Characterizing the underlying architecture of brain networks is central to current neuroimaging research. Mathematical modeling provides generalizable definitions for the structural and functional organization of the human brain. These models aim to provide objective biomarkers for the processes by which the brain generates and integrates information from multiple sources at various spatiotemporal scales at one time (as measured by fMRI) or over time (as measured by diffusion tensor imaging or structural covariations in other anatomical MRIs).
Different methods are being developed to study inter-regional connectivity or the graph-theoretical properties of the brain in different studies of neurodevelopment and neurodegenerative diseases.
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