Delaying cognitive and functional decline
We research the stages of cognitive decline preceding Alzheimer's type dementia (e.g. preclinical Alzheimer's, mild cognitive impairment, and preclinical Alzheimer's) to investigate
strategies that may delay
age- and pathology-related cognitive decline.
Beyond the traditional neuropsychological tests, we employ multiple imaging techniques to measure brain function and structure (e.g., T1, BOLD fMRI, diffusion tensor imaging) and brain pathology (e.g., FDG and amyloid PET).
We utilize different computer (e.g., MATLAB, Python) and physiological (e.g., non-invasive brain stimulation, ECG-related neuro-feedback) programming tools to optimize the effect of cognitive intervention on older adults with various cognitive capacities.
We examine the interaction between the central nervous system and peripheral homeostatic systems to understand the impact of these relationships on neural plasticity.
Computational modeling of cognitive and neural profiles in aging
We apply different statistical and computational modeling techniques to understand the complicated cognitive trajectories and neural patterns in normal and abnormal aging process.