Description
Book SynopsisPsychiatry is dedicated to understanding mental disorders and helping people struggling with them live fulfilling lives. Although current treatment modalities can be remarkably effective at improving patients' quality of life and mitigating the burden of symptoms for disorders like depression, bipolar disorder, or posttraumatic stress disorder, finding the right treatment for an individual can be a long and fraught process during which symptoms can worsen the risks associated with other health conditions.
Precision psychiatry, as outlined in this groundbreaking book, presents a new path forward. By integrating findings from basic and clinical neuroscience, clinical practice, and population-level data, the field seeks to develop therapeutic approaches tailored for specific individuals with a specific constellation of health issues, characteristics, strengths, and symptoms.
This guide harnesses the expertise of more than three dozen contributors in diverse areas of interest, including neuroimaging, electrophysiology, neurocognition, behavioral science, machine learning, and pharmacotherapy, to examine the current state of precision medicine in psychiatry and explore future areas of advancement.
Numerous case examples illustrate and apply the principles of precision psychiatry to mood and anxiety disorders, as well as schizophrenia, in adult patients, emphasizing the push to develop biomarkers and algorithms that will identify subtypes of patients that may be underserved by conventional therapies.
In these pages, educators, trainees, and clinicians will find the latest research in precise classification, treatment planning, and early identification across a spectrum of psychiatric disorders—and the foundation for a future where one-size-fits-all treatments are replaced by modalities optimized for individual patients across all stages of a disorder.
Table of ContentsForeword
Preface
Introduction
Part 1: Neuroimaging of Circuits
Chapter 1. A Neural Circuit-Informed Taxonomy for Precision Psychiatry
Chapter 2. The Future of Precision TMS in Psychiatry
Chapter 3. Neural Mechanisms of Bipolar Disorder
Part 2: Neurocognition, Neurophysiology, and Behavior
Chapter 4. Information Processing Impairments as Transdiagnostic Treatment Targets
Chapter 5. State-Sensitive Vision Science-Based Markers in People with Schizophrenia
Part 3: Blood Markers
Chapter 6. Using Inflammatory Biomarkers to Identify Transdiagnostic Subtypes
Chapter 7. Pharmacogenetic Testing
Part 4: Translational Neurobiological Approaches
Chapter 8. Treatment Prediction Biomarkers for Major Depression
Chapter 9. Translational Neurobiological Approaches to Precision Medicine
Part 5: New Approaches and Computational Models That Bridge Neuroscience Insights and Clinical Application
Chapter 10. Latent Variable-Based Predictive and Explanatory Disease Models
Chapter 11. Computational Cognitive Methods for Precision Psychiatry
Chapter 12. Toward Precision CBT via Reinforcement Learning Theory
Part 6: Developing the Academic Discipline of Precision Psychiatry
Chapter 13. Moving from Precision to Personalized Psychiatry: Clinical Perspectives
Chapter 14. Preparing for the Future of Precision Psychiatry
Index
