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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
This volume covers the current status of research in the neurobiology of motivated behaviors in humans and other animals in healthy condition. This includes consideration of the psychological processes that drive motivated behavior and the anatomical, electrophysiological and neurochemical mechanisms which drive these processes and regulate behavioural output. The volume also includes chapters on pathological disturbances in motivation including apathy, or motivational deficit as well as addictions, the pathological misdirection of motivated behavior. As with the chapters on healthy motivational processes, the chapters on disease provide a comprehensive up to date review of the neurobiological abnormalities that underlie motivation, as determined by studies of patient populations as well as animal models of disease. The book closes with a section on recent developments in treatments for motivational disorders.
Up-to-date discussion of the etiology, diagnosis, treatment, and prevention of this common cause of stroke and cognitive impairment.
Motivation: Theory, Neurobiology and Applications is inspired by a question central to health care professionals, teachers, parents, and coaches alike, "How can an individual be motivated to perform a given activity or training?" It presents novel measurements of motivation developed in psychology and economics, recent insights into the neurobiology of motivation, and current research on applications designed to boost motivation in neurorehabilitation, education, and sports. In addition, tactics on how to connect these different research and knowledge fields within a common (theoretical) framework of motivation is discussed. Thus, in short, the book provides an integrative, interdisciplinary, up-to-date accounting on the neurobiology of motivation and how it might be boosted. - Provides an integration of the neurosciences, their clinical challenges, and applicable research - Includes both an interdisciplinary and integrative nature - Contains a broad array of subject matter that will be of interest to a large target audience - Presents contributions from experts in their respective fields
Psychiatrists and neuroscientists discuss the potential of computational approaches to address problems in psychiatry including diagnosis, treatment, and integration with neurobiology. Modern psychiatry is at a crossroads, as it attempts to balance neurological analysis with psychological assessment. Computational neuroscience offers a new lens through which to view such thorny issues as diagnosis, treatment, and integration with neurobiology. In this volume, psychiatrists and theoretical and computational neuroscientists consider the potential of computational approaches to psychiatric issues. This unique collaboration yields surprising results, innovative synergies, and novel open questions. The contributors consider mechanisms of psychiatric disorders, the use of computation and imaging to model psychiatric disorders, ways that computation can inform psychiatric nosology, and specific applications of the computational approach. Contributors Susanne E. Ahmari, Huda Akil, Deanna M. Barch, Matthew Botvinick, Michael Breakspear, Cameron S. Carter, Matthew V. Chafee, Sophie Denève, Daniel Durstewitz, Michael B. First, Shelly B. Flagel, Michael J. Frank, Karl J. Friston, Joshua A. Gordon, Katia M. Harlé, Crane Huang, Quentin J. M. Huys, Peter W. Kalivas, John H. Krystal, Zeb Kurth-Nelson, Angus W. MacDonald III, Tiago V. Maia, Robert C. Malenka, Sanjay J. Mathew, Christoph Mathys, P. Read Montague, Rosalyn Moran, Theoden I. Netoff, Yael Niv, John P. O'Doherty, Wolfgang M. Pauli, Martin P. Paulus, Frederike Petzschner, Daniel S. Pine, A. David Redish, Kerry Ressler, Katharina Schmack, Jordan W. Smoller, Klaas Enno Stephan, Anita Thapar, Heike Tost, Nelson Totah, Jennifer L. Zick
This is the first book to address the clinical and neurobiological interface between schizophrenia and obsessive-compulsive disorder (OCD). There is growing evidence that obsessive-compulsive symptoms in schizophrenia are prevalent, persistent and characterized by a distinct pattern of familial inheritance, neurocognitive deficits and brain activation. This text provides guidelines for differential diagnosis of schizophrenic patients with obsessive-compulsive symptoms, and patients with primary OCD alongside poor insight, psychotic features or schizotypal personality. Written by a leading expert in the coexistence of obsessive-compulsive and schizophrenic phenomena, Schizo-Obsessive Disorder uses numerous case studies to present diagnostic guidelines and to describe a recommended treatment algorithm, demystifying this complex disorder and aiding its effective management. The book is essential reading for psychiatrists, neurologists and the wider range of multidisciplinary mental health practitioners.
From Aaron T. Beck and colleagues, this is the definitive work on the cognitive model of schizophrenia and its treatment. The volume integrates cognitive-behavioral and biological knowledge into a comprehensive conceptual framework. It examines the origins, development, and maintenance of key symptom areas: delusions, hallucinations, negative symptoms, and formal thought disorder. Treatment chapters then offer concrete guidance for addressing each type of symptom, complete with case examples and session outlines. Anyone who treats or studies serious mental illness will find a new level of understanding together with theoretically and empirically grounded clinical techniques.
One of the major neuroscience publications of the past few years, Cingulate Neurobiology and Disease presents the definitive review of the cingulate cortex, explaining its critical role in a host of diseases and illnesses.
This unique manual presents cognitive-behavioral social skills training (CBSST), a step-by-step, empirically supported intervention that helps clients with schizophrenia achieve recovery goals related to living, learning, working, and socializing. CBSST interweaves three evidence-based practices--cognitive-behavioral therapy, social skills training, and problem-solving training--and can be delivered in individual or group contexts. Highly user friendly, the manual includes provider scripts, teaching tools, and engaging exercises and activities. Reproducible consumer workbooks for each module include skills summaries and worksheets. The large-size format facilitates photocopying; purchasers also get access to a Web page where they can download and print the reproducible materials. Listed in SAMHSA's National Registry of Evidence-Based Programs and Practices