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Personalized Psychiatry

  • ID: 4539994
  • Book
  • 352 Pages
  • Elsevier Science and Technology
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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.

  • Combines neurobiology with basic science methodologies in genomics, epigenomics and transcriptomics
  • Demonstrates how the statistical modeling of interacting biological and clinical information could transform the future of psychiatry
  • Addresses fundamental questions and requirements for personalized psychiatry from a basic research and translational perspective
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Section I: The concept of Personalized Psychiatry 1. What is Personalized Psychiatry and why is it necessary? 2. Principles of and Lessons Learned from Personalized Medicine 3. From Biological discovery to Change in Behaviour: the case of obesity 4. How to integrate clinical and biological information to a unified concept in Psychiatry

Section II: Biological and neuroscience methodologies and clinical phenomenology in Personalized Psychiatry 5. The Psychiatric Genomics Consortium: history, development and future 6. Genomics: Genetic underpinnings of disease vulnerability, onset and course of psychiatric disorders 7. Psychiatric Genetic Epidemiology: key concepts and possible applications 8. Genetic Profile Scores in Psychiatric Disorders 9. The area of bioinformatics and algorithms in Personalized Psychiatry? 10. Machine learning approach in Psychiatry: principles and outcomes 11. Proteomics as a novel methodology to uncover complex disease traits and biomarkers in mental illness 12. Transcriptomic: how can it be used to identify novel biomarkers? 13. Epigenetomics: a new mechanistic research approach to predict disease vulnerability and response to treatment? 14. Principles of Pharmacogenomics for the prediction of pharmacological treatment response 15. Structural Neuroimaging as a tool to predict vulnerability, diagnosis and outcome in depression 16. How can Functional Neuroimaging be used to predict treatment response 17. How Clinical Phenomenology contributes to Personalized Psychiatry

Section III: Clinical translation of Personalized Psychiatry 18. A Translational Concept of Personalized Psychiatry 19. Early intervention, Prevention and Prediction in Clinical Psychiatry 20. Predictive Modelling in Psychiatry 21. Signature Research in Schizophrenia 22. Pharmacogenomics of Treatment Response in Bipolar Disorder 23. Pharmacogenomics of Treatment response in Major Depressive Disorder 24. Personalized treatments for Anxiety disorders 25. Genomics of Borderline Personality Disorder 26. Deep Brain Stimulation: a prototype of individualized treatment in Psychiatry? 27. Personalized Psychotherapy: Principles and Potential 28. Implications for Health Care Ethics, Mental Health Policy and Research Funding 29. Participation in Personalized Psychiatry: the client, patient, consumer perspective 30. The Future of Personalized Psychiatry

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Baune, Bernhard
Professor Baune is Chair of Psychiatry and Head of the Discipline of Psychiatry at the University of Adelaide, Australia, and is a specialist psychiatrist internationally recognized for his work in the field of depression. He was the first researcher to link inflammation genetics with brain function (fMRI) and clinical treatment response, and has done significant work on the role of inflammatory and immunological genetic and non-genetic markers in various psychiatric conditions. He is the author of more than 420 peer-reviewed publications in such journals as The New England Journal of Medicine, The Lancet, Nat Genetics, JAMA Psychiatry and Mol Psychiatry.
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