Connectome Analysis: Characterization, Methods, and AnalysisMarkus D. Schirmer, Tomoki Arichi, Ai Wern Chung 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 |
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Connectome Analysis: Characterization, Methods, and Analysis Markus D. Schirmer,Tomoki Arichi,Ai Wern Chung No preview available - 2023 |
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Acad Sci USA algorithm Alzheimer's disease anatomical approach associated atlas atlases autism Available axons Bassett DS Biol brain connectivity brain functional brain networks brain regions cells Cereb Cortex cerebral Chapter clinical clustering clustering coefficient cognitive community detection complex Comput correlation cortical dataset deep learning defined diffusion MRI disease disorders edges example fiber fMRI fMRI data Fornito functional brain functional MRI functional network gene expression genetic global graph heritability Heuvel MP https://doi.org hubs Hum Brain Mapp human brain human connectome lesion machine learning magnetic resonance imaging maps matrix medical image methods metrics modules multiple Natl Acad Sci neural network Neuroimage neurons Neurosci nodal nodes null models parcellation patients patterns phenotypes PLoS prediction preprocessing Proc Natl Acad processing Psychiatry random resting-state fMRI rich club rs-fMRI schizophrenia spatial specific Sporns structural and functional structural connectivity studies temporal tion topological tractography voxel Wang white matter whole-brain Zhang


