Personalized Psychiatry presents the first book to explore this novel field of biological psychiatry that covers both basic science research and its translational applications. The book conceptualizes personalized psychiatry and provides state-of-the-art knowledge on biological and neuroscience methodologies, all while integrating clinical phenomenology relevant to personalized psychiatry and discussing important principles and potential models. It is essential reading for advanced students and neuroscience and psychiatry researchers who are investigating the prevention and treatment of mental disorders.


　Key Features
　　　ㆍ　Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics
　　　ㆍ　Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry
　　　ㆍ　Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective

Preface

1. What is personalized psychiatry and why is it necessary?
2. The modeling of trajectories in psychotic illness
3. Mood trajectories as a basis for personalized psychiatry in young people
4. Transdiagnostic early intervention, prevention, and prediction in psychiatry
5. Early intervention, prevention, and prediction in mood disorders: Tracking multidimensional outcomes in young people presenting for mental health care
6. Consumer participation in personalized psychiatry
7. Experimental validation of psychopathology in personalized psychiatry
8. Deep brain stimulation for major depression: A prototype of a personalized treatment in psychiatry
9. The Psychiatric Genomics Consortium: History, development, and the future
10. Statistical genetic concepts in psychiatric genomics
11. Opportunities and challenges of machine learning approaches for biomarker signature identification in psychiatry
12. Personalized psychiatry with human iPSCs and neuronal reprogramming
13. Genetics of alcohol use disorder
14. Genomics of autism spectrum disorders
15. Genomics of schizophrenia
16. Genomics of major depressive disorder
17. Personalized mental health: Artificial intelligence technologies for treatment response prediction in anxiety disorders
18. The genetic architecture of bipolar disorder: Entering the road of discoveries
19. Genomics of borderline personality disorder
20. Genetics of obsessive-compulsive disorder and Tourette disorder
21. Genetics and pharmacogenetics of attention deficit hyperactivity disorder in childhood and adulthood
22. Genomics of Alzheimer’s disease
23. Current progress and future direction in the genetics of PTSD: Focus on the development and contributions of the PGC-PTSD working group
24. Genomic contributions to anxiety disorders
25. Proteomics for diagnostic and therapeutic blood biomarker discovery in schizophrenia and other psychotic disorders
26. Molecular biomarkers in depression: Toward personalized psychiatric treatment
27. Neuroimaging biomarkers of late-life major depressive disorder pathophysiology, pathogenesis, and treatment response
28. Copy number variants in psychiatric disorders
29. Gene-environment interaction in psychiatry
30. Epigenetics: A new approach to understanding mechanisms in depression and to predict antidepressant treatment response
31. Gene coexpression network and machine learning in personalized psychiatry
32. Pharmacogenomics of bipolar disorder
33. Pharmacogenomics of treatment response in major depressive disorder
34. Genomic treatment response prediction in schizophrenia
35. Personalized treatment in bipolar disorder
36. Genetic testing in psychiatry: State of the evidence
37. Opportunities and challenges of implementation models of pharmacogenomics in clinical practice
38. Metabolomics in psychiatry
39. Real-time fMRI brain-computer interface: A tool for personalized psychiatry?
40. How functional neuroimaging can be used for prediction and evaluation in psychiatry
41. Neuroimaging, genetics, and personalized psychiatry: Developments and opportunities from the ENIGMA consortium
42. Applying a neural circuit taxonomy in depression and anxiety for personalized psychiatry
43. Multimodal modeling for personalized psychiatry
44. Standardized biomarker and biobanking requirements for personalized psychiatry
45. Ethical, policy, and research considerations for personalized psychiatry
46. The future of personalized psychiatry