The project will use brain clocks (normative models of brain age) and brain age gaps (BAGs; the difference between brain age and chronological age) to characterize healthy aging and dementia. BAGs serve as an index of general brain health and can track disease severity, stage, and progression. Next, biophysical modeling will be used to propose mechanistic explanations for accelerated aging and neurodegeneration that may underlie BAG alterations. Building on these models, in silico neuromodulation will help identify promising therapeutic targets to restore healthier brain function by reducing BAGs in clinical groups. Overall, this work aims to lay the groundwork for personalized medicine by integrating brain clocks with biophysical modeling.
PI: Carlos Coronel-Oliveros
Support: ANID/FONDECYT Postdoctoral
