The study by Finn et al. demonstrates that individual brain functional connectivity profiles can serve as unique "fingerprints" for identifying subjects from large groups of individuals. Using data from the Human Connectome Project, the researchers found that these profiles are robust and reliable, even across different scan sessions and between task and rest conditions. The frontoparietal network emerged as the most distinctive and predictive network for individual identification. Additionally, the connectivity profiles were shown to predict levels of fluid intelligence, suggesting a link between brain connectivity and cognitive behavior. The findings highlight the potential to use functional connectivity fMRI to draw inferences about single subjects, advancing the field of personalized neuroimaging.The study by Finn et al. demonstrates that individual brain functional connectivity profiles can serve as unique "fingerprints" for identifying subjects from large groups of individuals. Using data from the Human Connectome Project, the researchers found that these profiles are robust and reliable, even across different scan sessions and between task and rest conditions. The frontoparietal network emerged as the most distinctive and predictive network for individual identification. Additionally, the connectivity profiles were shown to predict levels of fluid intelligence, suggesting a link between brain connectivity and cognitive behavior. The findings highlight the potential to use functional connectivity fMRI to draw inferences about single subjects, advancing the field of personalized neuroimaging.