Unsupervised Machine Learning of Automated Brain Volumetry Uncovers Three Volumetric Endophenotypes in Cognitive Impair-ment
The findings suggest that cognitive impairment manifests through heterogeneous patterns of structural brain involvement, with potential implications for prognosis and personalized care, and the high accuracy of a parsimonious four-feature model supports the clinical utility of focused volumetric assessment for risk str...