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Age-Related Cerebral Perfusion Decline in Older Patients with Mild Alzheimer's Disease

輕度阿茲海默症老人患者腦血流退化與年齡的相關性

摘要


Background: It remains a matter of controversy as to whether cerebral perfusion declines with healthy aging. The present study was aimed at clarifying the correlation between age and CBF image. Methods: Fifty-two patients (28 male, 24 female; age range, 75-95 years; mean ± SD, 81 ± 5 years) with mild Alzheimer’s disease were included in this study. The clinical dementia rating (CDR) of these patients was scored 1. We performed simple regression analysis using SPM99 with the individual’s age as a covariate on a voxel-by-voxel basis. Results: Significant negative correlations with the individual’s age were found in the following five areas: (1) left inferior frontal gyrus (uncorrected P<0.00003; cluster size = 517 voxels); (2) left insula (uncorrected P<0.00003; cluster size = 350 voxels); (3) left thalamus (uncorrected P<0.0002; cluster size = 337 voxels); (4) right anterior cingulated (uncorrected P<0.0002; cluster size = 395 voxels); (5) right insula (uncorrected P<0.0002; cluster size = 245 voxels). There was no any voxel showing significant correlation with age if P<0.05 (corrected for multiple statistics). Conclusions: Since our results did not reach a correction to the significance of the t statistics which takes account of the multiple comparisons in the image, the possibility of false positive results could be high. Further study with larger sample size or with more sensitive diagnostic modalities, such as positron emission tomography, is necessary.

並列摘要


Background: It remains a matter of controversy as to whether cerebral perfusion declines with healthy aging. The present study was aimed at clarifying the correlation between age and CBF image. Methods: Fifty-two patients (28 male, 24 female; age range, 75-95 years; mean ± SD, 81 ± 5 years) with mild Alzheimer’s disease were included in this study. The clinical dementia rating (CDR) of these patients was scored 1. We performed simple regression analysis using SPM99 with the individual’s age as a covariate on a voxel-by-voxel basis. Results: Significant negative correlations with the individual’s age were found in the following five areas: (1) left inferior frontal gyrus (uncorrected P<0.00003; cluster size = 517 voxels); (2) left insula (uncorrected P<0.00003; cluster size = 350 voxels); (3) left thalamus (uncorrected P<0.0002; cluster size = 337 voxels); (4) right anterior cingulated (uncorrected P<0.0002; cluster size = 395 voxels); (5) right insula (uncorrected P<0.0002; cluster size = 245 voxels). There was no any voxel showing significant correlation with age if P<0.05 (corrected for multiple statistics). Conclusions: Since our results did not reach a correction to the significance of the t statistics which takes account of the multiple comparisons in the image, the possibility of false positive results could be high. Further study with larger sample size or with more sensitive diagnostic modalities, such as positron emission tomography, is necessary.

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