Connectome Analysis
Autor: | Markus D. Schirmer, Tomoki Arichi, Ai Wern Chung |
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EAN: | 9780323852814 |
eBook Format: | ePUB |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 30.06.2023 |
Untertitel: | Characterization, Methods, and Analysis |
Kategorie: | |
Schlagworte: | Adolescent Aging Algorithm Alzheimer?s disease Atlas BOLD Betweenness Blood Oxygen Level Dependent BrainAGE Brain cells Brain dynamics Brain states Case?control studies Centrality Children Circuits Closeness Cofluctuation Cognition |
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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