Assessing brain changes is important to determine whether  computerized cognitive training can produce a sustainable positive effect on older adults' cognitive function.

 

The central executive network (CEN) and default mode network (DMN) are two neural networks critical for maintaining different aspects of cognitive function and susceptible to both normal and abnormal aging processes, including MCI. In our training project, we are not only interested in the improvements of cognitive performance, but also the underlying mechanism (i.e. neuroplasticity) of the training effect that may recover or enhance these brain functions. We use different magnetic resonance imaging (MRI) techniques to assess the function and structure of these neural networks, thereby evaluating whether our cognitive training paradigms promote neuroplasticity.