To understand dynamics of human brain connectome, we introduce a novel method named “structured brain chronnectome (SBC)”, which measures spatiotemporal architecture of dynamic functional connectivities, a pivotal mechanism for human to adapt to the outside world. From dynamic view angle, with graph theoretic analysis and blind-source separation, we detect meaningful SBCs with typical and atypical configurations compared with traditional networks. They reflect high-order brain functional organization. By applying SBC to an Alzheimer’s disease progression data, we revealed pre-symptomatic brain high-level function alterations from early mild cognitive impairment subjects which are difficult to detect using traditional methods.
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