Main description:

Connectomic Medicine: A Guide to Brain AI in Treatment Decision Planning examines how to apply connectomics to clinical medicine. Discussing techniques, applications, and novel ideas, in addition to case examples to highlight the state of the art in this field, this volume focuses on the clinical methods and the neuroscience behind the connectome. Written by pioneers in the field, 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, it is appropriate for anyone interested in cerebral network anatomy, imaging techniques, insights into this emerging field that are not taught in any graduate or medical institution. Connectomic Medicine is a must for those wanting to dive into this novel field of medicine.

Contents:

Part 1: Foundations 1. What is connectomic medicine and why should you upskill? 2. Basic Concepts in Connectomic neuroimaging and modelling approaches 3. Human brain network anatomy and function 4. The Transdiagnostic model of Neuropsychological dysfunction 5. Thinking about Neurocognitive functions as emergent phenomena 6. Brain stimulation techniques and targeting principles 7. Industrial grade Machine learning techniques for brain data analysis 8. Novel ways to think about brain data

Part 2: Applications 9. How to organize a Connectomics driven neuroscience clinic 10. How to pick targets and brain stimulation approaches 11. Connectomic approaches to neurosurgical planning 12. Connectomic strategies for post-neurosurgical applications 13. Connectomic strategies for stroke patients 14. Connectomic strategies for depression and anxiety 15. Connectomic strategies for behavioral/psychiatric disorders 16. Connectomic strategies for movement disorders patients 17. Connectomic strategies for dementia