A silent leap in neuroimaging

Nature Neuroscience, Published online: 09 September 2026; doi:10.1038/s41593-026-02401-1Mapping brain-wide networks in behaving animals remains a formidable challenge. MacKinnon and colleagues introduce SORDINO-fMRI, a silent, motion-resistant framework that captures...

MCH‐Guard: Multimodal machine learning framework for risk stratification of cerebral microhemorrhage risk in the Alzheimer’s Disease Neuroimaging Initiative

Abstract INTRODUCTION Efficient cerebral microhemorrhage (MCH) monitoring is critical for anti-amyloid therapy safety due to amyloid-related imaging abnormalities with hemosiderin deposition (ARIA-H) risk. We developed MCH-Guard, a multimodal machine-learning...