'Psychiatry as Cognitive Neuroscience' is a philosophical analysis of the study of psychpathology, considering how cognitive neuroscience has been applied in psychiatry. The text examines many neuroscientific methods, such as neuroimaging, and a variety of psychiatric disorders, including depression, and schizophrenia.

In recent years the clinical and cognitive sciences and neuroscience have contributed important insights to understanding the self. The neuroscientific study of the self and self-consciousness is in its infancy in terms of established models, available data and even vocabulary. However, there are neuropsychiatric conditions, such as schizophrenia, in which the self becomes disordered and this aspect can be studied against healthy controls through experiment, building cognitive models of how the mind works, and imaging brain states. In this 2003 book, the first to address the scientific contribution to an understanding of the self, an eminent, international team focuses on current models of self-consciousness from the neurosciences and psychiatry. These are set against introductory essays describing the philosophical, historical and psychological approaches, making this a uniquely inclusive overview. It will appeal to a wide audience of scientists, clinicians and scholars concerned with the phenomenology and psychopathology of the self.

Problems of Living: Perspectives from Philosophy, Psychiatry, and Cognitive-Affective Science addresses philosophical questions related to problems of living, including questions about the nature of the brain-mind, reason and emotion, happiness and suffering, goodness and truth, and the meaning of life. It draws on critical, pragmatic, and embodied realism as well as moral naturalism, and brings arguments from metaphysics, epistemology, and ethics together with data from cognitive-affective science. This multidisciplinary integrated approach provides a novel framework for considering not only the nature of mental disorders, but also broader issues in mental health, such as finding pleasure and purpose in life. - Draws on the strongest aspects of polar positions in philosophy and psychiatry to help resolve important perennial debates in these fields - Explores continuities between early philosophical work and current cognitive-affective sciences, including neuroscience and psychology - Employs findings from modern cognitive-affective science to rethink key long-standing debates in philosophy and psychiatry - Builds on work showing how mind is embodied in the brain, and embedded in society, to provide an integrated conceptual framework - Assesses both the insights and the limitations of cognitive-affective science for addressing the big questions and hard problems of living

Computational Psychiatry: Mathematical Modeling of Mental Illness is the first systematic effort to bring together leading scholars in the fields of psychiatry and computational neuroscience who have conducted the most impactful research and scholarship in this area. It includes an introduction outlining the challenges and opportunities facing the field of psychiatry that is followed by a detailed treatment of computational methods used in the service of understanding neuropsychiatric symptoms, improving diagnosis and guiding treatments. This book provides a vital resource for the clinical neuroscience community with an in-depth treatment of various computational neuroscience approaches geared towards understanding psychiatric phenomena. Its most valuable feature is a comprehensive survey of work from leaders in this field. - Offers an in-depth overview of the rapidly evolving field of computational psychiatry - Written for academics, researchers, advanced students and clinicians in the fields of computational neuroscience, clinical neuroscience, psychiatry, clinical psychology, neurology and cognitive neuroscience - Provides a comprehensive survey of work from leaders in this field and a presentation of a range of computational psychiatry methods and approaches geared towards a broad array of psychiatric problems

The first introductory textbook in the emerging, fast-developing field of computational psychiatry. Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.

Psychotherapy In an Age of Neuroscience proposes that psychiatrists can and should continue to use psychotherapy in their practice, and not restrict themselves to medication and brief symptom checks. This is a book that proposes a detailed agenda for redefining the agenda of psychiatry.

Research in neuroscience is revolutionizing how we think about psychiatric diagnosis and treatment. Psychiatric disorders reflect dysfunction of the human mind and involve changes in cognition, emotion, and motivation. Understanding how the neural networks that underlie these mental functions become dysfunctional holds great promise for devising innovative approaches to diagnosis and treatment. Scientific progress is being driven, in part, by advances in human functional neuroimaging, which is being used to characterize the activity of specific brain circuits at rest and during the performance of specific tasks. Moreover, advances in clinical neuroscience are being coupled with expanding knowledge about genetics and cellular and synaptic neuroscience. Taken together, these advancements offer the hope of much more mechanism-based approaches to treatment in the future. Better understanding of neural circuits also can provide the basis for innovative psychotherapeutic strategies that take advantage of brain plasticity for purposes of neurorehabilitation. In this book, we examine recent developments in the field of network neuroscience and their potential impact on clinical psychiatry, including the way that psychiatrists are trained and interact with other medical specialties and mental health professionals.