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9780323852807, 9780323852814
Elsevier
2023
English
730
10 MB
by Markus D. Schirmer (Author) 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 Product Details Publisher: Elsevier Science; June 30, 2023 Language: English ISBN: 9780323852807 ISBN: 9780323852814
