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Brain age estimation using machine learning has gained significant attention as a promising approach to assess cognitive health and aging. By analyzing structural and functional MRI data, these models can predict an individual's brain age, providing insights into neurological conditions and potential interventions. The purpose of this study is to compare the performance of different MRI modalities in predicting brain age and to determine the relative importance of specific brain regions. In this...

Microglia maintain neuronal homeostasis through dynamic surveillance strategies that depend on their functional state. In the healthy brain, highly ramified microglia monitor neuronal integrity via motile processes and transient soma contacts. Aging is associated with reduced process motility and diminished expression of homeostatic markers, raising the question of how microglial surveillance adapts to these changes. Here, we used ex vivo time-lapse imaging of acute cortical slices from young...