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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

1. Connectomic Medicine - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Dedication - p. v 6. Table of Contents - p. v 7. Chapter 1 Why should you learn something new? - p. 3 8. Chapter 2 How to map a connectome - p. 11 9. Chapter 3 The anatomy of human brain networks - p. 21 10. Chapter 4 Updating the traditional Brodmann’s Atlas based on structural and functional connectivity - p. 41 11. Chapter 5 The transdiagnostic model of mental illness and cognitive dysfunction - p. 133 12. Chapter 6 Reimagining neurocognitive functions as emergent phenomena - p. 151 13. Chapter 7 Brain stimulation techniques - p. 159 14. Chapter 8 Machine learning and its utility in connectomic medicine - p. 167 15. Chapter 9 Fundamentals of connectome based decision making and targeting - p. 177 16. Chapter 10 Using the connectome in psychotherapy and other psychiatric therapies - p. 189 17. Chapter 11 How to organize a connectomics-driven neuroscience clinic - p. 197 18. Chapter 12 Connectomic approaches to neurosurgical planning - p. 205 19. Chapter 13 Connectomic strategies for post-neurosurgical applications - p. 215 20. Chapter 14 Connectomic strategies for stroke patients - p. 225 21. Chapter 15 Connectomic strategies for depression and anxiety - p. 235 22. Chapter 16 Connectomic strategy for the treatment of postconcussive syndrome - p. 245 23. Chapter 17 Connectomic strategies for treating chronic tinnitus associated with psychiatric disorders - p. 251 24. Chapter 18 Connectomic approach to treating everything else - p. 261 25. Index - p. 277

Descripcion
Descripción

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

1. Connectomic Medicine - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Dedication - p. v 6. Table of Contents - p. v 7. Chapter 1 Why should you learn something new? - p. 3 8. Chapter 2 How to map a connectome - p. 11 9. Chapter 3 The anatomy of human brain networks - p. 21 10. Chapter 4 Updating the traditional Brodmann’s Atlas based on structural and functional connectivity - p. 41 11. Chapter 5 The transdiagnostic model of mental illness and cognitive dysfunction - p. 133 12. Chapter 6 Reimagining neurocognitive functions as emergent phenomena - p. 151 13. Chapter 7 Brain stimulation techniques - p. 159 14. Chapter 8 Machine learning and its utility in connectomic medicine - p. 167 15. Chapter 9 Fundamentals of connectome based decision making and targeting - p. 177 16. Chapter 10 Using the connectome in psychotherapy and other psychiatric therapies - p. 189 17. Chapter 11 How to organize a connectomics-driven neuroscience clinic - p. 197 18. Chapter 12 Connectomic approaches to neurosurgical planning - p. 205 19. Chapter 13 Connectomic strategies for post-neurosurgical applications - p. 215 20. Chapter 14 Connectomic strategies for stroke patients - p. 225 21. Chapter 15 Connectomic strategies for depression and anxiety - p. 235 22. Chapter 16 Connectomic strategy for the treatment of postconcussive syndrome - p. 245 23. Chapter 17 Connectomic strategies for treating chronic tinnitus associated with psychiatric disorders - p. 251 24. Chapter 18 Connectomic approach to treating everything else - p. 261 25. Index - p. 277

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