Objective: We investigated whether vascular risk factors (VRFs), assessed with Life’s Simple 7 (LS7), are associated with the rate of cognitive decline in the years preceding a dementia diagnosis. Method: This study included 1,449 stroke-free participants aged ≥60 years from the Swedish National Study on Aging and Care in Kungsholmen, who underwent repeated neuropsychological testing (episodic memory, semantic memory, verbal fluency, perceptual speed) across 12 years. The LS7 score, assessed at baseline, included smoking, diet, physical activity, body mass index, plasma glucose, total cholesterol, and blood pressure. Preclinical dementia was defined as being dementia-free at baseline and diagnosed with dementia during follow-up. Level and change in cognitive performance as a function of LS7 category (poor vs. intermediate to optimal) and future dementia status were estimated using linear mixed-effect models. Results: Participants who later developed dementia had, on average, a poorer LS7 score compared to those who remained dementia-free. For individuals aged 60–72 years, poor diet was associated with accelerated decline in perceptual speed (β = −0.05, 95% CI [−0.08, −0.02]), and a poor glucose score was associated with faster rates of verbal fluency (β = −0.019, 95% CI [−0.09, −0.01]) and global cognitive (β = −0.028, 95% CI [−0.06, 0.00]) decline in the preclinical dementia group. Conclusions: VRFs exacerbate rate of cognitive decline in the years preceding a dementia diagnosis. This effect was most pronounced in young–old age and primarily driven by diet and glucose. The effect of VRFs may be especially detrimental for cognitive decline trajectories of individuals with impending dementia.

Objective: Individual aspects of social health (SH; eg, network, engagement, support) have been linked to cognitive health. However, their combined effect and the role of the structural properties of the brain (brain reserve [BR]) remain unclear. We investigated the interplay of SH and BR on cognitive change in older adults.

Methods: Within the Swedish National Study on Aging and Care–Kungsholmen, 368 dementia-free adults aged ≥60 years with baseline brain magnetic resonance imaging were followed over 12 years to assess cognitive change. A measure of global cognition was computed at each of the 5 waves of assessment by averaging domain-specific Z scores for episodic memory, perceptual speed, semantic memory, and letter and category fluency. An SH composite score was computed at baseline by combining leisure activities and social network. BR was proxied by total brain tissue volume (TBTV). Linear mixed models (adjusted for sociodemographic, vascular, and genetic factors) were used to estimate cognitive trajectories in relation to SH and TBTV. Interaction analysis and stratification were used to examine the interplay between SH and TBTV.

Results: Moderate–good SH (n = 245; vs poor, β-slope = 0.01, 95% confidence interval [CI] = 0.002–0.02, p = 0.018) and moderate-to-large TBTV (n = 245; vs small, β-slope = 0.03, 95% CI = 0.02–0.04, p < 0.001) were separately associated with slower cognitive decline. In stratified analysis, moderate–good SH was associated with higher cognitive levels (but not change) only in participants with moderate-to-large TBTV (β-intercept = 0.21, 95% CI = 0.06–0.37, p < 0.01; interaction SH * TBTV, p < 0.05).

Interpretation: Our findings highlight the interplay between SH and BR that likely unfolds throughout the entire life course to shape old-age cognitive outcomes.

Objective: High cerebral arterial pulsatility index (PI), white matter lesions (WMLs), enlarged perivascular spaces (PVSs), and lacunar infarcts are common findings in the elderly population, and considered indicators of small vessel disease (SVD). Here, we investigate the potential temporal ordering among these variables, with emphasis on determining whether high PI is an early or delayed manifestation of SVD.

Methods: In a population-based cohort, 4D flow MRI data for cerebral arterial pulsatility was collected for 159 participants at baseline (age 64–68), and for 122 participants at follow-up 5 years later. Structural MRI was used for WML and PVS segmentation, and lacune identification. Linear mixed-effects (LME) models were used to model longitudinal changes testing for pairwise associations, and latent change score (LCS) models to model multiple relationships among variables simultaneously.

Results: Longitudinal 5-year increases were found for WML, PVS, and PI. Cerebral arterial PI at baseline did not predict changes in WML or PVS volume. However, WML and PVS volume at baseline predicted 5-year increases in PI. This was shown for PI increases in relation to baseline WML and PVS volumes using LME models (R $$ \ge $$ 0.24; p < 0.02 and R $$ \ge $$ 0.23; p < 0.03, respectively) and LCS models ($$ \beta $$ = 0.28; p = 0.015 and $$ \beta $$ = 0.28; p = 0.009, respectively). Lacunes at baseline were unrelated to PI.

Interpretation: In healthy older adults, indicators of SVD are related in a lead–lag fashion, in which the expression of WML and PVS precedes increases in cerebral arterial PI. Hence, we propose that elevated PI is a relatively late manifestation, rather than a risk factor, for cerebral SVD.

Background and Objectives

Cross-sectional studies suggest marked dopamine (DA) decline in aging, but longitudinal evidence is lacking. The aim of this study was to estimate within-person decline rates for DA D2-like receptors (DRD2) in aging and examine factors that may contribute to individual differences in DRD2 decline rates.

Methods

We investigated 5-year within-person changes in DRD2 availability in a sample of older adults. At both occasions, PET with ¹¹C-raclopride and MRI were used to measure DRD2 availability in conjunction with structural and vascular brain integrity.

Results

Longitudinal analyses of the sample (baseline: n = 181, ages: 64–68 years, 100 men and 81 women; 5-year follow-up: n = 129, 69 men and 60 women) revealed aging-related striatal and extrastriatal DRD2 decline, along with marked individual differences in rates of change. Notably, the magnitude of striatal DRD2 decline was ∼50% of past cross-sectional estimates, suggesting that the DRD2 decline rate has been overestimated in past cross-sectional studies. Significant DRD2 reductions were also observed in select extrastriatal regions, including hippocampus, orbitofrontal cortex (OFC), and anterior cingulate cortex (ACC). Distinct profiles of correlated DRD2 changes were found across several associative regions (ACC, dorsal striatum, and hippocampus) and in the reward circuit (nucleus accumbens and OFC). DRD2 losses in associative regions were associated with white matter lesion progression, whereas DRD2 losses in limbic regions were related to reduced cortical perfusion.

Discussion

These findings provide the first longitudinal evidence for individual and region-specific differences of DRD2 decline in older age and support the hypothesis that cerebrovascular factors are linked to age-related dopaminergic decline.

Cognitive functions are well-preserved for some older individuals, but the underlying brain mechanisms remain disputed. Here, 5-year longitudinal 3-back in-scanner and offline data classified individuals in a healthy older sample (baseline age = 64–68 years) into having stable or declining working-memory (WM). Consistent with a vital role of the prefrontal cortex (PFC), WM stability or decline was related to maintained or reduced longitudinal PFC functional responses. Subsequent analyses of imaging markers of general brain maintenance revealed higher levels in the stable WM group on measures of neurotransmission and vascular health. Also, categorical and continuous analyses showed that rate of WM decline was related to global (ventricles) and local (hippocampus) measures of neuronal integrity. Thus, our findings support a role of the PFC as well as general brain maintenance in explaining heterogeneity in longitudinal WM trajectories in aging.

We investigated progression and interrelationships of cerebral small vessel disease (cSVD) markers. This population-based cohort study included 325 participants (age ≥ 60 years) who had repeated measures of cSVD markers over 6 years: white-matter hyperintensity (WMH), perivascular spaces (PVS), lacunes, and grey-matter (GM) and ventricular volumes. We found that all cSVD markers, except PVS, progressed faster with increasing age. Regional WMH progressed faster in males and less-educated people (p < 0.05). Each 10-point increment in global WMH score was associated with multi-adjusted hazard ratio of 1.78 (95% CI = 1.50‒2.10) for incident lacunes and multi-adjusted β-coefficients of 0.15 (0.08–0.22), -0.37 (-0.58‒-0.16), and 0.11 (0.03‒0.18) for annual changes of global WMH score, GM volume, and ventricular volume, respectively. The corresponding figures associated with per 10-PVS increment were 1.14 (1.01‒1.28), 0.07 (0.03‒0.11), -0.18 (-0.32‒-0.04), and 0.02 (-0.03‒0.07). Prevalent lacunes were related to multi-adjusted β-coefficients of 0.29 (0.00‒0.58), 0.22 (0.05‒0.38), 0.10 (0.01‒0.18), and -0.93 (-1.83‒-0.03) for annual changes of global, deep, and periventricular WMH scores and GM volume, respectively. These results suggest that cSVD progresses faster in older, male, and less-educated people, and that greater loads of WMH, PVS, and lacunes anticipate faster cSVD progression.