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Abstract #1243

Structured Brain “Chronnectome” Reveals New Brain Dynamic Patterns for Early Detection of Alzheimer’s Disease

Han Zhang1, Xiaobo Chen1, Lichi Zhang1, and Dinggang Shen1,2

1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of

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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