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. 2021 Jan 13:7:617173.
doi: 10.3389/fmed.2020.617173. eCollection 2020.

Exploring the Pattern Associated With Longitudinal Changes of β-Amyloid Deposition During Cognitively Normal Healthy Aging

Yunyan Xie  1 , Qin Yang  1 , Chunhua Liu  2 , Qi Zhang  2 , Jiehui Jiang  2   3   4 , Ying Han  1   5   6 ; Alzheimer's Disease Neuroimaging Initiative
Affiliations

Exploring the Pattern Associated With Longitudinal Changes of β-Amyloid Deposition During Cognitively Normal Healthy Aging

Yunyan Xie et al. Front Med (Lausanne). .

Abstract

The aim of this study was to determine a pattern associated with longitudinal changes of β-amyloid (Aβ) deposition during cognitively normal(CN) healthy aging. We used 18F-florbetapir (AV-45) PET images of the brains of 207 cognitively normal subjects (CN1), obtained through the Alzheimer's Disease Neuroimaging Initiative (ADNI), to identify the healthy aging pattern and 76 cognitively normal healthy subjects (CN2), obtained through the Xuanwu Hospital of Capital Medical University, Beijing, China, to verify it. A voxel-based correlation analysis of standardized uptake value ratio (SUVR) map image and age was conducted using the DPABI (Data Processing & Analysis of Brain Imaging) software to identify the pattern. The sum of squares due to errors (SSE), R-square (R2) and the root-mean-square error (RMSE) were calculated to assess the quality of curve fitting. Among them, R2 was proposed as the coherence coefficient, which was as an index to assess the correlation between SUVR value of the pattern and subjects' age. The pattern characterized by age-associated longitudinal changes of Aβ deposition was mainly distributed in the right middle and inferior temporal gyrus, the right temporal pole: middle temporal gyrus, the right inferior occipital gyrus, the right inferior frontal gyrus (triangular portion), and the right precentral gyrus. There were a significant positive correlation between the SUVR value of the pattern and age for each CN group (CN1: R2 = 0.120, p < 0.001 for quadratic model; CN2: R2 = 0.152, p = 0.002 for quadratic model). These findings suggest a pattern of changes in Aβ deposition that can be used to distinguish physiological changes from pathophysiological changes, constituting a new method for elucidating the neuropathological mechanism of Alzheimer's disease.

Keywords: 18F-AV-45 PET; brain; healthy aging; pattern; β-amyloid deposition.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Inclusion and exclusion criteria applied to the ADNI data.
Figure 2
Figure 2
Pattern associated with longitudinal changes of Aβ deposition in cognitively normal adults (CN1) during the healthy aging. The red areas are those with significant increases in Aβ deposition associated with advancing age. No voxels were found that indicated significant decreases in Aβ deposition associated with advancing age.
Figure 3
Figure 3
The findings of a correlation analysis of age and the SUVR values of the pattern (A,C,E) and the whole brain (B,D,F) of individuals in the CN1 group using linear, quadratic, and exponential model fitting, respectively.
Figure 4
Figure 4
The findings of a correlation analysis of age and the SUVR values of the pattern (A,C,E) and the whole brain (B,D,F) of individuals in the CN2 group using linear, quadratic, and exponential model fitting respectively.
Figure 5
Figure 5
The overlap between our proposed pattern and AD parttern in previous studies.
See this image and copyright information in PMC

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