This volume looks at the latest advancements in imaging neuroscience methods using magnetic resonance imaging (MRI) and electroencephalography (EEG) to study the healthy and diseased brain. The chapters in this book are organized into five parts. Parts One and Two cover an introduction to this field and the latest use of molecular models. Part Three explores neurophysiological methods for assessment, such as quantitative EEG and event-related potentials. Part Four discusses the advances and innovations made in computational anatomy, and Part Five addresses the challenges faced by researchers prior to the computational neuroscience to find wider translational applications in the field of psychiatry and mental health. In the Neuromethods series style, chapters include the kind of detail and key advice from the specialists needed to get successful results in your laboratory.  Cutting-edge and comprehensive, Computational Neuroscience is a valuable tool for researchers in the psychiatry and mental health fields who want to learn more about ways to incorporate computational approaches into utility and validity of clinical methods.

This book provides a comprehensive review of new developments in the study of language processing and related neural networks in schizophrenia by addressing the complex link between psychopathology, language and evolution at different levels of analysis. Psychopathological symptoms in schizophrenia are mainly characterized by thought and language disorders, which are strictly intertwined. In particular, language is the distinctive dimension of human beings and is ontologically related to brain development. Although normal at the levels of segmental phonology and morphological organization, the speech of patients suffering from schizophrenia is often characterized by flattened intonation and word-finding difficulties. Furthermore, research suggests that the superior temporal gyrus and specific prefrontal areas which support language in humans are altered in people with schizophrenia. Brambilla and Marini bring together international contributors to explore the link between brain evolution and the psychopathological features of schizophrenia, with a focus on language and its neural underpinnings. Divided into three sections the book covers: * brain evolution and language phylogenesis * brain abnormalities in schizophrenia * psychopathology and schizophrenia. This theoretical approach will appeal to professionals including clinical psychologists, cognitive neuroscientists, neuropsychiatrists, neuropsychologists, neurolinguists, and researchers considering the links between brain evolution, language and psychopathology in schizophrenia.

This book provides a comprehensive review of new developments in the study of language processing and related neural networks in schizophrenia by addressing the complex link between psychopathology, language and evolution at different levels of analysis. Psychopathological symptoms in schizophrenia are mainly characterized by thought and language disorders, which are strictly intertwined. In particular, language is the distinctive dimension of human beings and is ontologically related to brain development. Although normal at the levels of segmental phonology and morphological organization, the speech of patients suffering from schizophrenia is often characterized by flattened intonation and word-finding difficulties. Furthermore, research suggests that the superior temporal gyrus and specific prefrontal areas which support language in humans are altered in people with schizophrenia. Brambilla and Marini bring together international contributors to explore the link between brain evolution and the psychopathological features of schizophrenia, with a focus on language and its neural underpinnings. Divided into three sections the book covers: * brain evolution and language phylogenesis * brain abnormalities in schizophrenia * psychopathology and schizophrenia. This theoretical approach will appeal to professionals including clinical psychologists, cognitive neuroscientists, neuropsychiatrists, neuropsychologists, neurolinguists, and researchers considering the links between brain evolution, language and psychopathology in schizophrenia.

Bipolar Disorder Vulnerability: Perspectives from Pediatric and High-Risk Populations synthesizes our current understanding of high-risk and pediatric populations to aid readers in identifying markers of vulnerability for the development of bipolar disorder, with an ultimate goal of the development of drug targets and other therapies for early diagnosis and treatment. The book provides readers with an understanding of biological and environmental factors influencing disease manifestation that will aid them in defining discrete clinical stages and, importantly, establish an empirical basis for the application of novel therapeutics in a phase of illness during which specific treatments could more effectively alter disease course. Whereas most of the literature available on the pathophysiological mechanisms of bipolar disorder focuses on chronically ill adult individuals, this represents the only book that specifically examines pediatric and high-risk populations. An estimated 30 to 60 percent of adult bipolar disorder patients have their disease onset during childhood, with early-onset cases representing a particularly severe and genetically loaded form of the illness.

Mood disorders such as depression and bipolar disorder are common mental illnesses, affecting millions of patients worldwide. The application of newly available brain imaging methods to the study of mood disorders holds substantial promise in uncovering the brain mechanisms affected in these illnesses. This comprehensive and authoritative text features contributions from leading international experts, providing easily accessible information on the study of the brain mechanisms involved in the causation of mood disorders and the available treatments. Topics covered include the potential of magnetoencephalography (MEG), neuroimaging brain inflammation in depression, electrophysiology studies in mood disorders, and the applications of machine learning, filling an important gap in available neuropsychiatric literature and highlighting new developments. An invaluable resource for practitioners in the fields of psychiatry, neurology, primary care medicine, and related mental health professions, as well as researchers, students, graduate and post-graduate trainees.