Finally, Buckner and Logan52 suggest that it is important to distinguish between selective and nonselective recruitment, because nonselective recruitment reflects dysfunction in performing cognitive tasks. They argue that older adults are less able to recruit appropriate frontal regions for task performance and the areas they do recruit are less appropriate for the memory task they must perform. Thus, Buckner and Logan see dedifferentiated patterns of recruitment as dysfunctional.

Plasticity The notion that the brain is plastic and can reorganize with age was Inhibitors,research,lifescience,medical quite startling to behavioral researchers in cognitive aging, who had focused primarily on (i) demonstrating memory system changes versus invariance in cognitive function with age; and (ii) learning how to “repair” cognition through

providing external cognitive cues, aids, or supports. We now have compelling evidence that the brain docs not just reflect passive Inhibitors,research,lifescience,medical decline, but is a dynamic structure that is reactive to experience, evidencing both gains and losses with age. Indeed, Kempermann et al72 have demonstrated growth of new neurons in response to complex Inhibitors,research,lifescience,medical environments in aged rats, suggesting that stimulating experiences may enhance the organization and function of the brain. At this point, the neuroimaging literature on aging has just begun to uncover some of the activation patterns that characterize aging. This issue is a most exciting and challenging area of research – to understand how a process such as click here dedifferentiation, a term descriptively applied to imaging results, might reflect changes in neuronal plasticity. Methodological issues in integrating functional brain data with behavioral data on aging Before Inhibitors,research,lifescience,medical we discuss integration of brain and behavioural data in cognitive aging, we should note that there are many technical difficulties involved in relating patterns of cognitive behaviors across different age groups to patterns of brain activations. We do not have space to Inhibitors,research,lifescience,medical go into detail about these problems,

but here are some important issues to keep in mind when interpreting results from neuroimaging studies on aging. First, old and young adults may differ in the strength of signal that is detectable from PET and fMRI studies. The signal detected by both PET and fMRI depends upon a vascular change in the small arterioles of the cerebral circulation. It is unclear to what Dichloromethane dehalogenase extent aging impairs that hemodynamic reactivity and affects the activation signal. Furthermore, pathological changes, such as small, clinically silent infarcts of cerebral tissue, could have significant effects on the ability to detect activation in the aging brain. The atrophy of cerebral tissue with aging presents additional problems for functional neuroimaging, sometimes referred to as “partial volume” effects.