Extended Data Fig. 4: Robustness of DeepCor and CompCor to the number of training voxels in input data.
From: DeepCor: denoising fMRI data with contrastive autoencoders
(a) Box plots showing the mean R-squared values (n=10) for CompCor and DeepCor in relationship to the number of training voxels in the simple simulation scenario, where the signal and noise are combined linearly with a standard deviation of 1. Each box plot represents results across 10 independent seeds, with significance bars indicating statistical differences between methods (p = 9.13 × 10−5 < 0.001, *** for all conditions). (b) Box plots illustrating the mean R-squared values (n=10) for CompCor and DeepCor across different training voxels under the BrainIAK realistic simulation setting. Significance bars denote statistical differences between methods, with p = 9.13 × 10−5 < 0.001 (***) for all conditions. The central line within each box represents the median, while the upper and lower bounds correspond to the first (Q1) and third quartiles (Q3), capturing the interquartile range (IQR). Whiskers extend to the smallest and largest values within 1.5 times the IQR, while individual points beyond this range are plotted as outliers.
