19 32

Cited 0 times in

Principal components of tau positron emission tomography and longitudinal tau accumulation in Alzheimer's disease

 Hanna Cho  ;  Min Seok Baek  ;  Hye Sun Lee  ;  Jae Hoon Lee  ;  Young Hoon Ryu  ;  Chul Hyoung Lyoo 
 Alzheimer's Research & Therapy, Vol.12(1) : 114, 2020-09 
Journal Title
 Alzheimer's Research & Therapy 
Issue Date
18F-flortaucipir ; Alzheimer’s disease ; Positron emission tomography ; Tau
Background: We aimed to investigate the clinical correlates of principal components (PCs) of tau positron emission tomography (PET) and their predictability for longitudinal changes in tau accumulation in Alzheimer's disease (AD). Methods: We enrolled 272 participants who underwent two PET scans [18F-flortaucipir for tau and 18F-florbetaben for amyloid-β (Aβ)], brain magnetic resonance imaging, and neuropsychological tests as baseline assessments. Among them, 187 participants underwent the same follow-up assessments after an average of 2 years. Using Aβ-positive AD dementia-specific PCs obtained from the baseline scans of 56 Aβ-positive patients with AD dementia, we determined the expression of the first two PCs (PC1 and PC2) in all participants. We assessed the correlation of PC expression with baseline clinical characteristics and tau accumulation rates. Moreover, we investigated the predictability of PCs for the longitudinal tau accumulation in training and test sets. Results: PC1 corresponded to the tau distribution pattern in AD, while the two PC2 extremes reflected the parietal or temporal predominance of tau distribution. PC1 expression increased with tau burden and decreased with cognitive impairment, while PC2 expression decreased with advanced age and visuospatial and attention function deterioration. The tau accumulation rate was positively correlated with PC1 expression (greater tau burden) and negatively correlated with PC2 expression (temporal predominance). A regression model using both PCs could predict longitudinal changes in the tau burden (intraclass correlation coefficient = 0.775, R2 = 0.456 in test set). Conclusions: PC analysis of tau PET could be useful for evaluating disease progression, characterizing the tau distribution pattern, and predicting longitudinal tau accumulation.
Files in This Item:
T202004271.pdf Download
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Lyoo, Chul Hyoung(류철형) ORCID logo https://orcid.org/0000-0003-2231-672X
Baek, Min Seok(백민석) ORCID logo https://orcid.org/0000-0001-5250-9480
Ryu, Young Hoon(유영훈) ORCID logo https://orcid.org/0000-0002-9000-5563
Lee, Jae Hoon(이재훈) ORCID logo https://orcid.org/0000-0002-9898-9886
Lee, Hye Sun(이혜선) ORCID logo https://orcid.org/0000-0001-6328-6948
Cho, Hanna(조한나) ORCID logo https://orcid.org/0000-0001-5936-1546
사서에게 알리기


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.