We are happy to announce that our paper “Functional dynamic network connectivity differentiates biological patterns in the Alzheimer’s disease continuum” has been published on Neurobiology of Disease by Elsevier. If you’re curious about how Alzheimer’s pathology maps onto brain network dynamics, this study combines molecular imaging with resting-state fMRI to show that data-driven patient subtypes align with distinct abnormalities in dynamic functional connectivity. In particular, connectivity patterns involving the default mode network and occipito-temporal regions help differentiate typical vs atypical biological profiles—suggesting dynamic connectivity markers can flag AD-like symptoms arising from different underlying pathologies.