Connectome Analysis: Characterization, Methods, and Analysis - Markus D. Schirmer - Books - Elsevier Science & Technology - 9780323852807 - June 28, 2023
In case cover and title do not match, the title is correct

Connectome Analysis: Characterization, Methods, and Analysis

Markus D. Schirmer

Price
€ 98.49

Ordered from remote warehouse

Expected delivery Jul 9 - 16
Add to your iMusic wish list

Connectome Analysis: Characterization, Methods, and Analysis

Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is a comprehensive companion for the analysis of brain networks, or connectomes, giving the sources of constituent structural and functional MRI signals, network construction and practices for analyzis, through to cutting-edge methods that address the latest challenges in neuroscience.

The book explains the fundamentals of network theory in the context of giving the practical methods for building connectomes for analysis. Emphasis is placed on quality control of the individual analysis steps. It then provides the context of networks in neuroscience in clinical and general populations, with discussions on how findings are related to the underlying neurophysiology and neuropsychology. These applications dive deeper into the more advanced and expansive methods used to investigate brain organization through the human life-span and after disease. Lastly, it gives the latest tools and data repositories that are freely available for the reader to support their connectomic analyses.

Connectome Analysis: Characterization, Methods and Applications of Human Brain Connectivity is aimed for students and early-career researchers in brain connectomics and neuroimaging with a background in computer science, mathematics, physics, as well as more broadly to neuroscientists and psychologists who want to start incorporating connectomics into their research.


325 pages, Approx. 115 illustrations (45 in full color); Illustrations, unspecified

Media Books     Paperback Book   (Book with soft cover and glued back)
Released June 28, 2023
ISBN13 9780323852807
Publishers Elsevier Science & Technology
Pages 486
Dimensions 235 × 190 × 27 mm   ·   996 g
Language English  
Editor Arichi, Tomoki (Centre for the Developing Brain, King’s College London, London, United Kingdom)
Editor Chung, Ai Wern (Fetal-Neonatal Neuroimaging and Developmental Science Center, Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, United States)
Editor Schirmer, Markus D. (German Centre for Neurodegenerative Disease, Bonn, Germany)