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

被引:9
|
作者
Cho, Hanna [1 ]
Baek, Min Seok [1 ]
Lee, Hye Sun [2 ]
Lee, Jae Hoon [3 ]
Ryu, Young Hoon [3 ]
Lyoo, Chul Hyoung [1 ]
机构
[1] Yonsei Univ, Coll Med, Dept Neurol, Gangnam Severance Hosp, 20 Eonjuro 63 Gil, Seoul, South Korea
[2] Yonsei Univ, Biostat Collaborat Unit, Coll Med, Seoul, South Korea
[3] Yonsei Univ, Coll Med, Dept Nucl Med, Gangnam Severance Hosp, 211 Eonjuro, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Alzheimer's disease; Positron emission tomography; Tau; F-18-flortaucipir; DEFINED SUBTYPES; PET; ONSET; PATHOLOGY; PATTERN; PROPAGATION; IMPAIRMENT; MODEL;
D O I
10.1186/s13195-020-00685-4
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
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 [F-18-flortaucipir for tau and(18)F-florbetaben for amyloid-beta (A beta)], 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 A beta-positive AD dementia-specific PCs obtained from the baseline scans of 56 A beta-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,R-2 = 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.
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页数:11
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