1. Additional file 1 of Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment
- Author
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Dang, Mingxi, Yang, Caishui, Chen, Kewei, Lu, Peng, Li, He, and Zhang, Zhanjun
- Abstract
Additional file 1: Table S1. The follow-up information of the NC subjects included in this study. Table S2. Vascular risk factors of the BABRI and ADNI samples. Table S3. List of regions showing covariance between the seed network regions and whole brain patterns of the grey matter of BABRI. Table S4. List of regions showing covariance between the seed network regions and whole brain patterns of the grey matter of ADNI. Table S5. The differences in structural covariance scores between groups of the ADNI samples, adjusted for age, sex, education level, TIV, field strength, and scan site. Table S6. The prediction results of the development and reversion of MCI of the ADNI samples, adjusted for field strength and scan site. Table S7. The differences in structural covariance scores between groups of the 1.5T field intensity in the ADNI samples, adjusted for age, sex, education level, and TIV. Table S8. The prediction results of the development and reversion of MCI of the 1.5T field intensity in the ADNI samples. Table S9. Prediction of MCI progression, stabilization, and reversion in ADNI samples. Fig. S1. Differences in structural covariance scores of rMCI, sMCI, and pMCI of the ADNI sample. Fig. S2. The relationship between the composite score of the structural covariance network and the APOE4 carrier status of the ADNI sample. Fig. S3. Effect of disease course on MCI reversion of the ADNI sample. Fig. S4. Feature weight distribution of the random forest prediction model of the ADNI sample. Fig. S5. The relationship between the composite score of the structural covariance network and the grey matter density of the hippocampus.
- Published
- 2023
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