Aging is often assumed to follow a common, universal trajectory.
However, a closer look at real-world data reveals a very different picture. The course of aging is far from uniform.
Some individuals maintain remarkable cognitive function despite substantial pathological burden.
Others, under seemingly similar biological conditions, experience rapid cognitive decline.
Our laboratory begins with a fundamental question:
Why, under comparable aging conditions, do some individuals exhibit high levels of neural robustness and
resilience, while others show pronounced vulnerability?
What structural and dynamical properties of brain networks give rise to these divergent trajectories?
And how do genetic, cellular, molecular, and environmental factors interact with brain network organization to
shape these differences?
We approach these questions through computational modeling and multimodal&multiscale brain network analysis.
