The right side of the brain shows more signs of aging than the left, new study (www.psypost.org)

A groundbreaking study published in PNAS reveals a novel AI approach to map regional brain aging, emphasizing that different areas of the brain do not age uniformly. By analyzing MRI scans of 14,748 cognitively healthy adults, researchers developed a model that calculates "local brain age," breaking the brain down into fine three-dimensional pixels, or voxels. This method not only estimates the overall brain age but also identifies which specific regions are aging more rapidly, revealing patterns that suggest the right hemisphere tends to appear older than the left. The findings indicate that localized aging is particularly pronounced in regions tied to cognitive decline, such as the frontal and temporal lobes, making this mapping technique a significant advancement in understanding neurodegenerative diseases like Alzheimer’s. The study highlights the potential to use local brain age as a research tool to track aging trajectories and their relation to cognitive performance. While the model demonstrated the ability to detect significant regional differences in brain aging—especially in patients with Alzheimer’s—the researchers caution that its clinical application remains limited for now. The AI model was trained on high-quality research MRI scans, and further longitudinal studies are required to validate its effectiveness in predicting cognitive decline. Overall, this research opens new avenues for investigating how various factors influence localized brain aging and could ultimately enhance our understanding of healthy brain aging and disease progression.