Precision psychiatry : using neuroscience insights to inform personally tailored, measurement-based care / edited by Leanne M. Williams & Laura M. Hack.Material type: Computer fileLanguage: English Publication details: Washington, D.C : American Psychiatric Association Publishing, 2022Description: 1 online resource (302, pages) : color illustrationsContent type:
- online resource
- 9781615371587 (e-book)
- RC341 P91 2022
|Item type||Current library||Collection||Call number||Materials specified||Status||Notes||Date due||Barcode|
|Compact Discs||Ladislao N. Diwa Memorial Library Multimedia Section||Non-fiction||EB RC341 P91 2022 (Browse shelf(Opens below))||Available||PAV||EBP000340|
|Online E-Books||Ladislao N. Diwa Memorial Library Multimedia Section||Non-fiction||OEBP RC341 P91 2022 (Browse shelf(Opens below))||Available||PAV||OEBP000340|
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I. Neuroimaging of circuits -- 1. A neural circuit–informed taxonomy for precision psychiatry -- 2. The future of precision transcranial magnetic stimulation in psychiatry -- 3. Neural mechanisms of bipolar disorder toward personalized markers of future illness risk -- II. Neurocognition, neurophysiology, and behavior -- 4. Information processing impairments as transdiagnostic treatment targets in psychiatric disorders -- 5. State-sensitive biomarkers of specific computational processes for monitoring symptoms and predicting outcomes in people with schizophrenia -- III. Blood markers -- 6. Using inflammatory biomarkers to identify and treat transdiagnostic subtypes in psychiatric disorders -- 7. Pharmacogenetic testing : a tool for precision prescribing in psychiatry -- IV. Translational neurobiological approaches --
8. Treatment prediction biomarkers for major depressive disorder -- 9. Translational neurobiological approaches to precision medicine for fear and PTSD -- V. New approaches and computational models that bridge neuroscience insights and clinical application -- 10. Latent variable–based predictive and explanatory disease models -- 11. Computational cognitive methods for precision psychiatry -- 12. Toward precision cognitive-behavioral therapy via reinforcement learning theory -- VI. Developing the Academic discipline of precision psychiatry -- 13. Moving from precision to personalized psychiatry: clinical perspectives on the New Er --a 14. Preparing for the Future of precision psychiatry: the critical role of Neuroscience Education.
An estimated 970 million people worldwide experienced a mental or substance disorder in the past few years, and one in five people in the United States live with a mental disorder at some point in their lives. Progress in precision medicine in disciplines outside of psychiatry, such as oncology and cardiology, has inspired progress reflected in the contributions in this book. In these disciplines, biomarkers are combined with clinical features to stratify patients into subtypes that are more coherent than are overarching diagnostic categories. This approach allows for identifying subtypes that are underserved by available therapies and allows for developing novel therapies aimed at targets that are based on specific mechanisms that affect measurable outcomes and that are closer to underlying disease processes than are traditional clinical endpoints. This book illustrates timely advances emerging in precision medicine in psychiatry, focusing on mood and anxiety disorders as well as schizophrenia in adults. Contributors to this book have a common view that a neuroscience- and data-informed approach is required to advance precision medicine in psychiatry. This book includes case examples of the applications of the topics covered, and the last chapter discusses the critical role of neuroscience education in precision psychiatry. The authors represent a range of expertise and have played fundamental roles in the development of the discipline of precision psychiatry. Biomarkers in neuroimaging, electrophysiology, and peripheral serum, as well as variations in genetic markers, neurocognition, and behavior, are covered, as is the importance of computational approaches and machine learning. The authors also review the precise application of multiple treatment modalities that include pharmacotherapy, cognitive-behavioral therapy, neurostimulation, and cognitive training programs on the individual level. Finally, this book addresses issues of scalability and implementation, including the need for the tests to have analytic and clinical validity as well as clinical utility.
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