The concept of cognitive reserve (CR) describes the mind's resistance to the progressive damage of the brain and probably this can be reflected as the ability to recruit brain networks in an effective way. It is associated with the ability to cope with the deleterious effects of brain damage, brain degeneration, or age-related changes on cognitive performance. Thus, CR has been revealed to contribute to achieve a successful aging. Educational level and occupational attainment have been established as the main proxies of CR because they have been the ones which better protect against cognitive decline and thus, have been the most utilized ones in cognitive reserve research. Functional brain connectivity refers to the statistical interdependencies between physiological time series simultaneously recorded in different brain areas. The brain efficiency could be quantified using functional connectivity measurements (synchronization values) while a cognitive task. A more efficient network will show less synchronization values in order to produce a similar performance. The study of brain efficiency through connectivity measures seems an essential tool for cognitive aging research. OBJECTIVES The main objectives were to 1) study how CR modulates cognitive performance in healthy aging, and 2) assess the effect of CR in the profiles and efficiency of functional brain networks. For our purpose we recruited 22 healthy old subjects, divided in two subgroups based on their cognitive reserve index (CRI = educational level + occupational attainment). Cognitive, physical and social activity scores were not significantly different between groups. MEG signals were recorded during the execution of a memory task. Brain connectivity of the ongoing MEG signals were calculated under phase locking value (PLV) algorithm. Under the same performance, high-CR participants showed lower connectivity values between anterior and posterior located sensors, comparing with low-CR participants. Due to the 'protection' that the CR provides, it seems that ageing effects are reduced because of the brain network operates more efficiently. It could be said that the brain network in high-CR participants, seems to be better prepared to face ageing deterioration.
Older adults are more vulnerable to a negative impact of irrelevant information on cognitive performance. We used a psychophysical approach to evaluate which aspects of distraction are altered in aging: susceptibility for attention to be captured by a distractor, or the timing of disengagement from processing a distractor. We found that younger and older adults were equally susceptible to a detrimental influence of attentional capture on target detection in the initial moments after distractor presentation, but older adults exhibited a longer time window for the negative effects of capture to resolve. As was recently shown in younger adults, the timing of disengagement from capture correlated with individual differences in visual working memory capacity in the older cohort. These results suggest that the larger impact by distraction on perceptual abilities in normal aging is not the result of a greater susceptibility to attentional capture by distraction, but rather the prolonged processing of distractors.
Over the past years, several studies on Mild Cognitive Impairment (MCI) and Alzheimer's disease (AD) have reported Default Mode Network (DMN) deficits. This network is attracting increasing interest in the AD community, as it seems to play an important role in cognitive functioning and in beta amyloid deposition. Attention has been particularly drawn to how different DMN regions are connected using functional or structural connectivity. To this end, most studies have used functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET) or Diffusion Tensor Imaging (DTI). In this study we evaluated (1) functional connectivity from resting state magnetoencephalography (MEG) and (2) structural connectivity from DTI in 26 MCI patients and 31 age-matched controls. Compared to controls, the DMN in the MCI group was functionally disrupted in the alpha band, while no differences were found for delta, theta, beta and gamma frequency bands. In addition, structural disconnection could be assessed through a decreased fractional anisotropy along tracts connecting different DMN regions. This suggests that the DMN functional and anatomical disconnection could represent a core feature of MCI.