Adrienne M. Tucker

Cognitive Reserve in Aging

Cognitive reserve explains why those with higher IQ, education, occupational attainment, or participation in leisure activities evidence less severe clinical or cognitive changes in the presence of age-related or Alzheimers disease pathology. Specifically, the cognitive reserve hypothesis is that individual differences in how tasks are processed provide reserve against brain pathology. Cognitive reserve may allow for more flexible strategy usage, an ability thought to be captured by executive functions tasks. Additionally, cognitive reserve allows individuals greater neural efficiency, greater neural capacity, and the ability for compensation via the recruitment of additional brain regions. Taking cognitive reserve into account may allow for earlier detection and better characterization of age-related cognitive changes and Alzheimers disease. Importantly, cognitive reserve is not fixed but continues to evolve across the lifespan. Thus, even late-stage interventions hold promise to boost cognitive reserve and thus reduce the prevalence of Alzheimers disease and other age-related problems.

Trait interindividual differences in the sleep physiology of healthy young adults

Despite decades of sleep research by means of polysomnography (PSG), systematic interindividual differences in PSG‐assessed sleep parameters have been scarcely investigated. The present study is the first to quantify interindividual variability in standard PSG‐assessed variables of sleep structure in terms of stability and robustness as well as magnitude. Twenty‐one carefully screened healthy young adults were studied continuously in a strictly controlled laboratory environment, where their PSGs were recorded for eight nights interspersed with three separate 36 h sleep deprivation periods. All PSG records were scored blind to subject and condition, using conventional criteria, and delta power in the non‐REM sleep EEG was computed for four electrode derivations. Interindividual differences in sleep variables were examined for stability and robustness, respectively, by comparing results across equivalent nights (e.g. baseline nights) and across experimentally differentiated nights (baseline nights versus recovery nights following sleep deprivation). Among 18 sleep variables analyzed, all except slow‐wave sleep (SWS) latency were found to exhibit significantly stable and robust – i.e. trait‐like – interindividual differences. This was quantified by means of intraclass correlation coefficients (ICCs), which ranged from 36% to 89% across physiologic variables, and were highest for SWS (73%) and delta power in the non‐REM sleep EEG (78–89%). The magnitude of the trait interindividual differences was considerable, consistently exceeding the magnitude of the group‐average effect on sleep structure of 36 h total sleep deprivation. Notably, for non‐REM delta power – a putative marker of sleep homeostasis – the interindividual differences were from 9.9 to 12.8 times greater than the group‐average increase following sleep deprivation relative to baseline. Physiologic sleep variables did not vary among subjects in a completely independent manner – 61.1% of their combined variance clustered in three trait dimensions, which appeared to represent sleep duration, sleep intensity, and sleep discontinuity. Any independent functional significance of these sleep physiologic phenotypes remains to be determined.

Double Dissociation: Circadian Off-Peak Times Increase Emotional Reactivity; Aging Impairs Emotion Regulation Via Reappraisal

This study explored how the effectiveness of specific emotion regulation strategies might be influenced by aging and by time of day, given that in older age the circadian peak in cognitive performance is earlier in the day. We compared the benefit gained by 40 older (60-78 years; 20 women) and 40 younger (18-30 years; 20 women) adults during either on-peak or off-peak circadian times on 2 specific types of cognitive emotion regulation strategies: distraction and reappraisal. Participants rated their negative emotional responses to negative and neutral images under 3 conditions: a baseline nonregulation condition, a distraction condition involving a working memory task, and a reappraisal condition that involved reinterpreting the situation displayed using specific preselected strategies. First, as hypothesized, there was a crossover interaction such that participants in each age group reported more negative reactivity at their off-peak time of day. Second, a double dissociation was observed as circadian rhythms affected only negative reactivity-with reactivity highest at off-peak times-and aging diminished reappraisal but not distraction ability or reactivity. These findings add to growing evidence that understanding the effects of aging on emotion and emotion regulation depends on taking both time of day and type of regulatory strategy into account.

The Prefrontal Model Revisited: Double Dissociations Between Young Sleep Deprived and Elderly Subjects on Cognitive Components of Performance

STUDY OBJECTIVES The prefrontal model suggests that total sleep deprivation (TSD) and healthy aging produce parallel cognitive deficits. Here we decompose global performance on two common tasks into component measures of specific cognitive processes to pinpoint the source of impairments in elderly and young TSD participants relative to young controls and to each other. SETTING The delayed letter recognition task (DLR) was performed in 3 studies. The psychomotor vigilance task (PVT) was performed in 1 of the DLR studies and 2 additional studies. SUBJECTS For DLR, young TSD (n=20, age=24.60 ± 0.62 years) and young control (n=17, age=24.00 ± 2.42); elderly (n=26, age=69.92 ± 1.06). For the PVT, young TSD (n=18, age=26.65 ± 4.57) and young control (n=16, age=25.19 ± 2.90); elderly (n=21, age=71.1 ± 4.92). MEASUREMENTS AND RESULTS Both elderly and young TSD subjects displayed impaired reaction time (RT), our measure of global performance, on both tasks relative to young controls. After decomposing global performance on the DLR, however, a double dissociation was observed as working memory scanning speed was impaired only in elderly subjects while other components of performance were impaired only by TSD. Similarly, for the PVT a second double dissociation was observed as vigilance impairments were present only in TSD while short-term response preparation effects were altered only in the elderly. CONCLUSIONS The similarity between TSD and the elderly in impaired performance was evident only when examining global RT. In contrast, when specific cognitive components were examined double dissociations were observed between TSD and elderly subjects. This demonstrates the heterogeneity in those cognitive processes impaired in TSD versus the elderly.

The effects of stimulus degradation after 48 hours of total sleep deprivation.

STUDY OBJECTIVES To test the hypothesis that total sleep deprivation (TSD) slows stimulus detection and evaluation processes. Towards that end we manipulate degradation of the imperative stimulus, a manipulation well established to affect the processes of interest, in a delayed letter recognition (DLR) task and the psychomotor vigilance task (PVT), and predicted that after TSD the ordinary reaction time (RT) slowing effect of stimulus degradation would be increased. These hypotheses were only partially confirmed (see below). DESIGN Participants were exposed to 48 h of total sleep loss. The PVT and DLR were administered to the same participants. The PVT was administered 8 times -every 6 h from 12:00 on Day 1. The DLR was administered twice, at 09:00 of Day 1 and 48 h later. SETTING Participants were continuously monitored in a sleep laboratory. SUBJECTS 26 healthy young adults enrolled. Due to dropouts and technical failures, the final ns were 20 for the DLR and 21 for the PVT. MEASUREMENTS AND RESULTS General linear mixed models were employed. In the DLR task there was no interaction between TSD and degradation on any variable. There was, however, a significant interaction between TSD and degradation on mean reaction time in the PVT (P = 0.01). CONCLUSIONS As in our previous reports, we observe the specificity with which total sleep deprivation affects cognitive processes. One aspect of visual processing, stimulus detection, was affected by total sleep deprivation and made a significant contribution to the performance impairments observed. Another aspect of visual processing, stimulus evaluation, remained unaffected after 2 days and nights of total sleep loss.