1st Edition
by Brent C. Munsell (Editor), Guorong Wu (Editor), Leonardo Bonilha (Editor), Paul Laurienti (Editor)
Connectomics: Applications to Neuroimaging
is unique in presenting the frontier of neuro-applications using brain
connectomics techniques. The book describes state-of-the-art research
that applies brain connectivity analysis techniques to a broad range of
neurological and psychiatric disorders (Alzheimer’s, epilepsy, stroke,
autism, Parkinson’s, drug or alcohol addiction, depression, bipolar, and
schizophrenia), brain fingerprint applications, speech-language
assessments, and cognitive assessment.
With this book the reader will learn:
- Basic mathematical principles underlying connectomics
- How connectomics is applied to a wide range of neuro-applications
- What is the future direction of connectomics techniques.
This
book is an ideal reference for researchers and graduate students in
computer science, data science, computational neuroscience,
computational physics, or mathematics who need to understand how
computational models derived from brain connectivity data are being used
in clinical applications, as well as neuroscientists and medical
researchers wanting an overview of the technical methods.
Features:
- Combines connectomics methods with relevant and interesting neuro-applications
- Covers most of the hot topics in neuroscience and clinical areas
- Appeals
to researchers in a wide range of disciplines: computer science,
engineering, data science, mathematics, computational physics,
computational neuroscience, as well as neuroscience, and medical
researchers interested in the technical methods of connectomics
- Combines connectomics methods with relevant and interesting neuro-applications
- Presents
information that will appeal to researchers in a wide range of
disciplines, including computer science, engineering, data science,
mathematics, computational physics, computational neuroscience, and more
- Includes a mathematics primer that formulates connectomics
from an applied point-of-view, thus avoiding difficult to understand
theoretical perspective
- Lists publicly available neuro-imaging datasets that can be used to construct structural and functional connectomes
