Yang S Liu, Madhura Baxi, Christopher R Madan, Kevin Zhan, Nikolaos Makris, Douglas L Rosene, Ronald J Killiany, Suheyla Cetin-Karayumak, Ofer Pasternak, Marek Kubicki, Bo Cao
Through the application of machine learning algorithms to neuroimaging data the brain age methodology was shown to provide a useful individual-level biological age prediction and identify key brain regions responsible for the prediction. In this study, we present the methodology of constructing a rhesus macaque brain age model using a machine learning algorithm and discuss the key predictive brain regions in comparison to the human brain, to shed light on cross-species primate similarities and differences. Structural information of the brain (e...
March 9, 2024: Neurobiology of Aging