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Connectional fingerprint of mild cognitive impairment based on FDG-PET and PiB-PET

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Author(s)
Son, Seong-JinKim, MansuLee, Seung-HakPark, Hyunjin
Type
Conference Paper
Citation
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017
Issued Date
2018-10-21
Abstract
Connectional fingerprint provides important information to characterize patterns related to mild cognitive impairment (MCI) which is a brain function syndrome involving the onset and evolution of cognitive impairment. Here, we defined connectional fingerprint of normal control (NC) and MCI patients using fludeoxyglucose (FDG)- and Pittsburgh compound B (PiB)-positron emission tomography (PET) to identify the characterized patterns. A connectivity analysis was implemented using whole brain network. Group-wise differences between NC and MCI patients were assessed using betweenness centrality. Lingual L and putamen R showed a significant decrease the value of BC from NC to MCI in FDG-PET. Fusiform also showed a significant decrease in PiB-PET. Finally, ten brain regions, showed a large difference between NC and MCI, were used to characterize the unique patterns in connectional fingerprint. Using connectional fingerprint, this study identified unique patterns differentially affected by MCI progression. © 2017 IEEE.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Conference Place
US
Atlanta
URI
https://scholar.gist.ac.kr/handle/local/34190
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