Through a machine learning model that predicts brain age, Dr. Helmet Karim and colleagues investigated the relationships between brain aging and aspects of anxiety and depression in late-life adults. Brain age was found to be positively correlated with numerical age, male sex, worry and rumination, and negatively correlated with suppression. These findings bolster support for the transdiagnostic model of negative repressed thoughts. Aging faster: worry and rumination in late life are associated with greater brain age. Karim et al. (2021). Neurobiology of Aging.

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