Excluding spontaneous thought periods enhances functional connectivity test–retest reliability and machine learning performance in fMRI

These findings suggest that selectively removing low-quality time points provides a practical and effective strategy for improving the reliability and sensitivity of functional connectivity measurements in rs-fMRI, thereby enhancing their potential utility in both neuroscience research and clinical applications.