Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability.

The statistical tests revealed that, while the T-test for the Resting dataset suggested only a trend towards significance (T-stat = -1.96, p = 0.0545), the Wilcoxon test indicated a significant difference (W-stat = 311, p = 8.73 * 10-6), indicating a consistent improvement in our model's performance.

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