Modeling regional vulnerability to Alzheimer pathology.
Modeling regional vulnerability to Alzheimer pathology.
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DOI：
10.1016/j.neurobiolaging.2011.05.028
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发表时间：
2012-08
影响因子：
4.2
通讯作者：
White LR
中科院分区：
文献类型：
--
作者：
Royall DR;Palmer RF;Petrovitch H;Ross GW;Masaki K;White LR
Latent growth curve (LGC) models estimate change over time in a cohort's serially obtained measurements. We have applied LGC techniques to a spatial distribution of Alzheimer's disease (AD) pathology using autopsy data from 435 participants in the Honolulu-Asia Aging Study. Neurofibrillary tangle (NFT) and neuritic plaques (NP) were distributed across differently ordered sets of anatomical regions. The gradient of spatial change in NP (dNP), was significantly associated with that of NFT (dNFT), but weakly and inversely (r = -0.12, p <0.001). Both dNFT and dNP correlated significantly and inversely with Braak stage. 61% of the variance in Braak stage was explained by dNFT independent of covariates. Only dNFT was significantly associated with longitudinal change in cognition. Only dNP was associated with apolipoprotein (APOE) e4 burden. This is the first application of LGC models to spatially ordered data. The result is a quantification of the inter-individual variation in the inter-regional vulnerability to AD lesions.
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DOI：
10.1159/000106918
发表时间：
1995-01-01
期刊：
DEMENTIA
影响因子：
--
作者：
NAGY, Z;ESIRI, MM;SMITH, AD
通讯作者：
SMITH, AD
影响因子：
4.2
作者：
Lovell, MA;Robertson, JD;Markesbery, WR
通讯作者：
Markesbery, WR
DOI：
10.1159/000107291
发表时间：
1993-01-01
期刊：
DEMENTIA
影响因子：
--
作者：
ARMSTRONG, RA;MYERS, D;SMITH, CUM
通讯作者：
SMITH, CUM
影响因子：
3.7
作者：
Arnold, Steven E.;Hyman, Bradley T.;Van Hoesen, Gary W.
通讯作者：
Van Hoesen, Gary W.
影响因子：
9.9
作者：
ARRIAGADA, PV;GROWDON, JH;HYMAN, BT
通讯作者：
HYMAN, BT