Discerning mild cognitive impairment and Alzheimer disease from normal aging: morphologic characterization based on univaritate and multivariate models
文献类型：期刊论文
| 作者 | Weiqi Liao; Xiaojing Long; Chunxiang Jiang; Yanjun Diao; Xin Liu; Hairong Zheng; Lijuan Zhang |
| 刊名 | ACADEMIC RADIOLOGY
 |
| 出版日期 | 2014 |
| 英文摘要 | Rationale and Objectives: Differentiating mild cognitive impairment (MCI) and Alzheimer Disease (AD) from healthy aging remains challenging. This study aimed to explore the cerebral structural alterations of subjects with MCI or AD as compared to healthy elderly based on the individual and collective effects of cerebral morphologic indices using univariate and multivariate analyses. Materials and Methods: Ti-weighted images (T1WIs) were retrieved from Alzheimer Disease Neuroimaging Initiative database for 116 subjects who were categorized into groups of healthy aging, MCI, and AD. Analysis of covariance (ANCOVA) and multivariate analysis of covariance (MANCOVA) were performed to explore the intergroup morphologic alterations indexed by surface area, curvature index, cortical thickness, and subjacent white matter volume with age and sex controlled as covariates, in 34 parcellated gyri regions of interest (ROIs) for both cerebral hemispheres based on the T1WI. Statistical parameters were mapped on the anatomic images to facilitate visual inspection. Results: Global rather than region-specific structural alterations were revealed in groups of MCI and AD relative to healthy elderly using MANCOVA. ANCOVA revealed that the cortical thickness decreased more prominently in entorhinal, temporal, and cingulate cortices and was positively correlated with patients' cognitive performance in AD group but not in MCI. The temporal lobe features marked atrophy of white matter during the disease dynamics. Significant intercorrelations were observed among the morphologic indices with univariate analysis for given ROls. Conclusions: Significant global structural alterations were identified in MCI and AD based on MANCOVA model with improved sensitivity. The intercorrelation among the morphologic indices may dampen the use of individual morphological parameter in featuring cerebral structural alterations. Decrease in cortical thickness is not reflective of the cognitive performance at the early stage of AD. |
| 收录类别 | SCI |
| 原文出处 | http://www.sciencedirect.com/science/article/pii/S1076633213005746 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5722]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | ACADEMIC RADIOLOGY |
| 推荐引用方式 GB/T 7714 | Weiqi Liao,Xiaojing Long,Chunxiang Jiang,et al. Discerning mild cognitive impairment and Alzheimer disease from normal aging: morphologic characterization based on univaritate and multivariate models[J]. ACADEMIC RADIOLOGY,2014. |
| APA | Weiqi Liao.,Xiaojing Long.,Chunxiang Jiang.,Yanjun Diao.,Xin Liu.,...&Lijuan Zhang.(2014).Discerning mild cognitive impairment and Alzheimer disease from normal aging: morphologic characterization based on univaritate and multivariate models.ACADEMIC RADIOLOGY. |
| MLA | Weiqi Liao,et al."Discerning mild cognitive impairment and Alzheimer disease from normal aging: morphologic characterization based on univaritate and multivariate models".ACADEMIC RADIOLOGY (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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