eleven of Oxford University Press's prestigious neuroscience texts. Joining Oxford Medicine Online these resources offer students, specialists and clinical researchers the best quality content in an easy-to-access format.

Neuropsychiatric diseases, such as schizophrenia, Alzheimer's disease, and etc., represent a serious medical and socioeconomic problems. These diseases are often accompanied by impairments of cognitive function, e.g., abstract thinking, decision-making, attention, and several types of memory. Such deficits significantly disrupt quality of life and daily functioning of patients. Cognitive deficits in neuropsychiatric diseases are associated with alterations of brain morphology and function, and are often resistant to therapeutic interventions. In schizophrenia and related disorders, cognitive deficits are also defined as endophenotypes, i.e. measurable phenotypes linking these disaeses with discrete heritable and reproducible traits. This points to the importance of elucidating these endophenotypes in translational studies. Animal models may not mimic the full spectrum of clinical symptoms, but may act as analogies of particular behaviors or other pathological outcomes. They are useful to search for the etiology of particular psychiatric illnesses and novel therapeutics. Moreover, several behavioral tests to measure cognitive performance in rodents and other species have been implemented. The primary focus of the present topic is to provide up-to-date information on cognitive deficits of neuropsychiatric disorders, such as schizophrenia. This Research Topic also delineates future directions for translational studies aimed at developing novel treatments/interventions of cognitive disturbances.

An informative and comprehensive review from the leading researchers in the field, this book provides a complete one-stop guide to neuroimaging techniques and their application to a wide range of neuropsychiatric disorders. For each disorder or group of disorders, separate chapters review the most up-to-date findings from structural imaging, functional imaging and/or molecular imaging. Each section ends with an overview from a internationally-renowned luminary in the field, addressing the question of 'What do we know and where are we going?' Richly illustrated throughout, each chapter includes a 'summary box', providing readers with explicit take-home messages. This is an essential resource for clinicians, researchers and trainees who want to learn how neuroimaging tools lead to new discoveries about brain and behaviour associations in neuropsychiatric disorders.

This book covers novel approaches using networks and oscillations and it will serve as a catalyst for translating these exciting advancements into the clinical arena. This collection of articles aims to accelerate the widespread clinical translation of network approaches by providing practical information accessible to clinicians in neurology and psychiatry - fields that are uniquely poised to implement these developments in clinical treatment of brain diseases. It should be a useful resource for researchers and clinicians in neurology and psychiatry.