Connectome Analysis: Characterization, Methods, and Analysis
Editat de Markus D. Schirmer, Tomoki Arichi, Ai Wern Chungen Limba Engleză Paperback – 27 iun 2023
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
Preț: 563.84 lei
Preț vechi: 687.61 lei
-18% Nou
Puncte Express: 846
Preț estimativ în valută:
107.94€ • 112.20$ • 89.50£
107.94€ • 112.20$ • 89.50£
Carte disponibilă
Livrare economică 16-30 ianuarie 25
Livrare express 01-07 ianuarie 25 pentru 50.17 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780323852807
ISBN-10: 0323852807
Pagini: 486
Ilustrații: 115 illustrations (45 in full color)
Dimensiuni: 191 x 235 x 27 mm
Greutate: 1 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0323852807
Pagini: 486
Ilustrații: 115 illustrations (45 in full color)
Dimensiuni: 191 x 235 x 27 mm
Greutate: 1 kg
Editura: ELSEVIER SCIENCE
Cuprins
Section I: Fundamentals of connectomics
Chapter 1 - Neurobiology and the connectome
Chapter 2 - Structural network construction using diffusion MRI
Chapter 3 - Functional network construction using functional MRI
Chapter 4 - Network nodes in the brain
Chapter 5 - Network measures and null models
Chapter 6 - Hubs and rich clubs
Chapter 7 - Community detection in network neuroscience
Chapter 8 - Network comparisons and their applications in connectomics
Section II: Advanced concepts and methods
Chapter 9 - Beyond the shortest path—diffusion-based routing strategies
Chapter 10 - Dynamic functional connectivity
Chapter 11 - The synergy of structural and functional connectivity
Chapter 12 - Machine learning in connectomics: from representation learning to model fitting
Chapter 13 - Deep learning with connectomes
Chapter 14 - Uncovering the genetics of the human connectome
Section III: Applications in the human brain
Chapter 15 - The developmental connectome
Chapter 16 - Connectomics in aging and cognition
Chapter 17 - Networks with lesions
Chapter 18 - Clinical application of connectomics to disorders of consciousness
Chapter 19 - Connectome analysis and psychiatric disorders
Chapter 1 - Neurobiology and the connectome
Chapter 2 - Structural network construction using diffusion MRI
Chapter 3 - Functional network construction using functional MRI
Chapter 4 - Network nodes in the brain
Chapter 5 - Network measures and null models
Chapter 6 - Hubs and rich clubs
Chapter 7 - Community detection in network neuroscience
Chapter 8 - Network comparisons and their applications in connectomics
Section II: Advanced concepts and methods
Chapter 9 - Beyond the shortest path—diffusion-based routing strategies
Chapter 10 - Dynamic functional connectivity
Chapter 11 - The synergy of structural and functional connectivity
Chapter 12 - Machine learning in connectomics: from representation learning to model fitting
Chapter 13 - Deep learning with connectomes
Chapter 14 - Uncovering the genetics of the human connectome
Section III: Applications in the human brain
Chapter 15 - The developmental connectome
Chapter 16 - Connectomics in aging and cognition
Chapter 17 - Networks with lesions
Chapter 18 - Clinical application of connectomics to disorders of consciousness
Chapter 19 - Connectome analysis and psychiatric disorders