
eBook - ePub
Connectomic Medicine
Guide to Brain AI in Treatment Decision Planning
- 250 pages
- English
- ePUB (mobile friendly)
- 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.
Information
Table of contents
- Connectomic Medicine
- Table of Contents
- Chapter 1 Why should you learn something new?
- Introduction: One step forward or two steps back?
- Chapter 2 How to map a connectome
- What does the connectome approach add to previous neuroimaging techniques?
- Chapter 3 The anatomy of human brain networks
- A better anatomically specific nomenclature for structure and function
- Chapter 4 Updating the traditional Brodmann’s Atlas based on structural and functional connectivity
- Chapter 5 The transdiagnostic model of mental illness and cognitive dysfunction
- Introducing a transdiagnostic hypothesis
- Chapter 6 Reimagining neurocognitive functions as emergent phenomena
- Introduction
- Chapter 7 Brain stimulation techniques
- Introduction
- Chapter 8 Machine learning and its utility in connectomic medicine
- Introduction
- Chapter 9 Fundamentals of connectome based decision making and targeting
- Introduction
- Chapter 10 Using the connectome in psychotherapy and other psychiatric therapies
- Introduction
- Chapter 11 How to organize a connectomics-driven neuroscience clinic
- Introduction
- Chapter 12 Connectomic approaches to neurosurgical planning
- Introduction
- Chapter 13 Connectomic strategies for post-neurosurgical applications
- Introduction
- Chapter 14 Connectomic strategies for stroke patients
- Introduction
- Chapter 15 Connectomic strategies for depression and anxiety
- Introduction
- Chapter 16 Connectomic strategy for the treatment of postconcussive syndrome
- Introduction
- Chapter 17 Connectomic strategies for treating chronic tinnitus associated with psychiatric disorders
- Introduction
- Chapter 18 Connectomic approach to treating everything else
- Introduction
- Index