This study used resting-state functional magnetic resonance imaging (fMRI) technique to investigate the cognitive neural mechanism of heterogeneity in aging. By examining and comparing the dynamic features of resting-state activity including regional time-frequency characteristics, functional connectivity networks, and whole brain connectivity network in successful aging (SA), usual aging (UA) and mild cognitive impairment (MCI), we intend to identify the key brain regions, functional networks, nodes and connective paths that are associated with the heterogeneity of aging, and thus to reveal the neural basis of heterogeneity in cognitive aging in the resting-state brain activity level. In addition, we are interested in establishing the methods that could quantify the levels of brain aging using these imaging markers. The study of the neural mechanism of heterogeneity in aging will promote the further understanding of the process of aging, especially the understanding of the relations between brain aging effects and cognitive aging effects, and also provide scientific basis for the objective assessment of brain aging levels and even the objective evaluations of brain function improvement after cognitive or behavioral interventions for the older people.
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