Aging is linked to a significant rise in neurodegenerative diseases like Alzheimer’s and cognitive decline. While brain aging involves complex molecular and cellular changes, our understanding of these processes within their spatial context remains limited. Past studies have provided valuable insights into age-related brain changes at a single-cell level but lack comprehensive spatiotemporal resolution. High-throughput spatial omics offer the potential for uncovering cell interactions during aging, yet current research focuses either on spatial or temporal aspects, not both. Advanced computational tools are urgently needed to analyze spatial omics data, enabling a deeper understanding of cell-type-specific changes and interactions during aging.