Predicting the transition from normal aging to Alzheimer's disease: A statistical mechanistic evaluation of FDG-PET data
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- 作者：Marco Pagania ; b ; marco.pagani@istc.cnr.it" class="auth_mail" title="E-mail the corresponding author ; Alessandro Giulianic ; Johanna Ö ; bergd ; Andrea Chincarinie ; Silvia Morbellif ; Andrea Brugnolog ; Dario Arnaldig ; Agnese Piccog ; Matteo Baucknehtf ; Ambra Buschiazzof ; Gianmario Sambucetif ; Flavio Nobilig
- 关键词：FDG-Pet ; Normal aging ; Mild cognitive impairment ; Alzheimer's disease ; Principal component analysis ; Degree of order
- 刊名：NeuroImage
- 出版年：2016
- 出版时间：1 November 2016
- 年：2016
- 卷：141
- 期：Complete
- 页码：282-290
- 全文大小：631 K
文摘
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18F-FDG-PET/CT analysis of brain networking differences in NA, MCI and AD
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Large cohorts of NA, MCI converting and not and AD from one single Center
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Assessment of the degree of order of brain metabolism by statistical mechanistic approach
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Progressive separation from the giant component of Clusters of regions relevant to AD
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