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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xvii 6. Preface - p. xxv 7. Chapter 1: What is personalized psychiatry and why is it necessary? - p. xxv 8. Chapter 2: The modeling of trajectories in psychotic illness - p. 2 9. Chapter 3: Mood trajectories as a basis for personalized psychiatry in young people - p. 12 10. Chapter 4: Transdiagnostic early intervention, prevention, and prediction in psychiatry - p. 26 11. Chapter 5: Early intervention, prevention, and prediction in mood disorders: Tracking multidimensional outcomes in young people presenting for mental health care - p. 37 12. Chapter 6: Consumer participation in personalized psychiatry - p. 62 13. Chapter 7: Experimental validation of psychopathology in personalized psychiatry - p. 68 14. Chapter 8: Deep brain stimulation for major depression: A prototype of a personalized treatment in psychiatry - p. 82 15. Chapter 9: The Psychiatric Genomics Consortium: History, development, and the future - p. 89 16. Chapter 10: Statistical genetic concepts in psychiatric genomics - p. 101 17. Chapter 11: Opportunities and challenges of machine learning approaches for biomarker signature identification in psychiatry - p. 116 18. Chapter 12: Personalized psychiatry with human iPSCs and neuronal reprogramming - p. 126 19. Chapter 13: Genetics of alcohol use disorder - p. 146 20. Chapter 14: Genomics of autism spectrum disorders - p. 159 21. Chapter 15: Genomics of schizophrenia - p. 171 22. Chapter 16: Genomics of major depressive disorder - p. 186 23. Chapter 17: Personalized mental health: Artificial intelligence technologies for treatment response prediction in anxiety disorders - p. 200 24. Chapter 18: The genetic architecture of bipolar disorder: Entering the road of discoveries - p. 213 25. Chapter 19: Genomics of borderline personality disorder - p. 225 26. Chapter 20: Genetics of obsessive-compulsive disorder and Tourette disorder - p. 237 27. Chapter 21: Genetics and pharmacogenetics of attention deficit hyperactivity disorder in childhood and adulthood - p. 252 28. Chapter 22: Genomics of Alzheimer’s disease - p. 274 29. Chapter 23: Current progress and future direction in the genetics of PTSD: Focus on the development and contributions of the PGC-PTSD working group - p. 283 30. Chapter 24: Genomic contributions to anxiety disorders - p. 296 31. Chapter 25: Proteomics for diagnostic and therapeutic blood biomarker discovery in schizophrenia and other psychotic disorders - p. 306 32. Chapter 26: Molecular biomarkers in depression: Toward personalized psychiatric treatment - p. 317 33. Chapter 27: Neuroimaging biomarkers of late-life major depressive disorder pathophysiology, pathogenesis, and treatment response - p. 338 34. Chapter 28: Copy number variants in psychiatric disorders - p. 356 35. Chapter 29: Gene-environment interaction in psychiatry - p. 362 36. Chapter 30: Epigenetics: A new approach to understanding mechanisms in depression and to predict antidepressant treatment response - p. 373 37. Chapter 31: Gene coexpression network and machine learning in personalized psychiatry - p. 383 38. Chapter 32: Pharmacogenomics of bipolar disorder - p. 392 39. Chapter 33: Pharmacogenomics of treatment response in major depressive disorder - p. 402 40. Chapter 34: Genomic treatment response prediction in schizophrenia - p. 412 41. Chapter 35: Personalized treatment in bipolar disorder - p. 422 42. Chapter 36: Genetic testing in psychiatry: State of the evidence - p. 436 43. Chapter 37: Opportunities and challenges of implementation models of pharmacogenomics in clinical practice - p. 448 44. Chapter 38: Metabolomics in psychiatry - p. 457 45. Chapter 39: Real-time fMRI brain-computer interface: A tool for personalized psychiatry? - p. 464 46. Chapter 40: How functional neuroimaging can be used for prediction and evaluation in psychiatry - p. 470 47. Chapter 41: Neuroimaging, genetics, and personalized psychiatry: Developments and opportunities from the ENIGMA consortium - p. 481 48. Chapter 42: Applying a neural circuit taxonomy in depression and anxiety for personalized psychiatry - p. 497 49. Chapter 43: Multimodal modeling for personalized psychiatry - p. 519 50. Chapter 44: Standardized biomarker and biobanking requirements for personalized psychiatry - p. 536 51. Chapter 45: Ethical, policy, and research considerations for personalized psychiatry - p. 547 52. Chapter 46: The future of personalized psychiatry - p. 557 53. Index - p. 559
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.
1. Cover image - p. iv 2. Title page - p. iv 3. Table of Contents - p. iv 4. Copyright - p. iv 5. Contributors - p. xvii 6. Preface - p. xxv 7. Chapter 1: What is personalized psychiatry and why is it necessary? - p. xxv 8. Chapter 2: The modeling of trajectories in psychotic illness - p. 2 9. Chapter 3: Mood trajectories as a basis for personalized psychiatry in young people - p. 12 10. Chapter 4: Transdiagnostic early intervention, prevention, and prediction in psychiatry - p. 26 11. Chapter 5: Early intervention, prevention, and prediction in mood disorders: Tracking multidimensional outcomes in young people presenting for mental health care - p. 37 12. Chapter 6: Consumer participation in personalized psychiatry - p. 62 13. Chapter 7: Experimental validation of psychopathology in personalized psychiatry - p. 68 14. Chapter 8: Deep brain stimulation for major depression: A prototype of a personalized treatment in psychiatry - p. 82 15. Chapter 9: The Psychiatric Genomics Consortium: History, development, and the future - p. 89 16. Chapter 10: Statistical genetic concepts in psychiatric genomics - p. 101 17. Chapter 11: Opportunities and challenges of machine learning approaches for biomarker signature identification in psychiatry - p. 116 18. Chapter 12: Personalized psychiatry with human iPSCs and neuronal reprogramming - p. 126 19. Chapter 13: Genetics of alcohol use disorder - p. 146 20. Chapter 14: Genomics of autism spectrum disorders - p. 159 21. Chapter 15: Genomics of schizophrenia - p. 171 22. Chapter 16: Genomics of major depressive disorder - p. 186 23. Chapter 17: Personalized mental health: Artificial intelligence technologies for treatment response prediction in anxiety disorders - p. 200 24. Chapter 18: The genetic architecture of bipolar disorder: Entering the road of discoveries - p. 213 25. Chapter 19: Genomics of borderline personality disorder - p. 225 26. Chapter 20: Genetics of obsessive-compulsive disorder and Tourette disorder - p. 237 27. Chapter 21: Genetics and pharmacogenetics of attention deficit hyperactivity disorder in childhood and adulthood - p. 252 28. Chapter 22: Genomics of Alzheimer’s disease - p. 274 29. Chapter 23: Current progress and future direction in the genetics of PTSD: Focus on the development and contributions of the PGC-PTSD working group - p. 283 30. Chapter 24: Genomic contributions to anxiety disorders - p. 296 31. Chapter 25: Proteomics for diagnostic and therapeutic blood biomarker discovery in schizophrenia and other psychotic disorders - p. 306 32. Chapter 26: Molecular biomarkers in depression: Toward personalized psychiatric treatment - p. 317 33. Chapter 27: Neuroimaging biomarkers of late-life major depressive disorder pathophysiology, pathogenesis, and treatment response - p. 338 34. Chapter 28: Copy number variants in psychiatric disorders - p. 356 35. Chapter 29: Gene-environment interaction in psychiatry - p. 362 36. Chapter 30: Epigenetics: A new approach to understanding mechanisms in depression and to predict antidepressant treatment response - p. 373 37. Chapter 31: Gene coexpression network and machine learning in personalized psychiatry - p. 383 38. Chapter 32: Pharmacogenomics of bipolar disorder - p. 392 39. Chapter 33: Pharmacogenomics of treatment response in major depressive disorder - p. 402 40. Chapter 34: Genomic treatment response prediction in schizophrenia - p. 412 41. Chapter 35: Personalized treatment in bipolar disorder - p. 422 42. Chapter 36: Genetic testing in psychiatry: State of the evidence - p. 436 43. Chapter 37: Opportunities and challenges of implementation models of pharmacogenomics in clinical practice - p. 448 44. Chapter 38: Metabolomics in psychiatry - p. 457 45. Chapter 39: Real-time fMRI brain-computer interface: A tool for personalized psychiatry? - p. 464 46. Chapter 40: How functional neuroimaging can be used for prediction and evaluation in psychiatry - p. 470 47. Chapter 41: Neuroimaging, genetics, and personalized psychiatry: Developments and opportunities from the ENIGMA consortium - p. 481 48. Chapter 42: Applying a neural circuit taxonomy in depression and anxiety for personalized psychiatry - p. 497 49. Chapter 43: Multimodal modeling for personalized psychiatry - p. 519 50. Chapter 44: Standardized biomarker and biobanking requirements for personalized psychiatry - p. 536 51. Chapter 45: Ethical, policy, and research considerations for personalized psychiatry - p. 547 52. Chapter 46: The future of personalized psychiatry - p. 557 53. Index - p. 559
