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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. 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 Gives the latest tools and data repositories that are freely available for the reader to carry out connectomic analyses