New NextBrain atlas enables unprecedented granularity in human brain imaging analysis
Researchers at University College London have developed NextBrain, a probabilistic histological atlas of the entire human brain that enables automated segmentation of magnetic resonance imaging scans into 333 distinct regions of interest. Built from approximately 10,000 histological sections across five brain hemispheres, the atlas combines artificial intelligence-enabled registration techniques with Bayesian segmentation methods to provide […]




Lange et al., Sci. Trans. Med. 17, eadp7047 (2025)
Dan Birman, International Brain Laboratory
McAlpine Research Group, University of Minnesota
Matt Miller/ Washington University School of Medicine
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