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. Author manuscript; available in PMC: 2023 May 7.
Published in final edited form as: Neuroimage. 2022 Sep 9;263:119621. doi: 10.1016/j.neuroimage.2022.119621

Table 2.

Model performances across modalities of magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography (FDG-PET), including mean absolute error (MAE), root mean squared error (RMSE), correlation coefficient (r) and coefficient of determination (R2). Adjusted bootstrap percentile 95% confidence intervals, indicated in square brackets, were computed over 10,000 bootstrap repetitions.

Metric MRI & FDG-PET MRI only FDG-PET only
MAE 3.710 [3.24 3.86] 4.500 [4.05 4.84] 3.784 [3.44 3.89]
RMSE 4.790 [4.30 4.93] 5.294 [4.81 5.51] 5.008 [4.69 5.14]
r 0.640 [0.61 0.71] 0.542 [0.51 0.62] 0.590 [0.55 0.67]
R2 0.410 [0.37 0.51] 0.294 [0.26 0.38] 0.348 [0.31 0.45]