Connectome Analysis: Characterization, Methods, and Analysis

Connectome Analysis: Characterization, Methods, and Analysis

Schirmer, Markus D.
Arichi, Tomoki
Chung, Ai Wern

103,95 €(IVA inc.)

Connectome Analysis: Characterization, Methods, and Analysis is a comprehensive companion for the analysis of brain networks, or connectomes. The book provides sources of constituent structural and functional MRI signals, network construction and practices for analysis, cutting-edge methods that address the latest challenges in neuroscience, and the fundamentals of network theory in the context of giving practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. Subsequent chapters discuss networks in neuroscience in clinical and general populations, including how findings are related to underlying neurophysiology and neuropsychology. This book is aimed at students and early-career researchers in brain connectomics and neuroimaging who have a background in computer science, mathematics and physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research. Provides practical recommendations on how to construct, assess and analyze brain networks Gives an understanding of all the technical methods for connectome analysis Presents the basic network theoretical principles typically used in neuroscience Covers the latest tools and data repositories that are freely available for the reader to carry out connectomic analyses INDICE: 1. Introduction2. Biology - What can connectomes tell us about the brain?3. Structural Networks4. Functional Networks5. Brain Regions for Network Nodes6. Network Theoretical Measures7. Null Models8. Modularity / Rich Club / Topology9. Mapping networks (communities) to biology10. Lesions11. Networks in a. Development b. ageing c. disease (psychiatry/psychology) d. others (Traumatic brain injury)12. Machine Learning in connectomics13. Multimodal MRI and Dynamic network models14. Genetics15. List of Resources

  • ISBN: 978-0-323-85280-7
  • Editorial: Academic Press
  • Encuadernacion: Rústica
  • Páginas: 325
  • Fecha Publicación: 01/11/2022
  • Nº Volúmenes: 1
  • Idioma: Inglés