Connectomic Medicine
eBook - ePub

Connectomic Medicine

Guide to Brain AI in Treatment Decision Planning

  1. 250 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Connectomic Medicine

Guide to Brain AI in Treatment Decision Planning

About this book

Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine, including discussions on techniques, applications, novel ideas, and in case examples that highlight the state-of-the-art. Written by pioneers, this volume serves as the foundation for all neuroscience clinicians/researchers venturing into the field of AI medicine, its realistic applications, and how to integrate AI connectomics into clinical practice. With widespread applications in neurology, neurosurgery and psychiatry, this book is appropriate for anyone interested in cerebral network anatomy, imaging techniques, and insights into this emerging field. - Empowers readers to utilize clinically applicable AI platforms to enhance current neurological and psychiatric practices - Provides understanding on how brain connectomics pertain to patients with brain-related ailments - Serves as a guide towards maximally using existing connectomics software - Details relevant clinical and radiological background

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Yes, you can access Connectomic Medicine by Michael E. Sughrue,Jacky T. Yeung,Nicholas B. Dadario in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Connectomic Medicine
  2. Table of Contents
  3. Chapter 1 Why should you learn something new?
  4. Introduction: One step forward or two steps back?
  5. Chapter 2 How to map a connectome
  6. What does the connectome approach add to previous neuroimaging techniques?
  7. Chapter 3 The anatomy of human brain networks
  8. A better anatomically specific nomenclature for structure and function
  9. Chapter 4 Updating the traditional Brodmann’s Atlas based on structural and functional connectivity
  10. Chapter 5 The transdiagnostic model of mental illness and cognitive dysfunction
  11. Introducing a transdiagnostic hypothesis
  12. Chapter 6 Reimagining neurocognitive functions as emergent phenomena
  13. Introduction
  14. Chapter 7 Brain stimulation techniques
  15. Introduction
  16. Chapter 8 Machine learning and its utility in connectomic medicine
  17. Introduction
  18. Chapter 9 Fundamentals of connectome based decision making and targeting
  19. Introduction
  20. Chapter 10 Using the connectome in psychotherapy and other psychiatric therapies
  21. Introduction
  22. Chapter 11 How to organize a connectomics-driven neuroscience clinic
  23. Introduction
  24. Chapter 12 Connectomic approaches to neurosurgical planning
  25. Introduction
  26. Chapter 13 Connectomic strategies for post-neurosurgical applications
  27. Introduction
  28. Chapter 14 Connectomic strategies for stroke patients
  29. Introduction
  30. Chapter 15 Connectomic strategies for depression and anxiety
  31. Introduction
  32. Chapter 16 Connectomic strategy for the treatment of postconcussive syndrome
  33. Introduction
  34. Chapter 17 Connectomic strategies for treating chronic tinnitus associated with psychiatric disorders
  35. Introduction
  36. Chapter 18 Connectomic approach to treating everything else
  37. Introduction
  38. Index