A commonly used confrontation naming task used in the United States is The Boston Naming Test (BNT). Performance differences has been found in Caucasian and ethnic minorities on the BNT. The Cordoba Naming Test (CNT) is a 30-item confrontation naming task developed in Argentina. Past research has shown acculturation levels can influence cognitive performance. Furthermore, one study evaluated geriatric gender differences on CNT performance in Spanish. Researchers reported that older male participants outperformed female participants on the CNT. To our knowledge, researchers have not evaluated ethnic differences on the CNT using a geriatric sample. The purpose of the present study was to examined CNT performance and acculturation in a Latinx and Caucasian geriatric sample. It was predicted the Caucasian group would outperform the Latinx group on the CNT. Moreover, the Caucasian group would report higher acculturation levels on the Abbreviated Multidimensional Acculturation Scale (AMAS) compared to the Latinx group.

The sample consisted of 9 Latinx and 11 Caucasian participants with a mean age of 66.80 (SD =6.10), with an average of 14.30 (SD = 2.00) years of education. All participants were neurologically and psychologically healthy and completed the CNT and the AMAS in English. Acculturation was measured via the AMAS English subscales (i.e., English Language, United States. Identity, United States, Competency). A series of ANCOVAs, controlling for years of education completed and gender, was used to evaluate CNT performance and acculturation.

The ethnic groups were not well demographically matched (i.e., years of education and gender).We found that the Caucasian group outperformed the Latinx group on CNT performance p = .012, ηp 2 = .34. Furthermore, the Caucasian group reported higher acculturation levels (i.e., English Language, United States, Identity, United States, Competency) compared to the Latinx group p’s < .05, ηps2 = .42-.64.

To our knowledge, this is the first study to evaluate CNT performance between ethnic groups with a geriatric sample. As expected the Caucasian group outperformed the Latinx group on the CNT. Also, as expected the Caucasian group reported higher English acculturation levels compared to the Latinx group. Our findings are consistent with past studies showing ethnic differences on confrontational naming performance (i.e., The Boston Naming Test), favoring Caucasians. A possible explanation for group differences could have been linguistic factors (e.g., speaking multiple languages) in our Latinx group. Therefore, since our Latinx group reported lower levels of English Language, United States identity, and United States competency the Latinx group assimilation towards United States culture might of influence their CNT performance. Future studies with different ethnic groups (e.g., African-Americans) and a larger sample size should examine if ethnic differences continue to cross-validate in a geriatric sample.

The concept of cognitive reserve (CR) explains why individuals with higher education, intelligence, or occupational attainment exhibit less severe cognitive changes in the presence of age-related or neurodegenerative pathology. CR may be a useful construct in understanding the cognitive performance of patients with late life depression (LLD), a cohort who are twice as likely to later receive a clinical diagnosis of dementia. It follows that depressed older adults with low CR may be at greater risk of cognitive decline compared to non-depressed older adults matched for CR. However, the literature on CR and LLD is limited to cross-sectional studies with mixed findings as to whether proxies of CR moderate cognitive outcomes in LLD. For example, both higher and lower education levels in LLD are associated with greater cognitive impairment in LLD compared to similarly educated non-depressed older adults. Longitudinal studies may help disentangle the association between CR and cognitive outcomes in LLD. The current study investigated the interaction between proxies of CR (e.g., education) and depression status on cognitive functioning over three years. We hypothesized that depressed older adults with low CR would demonstrate greater cognitive impairment and decline compared to depressed elders with high CR and non-depressed older adults with comparable CR.

Older adults with LLD and non-depressed older adults age 59+ participated. All participants were free of dementia at baseline. We divided both patients and non-depressed participants into low (<16) and high (>=16) education groups based upon the median years of education (16) of the entire sample. All participants underwent detailed neuropsychological testing. Composite measures of episodic memory (CERAD Wordlist and recall, LM I and LM II, BVRT), processing speed-executive functioning (SDMT and Trail Making Part B), working memory (forward, reverse, ascending Digit Span), and verbal fluency (Animal Naming and COWA) were calculated based on the non-depressed older adults.

The baseline sample included 210 non-depressed older adults and 465 older adults with major depression (LLD). 150 non-depressed older adults and 235 LLD patients provided three-year follow-up data. Separate ANOVAs revealed a statistically significant interaction between education and depression status at baseline on the composite score of executive functioning F (1, 668) = 8.74, p <.003. Consistent with our hypothesis, LLD with low education performed significantly worse compared to non-depressed with low education (z-score difference -1.35) and this effect was significantly greater than the difference between LLD patients and non-depressed with high education (z-score difference -0.36). No other interactions were found at baseline. Longitudinal analyses also revealed significant interactions between education and depression on memory over time, although sensitivity analyses did not suggest findings consistent with our hypothesis.

Cognitive reserve contribute to group differences between LLD and non-depressed older adults in cognitive performance but may not alter cognitive trajectories over time. Future studies should further explore structural and functional brain changes associated with CR in LLD.

Psychological wellness and strong cognitive skills are both important to successful aging. Although there are well-established relationships between psychiatric illness (e.g., depression, anxiety, PTSD) and cognitive dysfunction, few studies have focused on the relationships between positive psychological factors and neurocognitive function in older adults. Our goal was to explore associations between these two sets of measures in older adults.

Participants (n=111) were part of a longitudinal study of biopsychosocial functioning in independently living older adult residents of a Continuing Care Senior Housing Community. Participants were administered a cognitive screening test (Montreal Cognitive Assessment; MoCA), a comprehensive neuropsychological battery, and a set of published self-report scales measuring positive emotional and psychological function. Neuropsychological scores were appropriately normed, and composite scores were calculated for the following domains: language (Boston Naming Test, Delis-Kaplan Executive Function System [D-KEFS] Verbal Fluency), attention/working memory (Wechsler Adult Intelligence Scale-IV [WAIS-IV] Digit Span, DKEFS Visual Scanning), learning and delayed recall (Brief Visuospatial Memory Test-Revised, Hopkins Verbal Learning Test-Revised), processing speed (WAIS-IV Coding, D-KEFS Trails Number and Letter Sequencing, D-KEFS Color-Word Interference Test Color and Word Naming), and executive function (D-KEFS Color-Word Inhibition and Inhibition/Switching, DKEFS Letter/Number Switching). Self-Report scales included the Perceived Stress Scale, Center for Epidemiological Studies in Depression Scale, Emotional Support Scale, Connor-Davidson Resilience Scale, Coping Humor and Self-Efficacy Scales, Personal Mastery Scale, Meaning in Life Scale, Self-Rated Successful Aging, Satisfaction with Life, Cognitive Failures Questionnaire, and Lifetime Orientation Test-Revised. Due to the large number of psychological functioning measures, dimension reduction was undertaken via principal component analysis, resulting in a two-factor solution. Bivariate Pearson correlations were then computed between the two factor scores and each neurocognitive variable.

Factor 1 consisted of variables reflecting Positive Subjective Functioning. A higher score on Factor 1 (indicating higher self-rating of successful aging, fewer perceived cognitive failures, fewer reported depressive symptoms, less perceived stress/anxiety, more perceived emotional support, more satisfaction with life, more meaningfulness in life, and more search for meaning in life) was associated with better attention/working memory (r=0.226, p=0.049) and executive function (r=0.242, p=0.035). Factor 2 consisted of variables that reflected Positive Coping Skills. A higher score on Factor 2 (indicating more happiness, higher optimism, greater resilience, higher sense of personal mastery, more use of humor as a coping strategy, and greater coping self-efficacy) was associated with better performance on tests of language (r=0.325, p=0.004), learning (r=0.313, p=0.006) and delayed recall (r=0.241, p=0.035) of visual and verbal information, and better MoCA performance (r=0.440, p<0.001). Neither factor was associated with processing speed.

Higher levels of subjective functioning and positive outlook/coping skills were associated with better neuropsychological performance. Given that late life is a time of risk for cognitive decline, future research should consider the influence of positive psychological functioning on neurocognitive outcomes and vice versa, as these relationships may have neurobiological and therapeutic implications for overall function in later life.

Trait mindfulness is associated with reduced stress and psychological well-being. However, evidence regarding its effects on cognitive function is mixed and certain facets of trait mindfulness are associated with higher negative affect (NA). This study investigated whether specific mindfulness skills were associated with cognitive performance and affective traits.

165 older adults from the Maine Aging Behavior Learning Enrichment (M-ABLE) Study completed the National Alzheimer’s Coordinating Center T-Cog battery, the Five Facet Mindfulness Questionnaire, and the Positive and Negative Affect Schedule-SF.

All five facets of trait mindfulness were associated with higher Positive Affect and lower NA, with the exception that Observation was not associated with trait NA. Partial correlations adjusting for age indicated that better episodic memory was associated with Observation, Describing, and Nonreactivity. Verbal fluency performance was associated with Observation, while Working Memory was associated with Nonjudgment. Executive Attention/Processing speed was associated with total mindfulness scores and showed a trend relationship with Nonreactivity.

Mindfulness skills showed specific patterns with affective traits and cognitive function. These findings suggest that the ability to maintain awareness, describe, and experience internal and external states without reacting to them may partly rely on episodic memory. Mindful awareness skills also may depend on frontal and language functions, while the ability to experience emotional states without reacting may require Executive Attention. Global mindfulness and a non-judgmental stance may require auditory attention. Alternatively, mindfulness skills may serve to enhance these functions. Hence, longitudinal research is needed to determine the directionality of these findings.

As the population continues to age at a rapid pace, an important question that has been raised by clinicians and researchers alike, is “how can we preserve our cognitive abilities as older adults?” Cognitive reserve (CR) is thought to account for inter-individual differences in the cognitive trajectories of older people experiencing similar levels of brain pathology. Being a hypothetical construct, CR cannot be measured directly and therefore, must be operationalized through a combination of demographic and lifestyle variables. While there is sufficient empirical evidence supporting the relationship between individual CR proxies and cognitive functioning, few studies to date have explored which CR proxy is most important in predicting aspects of late-life cognitive functioning and whether composite measure of CR accurately predict cognitive functioning, above and beyond variables traditionally associated with late-life cognitive ability (e.g., age, gender, cardiovascular risk, depression). The present cross-sectional study sought to examine the relationship between three well-established CR proxies—educational attainment, mental workplace demands, crystallized intelligence—and baseline neuropsychological functioning in a clinical sample of older adults without dementia.

Using archival data from 248 older adult patients seen at geriatric specialist hospital in Ontario, Canada, we examined the cumulative and independent effects of educational attainment (years of formal education), mental workplace demands (mean analyst rating for 10 O*NET variables measuring cognitively complex work activities), and crystallized intelligence (score on WASI-I Vocabulary subtest) on performance across several neuropsychological tests assessing i.) verbal memory, ii.) visual memory, iii.) attention, concentration, and working memory, iv.) executive functioning, v.) visuospatial processing, and vi.) language. Composite scores for all six cognitive domains were calculated by averaging converted z-scores on domain-specific tests of neuropsychological functioning. A series of regression models were then constructed to evaluate the relationship between CR and late-life cognitive functioning. To determine the relative importance of each CR proxy, a follow-up relative weight analysis (RWA) was performed for each regression model.

After controlling for age, gender, cardiovascular risk, and depression, our composite measure of CR (average z-score of educational attainment, mental workplace demands, crystallized intelligence) proved to be a significant predictor across all domains of cognitive functioning. Of the six cognitive domains assessed, CR was the most important in predicting higher-order cognitive functions, such as working memory and executive functioning. Out of the three CR proxies, crystallized intelligence was the only CR proxy that significantly predicted performance across all six cognitive domains. RWA revealed that crystallized intelligence was the most important in predicting neuropsychological functioning, followed by educational attainment, and mental workplace demands.

Despite being closely related, all three CR proxies demonstrated differential effects on late-life cognitive functioning. Overall, our findings suggest that the effects of CR are not generalizable across all cognitive domains and appears to be somewhat dependent on the CR proxy used. This study supports the existing literature in demonstrating the robustness of crystallized intelligence as a CR proxy and provides preliminary evidence supporting the idea that tasks that require higher levels of cognitive processing are the most influenced by CR.

The Cordoba Naming Test (CNT) is a 30-item confrontation naming test developed in Argentina. A common confrontation naming task used in the United States is the Boston Naming Test (BNT). Research shows that age affects BNT performance in the 60-item long form. In fact, studies show that scores on confrontation naming tasks increase in childhood and continue to improve until approximately 40 years of age. However, after this period, scores start to subsequently decline, and especially so after 70 years of age. On the other hand, some studies have reported that older adults maintain high BNT performance despite advancing age. To our knowledge, no study has investigated the aging effects of the CNT across various age groups. We expected CNT scores to increase significantly from young adulthood to mid-adulthood and then significantly decline with advancing age.

The present study sample consisted of 272 neurologically and psychologically healthy participants with a mean age of 27.06 (SD = 12.21) with 14.29 years of education completed (SD = 2.46). Participants were divided into six different age groups: 18-19-year-old group, 20-29-year-old group, 30-39-year-old group, 40-49-year-old group, 50-59-year-old group, and 60-69-year-old group. All participants consented to voluntary participation and completed the CNT and a comprehensive background questionnaire in English. The CNT consisted of 30 black and white line drawings, ranging from easy to hard difficulty. An ANCOVA, controlling for gender, was used to evaluate CNT performance between the six age groups. We used a threshold of p < .05 for statistical significance.

Results revealed significant group differences between the six age groups on the CNT, p = .000, ηp2 = .14. A post-hoc test revealed that the 30-39-year-old group outperformed the 18-19-year-old, 20-29-yearold, and 60-69-year-old groups on the CNT. Finally, the 40-49-year-old group outperformed the 18-19-year-old and 60-69-year-old groups on the CNT.

As we predicted, participants demonstrated steady improvement in the CNT until the age of 40. However, we found that until the age of 60, CNT performance started to decline significantly. Our data suggests that CNT performance declines significantly at the age of 60 compared to previous research using the BNT. Research shows other demographic variables (e.g., gender, linguistic factors) influence BNT performance. Future investigations on the CNT using a healthy sample should use a multivariate statistical analysis method to help explain influencing factors across aging. This research can have the potential to improve public health to better support and understand individuals from diverse backgrounds.

Remote assessment for cognitive screening and monitoring in the elderly has many potential advantages, including improved convenience/access and ease of repeat testing. As remote testing becomes more feasible and common, it is important to examine what factors might influence performance and adherence with these new methods. Personal beliefs about one’s ability to remember effectively have been shown to impact memory performance, especially in older adults (Lineweaver & Hertzog, 1998). The perception of a low level of personal control over memory may impact a person’s use of memory strategies which might otherwise enhance performance, as well as their beliefs about the efficacy of those strategies (Lineweaver et al., 2021). The present study examined the relationship between perceived memory self-efficacy and performance and adherence on self-administered, smartphonebased remote cognitive assessments.

Participants were 123 cognitively unimpaired adults (ages 55-80, 68.3% female, 87% White, M= 16.5 years of education) recruited from the Butler Hospital Alzheimer’s Prevention Registry as part of an ongoing study evaluating novel cognitive assessment methods. A cutoff of score of ≥34 on the modified Telephone Interview for Cognitive Status (TICSm) was required for enrollment. Perceived memory self-efficacy was assessed using two subscales of the Personal Beliefs about Memory Instrument (PBMI; Lineweaver et al., 1998): “prospective control”, the perception of control one currently has to influence future memory functioning, and “future control”, the perception of the amount of control over memory function one will have in the future. Participants completed three brief self-administered cognitive testing sessions per day for 8 consecutive days using a mobile app-based platform developed as part of the National Institute of Aging’s Mobile Toolbox initiative. Cognitive tasks assessed visual working memory (WM), processing speed (PS), and episodic memory (EM)(see Thompson et al., 2022).

Statistical analyses were conducted using univariate ANOVA tests to look for main effects of each PBMI subscale score on remote assessment adherence and average performance on each task over 8 days. After adjusting for aging, we found a higher rate of false alarms (proportion of misidentified stimuli) on the WM task was associated with higher levels of both self-reported prospective control (F(2, 86) = 4.188, p = .018) and future control (F(2, 96) = 5.003, p = .009). Increased response time on the PS task was also associated with higher levels of future control when adjusted for aging (F(2, 96) = 6.075, p = .003). There was no main effect of memory self-efficacy ratings on EM. We found no main effects of memory self-efficacy ratings on assessment adherence.

These findings suggest perceptions of high prospective and future control are associated with positive response bias on a forced-choice WM task, and high perceptions of future control are also associated with slower response times on PS tasks. Future research should examine whether this is due to increased deliberation, cautiousness, or other factors. Limitations include the potentially limited generalizability of this largely White, highly educated, and motivated sample self-selected for AD research. Next steps for this research include comparing these results with the effects of perceived self-efficacy on in-person cognitive assessments.

To identify the relative contributions and importance of modifiable fitness and demographic variables to cognitive performance in a cohort of healthy older adults.

Metrics of modifiable fitness (gait speed, respiratory function, grip strength, and body mass index (BMI)) and cognition (executive function, episodic memory, and processing speed) were assessed in 619 older adults from the Health and Retirement Study 2016 wave (mean age = 74.9, sd = 6.9; mean education = 13.4 years, sd = 2.6; 42% female). General linear models were employed to assess the contribution of modifiable fitness variables in predicting three domains of cognition: executive function, episodic memory, and processing speed. Demographics (age, sex, education, time between appointments, and a chronic disease score) were entered as covariates for each model. Relative importance metrics were computed for all variables in each model using Lindeman, Merenda, and Gold (lmg) analysis, a technique which decomposes a given model’s explained variance to describe the average contribution of each predictor variable, independent of its position in the linear model.

When all variables were entered into the general linear model, demographic and modifiable fitness variables explained 35%, 24%, and 26% of the variance in executive function, episodic memory, and processing speed, respectively (all three models were significant, p <0.001). Age, education, respiratory function, and walking speed had higher relative importance values (all lmgs > 1.8) compared to BMI, grip strength, and other covariates in all three models (all lmgs < 1.3). Gender was also relatively important in the executive function (lmg = 4.2) and episodic memory models (lmg = 5.0). Of the modifiable fitness variables, walking speed and respiratory function had the greatest lmg values (5.8 and 6.4 respectively) in the executive function model, similar to demographic variables age (lmg = 6.0) and education (lmg = 8.9). When demographic variables were entered as covariates, modifiable fitness variables collectively accounted for an additional 9.7%, 6.3%, and 6.0% variance in the executive function, episodic memory, and processing speed models respectively (all three models were significant, p <0.001).

Our findings indicate that walking speed and respiratory function are of similar importance compared to “traditional” demographic variables such as age and education in predicting cognitive performance in a cohort of healthy older adults. Moreover, modifiable fitness variables accounted for unique variance in executive function, episodic memory, and processing speed after accounting for age and education. Modifiable fitness variables explained the most unique variance in executive function. These results extend the current literature by demonstrating that modifiable fitness variables, even when assessed with brief and relatively coarse measures of physical performance, may be useful in predicting cognitive function. Moreover, the results highlight the need to assess metrics of cognitive reserve, such as education, as well as modifiable fitness variables and their respective roles in accounting for cognitive performance. The data further suggest that relative contributions of physical performance metrics may vary by cognitive domain in healthy older adults.

Accurately interpreting change in cognitive functioning is an essential aspect of clinical care for older adults. Several approaches to identifying ‘true’ cognitive change in a single cognitive measure are available (e.g., reliable change methods, regression-based norms); however, neuropsychologists in clinical settings often rely on simple score differences rather than advanced analytical procedures especially since they examine multiple test performances. This study sought to establish quick-reference normative criteria to help neuropsychologists identify how frequently significant change occurs across multiple cognitive measures in cognitively normal older adults.

Data were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Participants were 401 older adults who were classified as cognitively normal at baseline and at 24-month follow-up. In ADNI, these clinical classifications are made separately from the assessment of cognitive performance, including cognitive change. The sample was 50.1% female, 93.5% non-Hispanic White, 4.0% non-Hispanic Black, 1.5% Asian American, and 1.0% other race/ethnicity, with a mean age of 76.0 years (SD = 4.9). Mean education was 16.4 years (SD = 2.7). The cognitive battery included: Boston Naming Test, Category Fluency Test, Trails A & B, Clock Drawing Test, and Auditory Verbal Learning Test, Trial 1-5 Total and Delayed Recall. Change scores between baseline performance and 24-month follow-up were calculated for each measure. The natural distribution of change scores was examined for each measure and cut points representing the 5th and 10th percentile were applied to each distribution to classify participants who exhibited substantial declines in performance on a given measure. We then examined the multivariate frequency of statistically rare change scores for each individual.

As expected in a normal sample, overall cognitive performance was generally stable between baseline and 24-month followup. Across cognitive measures, 43.6% of participants had at least one change score fall below the 10th percentile in the distribution of change scores, and 21.9% had at least one score below the 5th percentile. 13.0% of participants had two or more change scores that fell below the 10th percentile, in comparison to 4.5% with two or more below the 5th percentile. 3.2% of participants had three or more change scores below the 10th percentile, versus 0.5% of participants who had three change scores below the 5th percentile.

Among cognitively normal older adults assessed twice at a 24-month interval with a battery of seven measures, it was not uncommon for an individual to have at least one score fall below the 10th percentile (43% of the sample) or even the 5th percentile (21%) in the natural distribution of change scores. However, only 3.2% of normals had more than two declines in test performance below the 10th percentile, and less than 1% of the sample at more than one change score at the 5th percentile. This suggests that individuals who exhibit more multivariate changes in performance than these standards are likely experiencing an abnormal rate of cognitive decline. Our findings provide a preliminary quick-reference approach to identifying clinically significant cognitive change. Future studies will explore additional batteries and examine multivariate frequencies of change in clinical populations.

Given the aging population, there are significant public health benefits to delaying the onset of Alzheimer’s disease (AD) in individuals at risk. However, adherence to health behaviors (e.g., diet, exercise, sleep hygiene) is low in the general population. The Health Belief Model proposes that beliefs such as perceived threat of disease, perceived benefits and barriers to behavior change, and cues to action are mediators of behavior change. The aim of this study was to gain additional information on current health behaviors and beliefs for individuals at risk for developing AD. This information can then be used to inform behavioral interventions and individualized strategies to improve health behaviors that may reduce AD risk or delay symptom onset.

Surveys were sent to the Rhode Island AD Prevention Registry, which is enriched for at-risk, cognitively normal adults (i.e., majority with a family history and/or an APOE e4 allele). A total of 177 individuals participated in this study. Participants were 68% female; 93% Caucasian and non-Hispanic; mean age of 69.2; 74% with family history of dementia; 40% with subjective memory decline. The survey included measures from the Science of Behavior Change (SoBC) Research Network to measure specific health belief factors, including individual AD risk, perceived future time remaining in one’s life, generalized self-efficacy, deferment of gratification, consideration of future consequences as well as dementia risk awareness and a total risk score for dementia calculated from a combination demographic, health and lifestyle behaviors.

Participants who were older had higher scores for dementia risk (r=0.78), lower future time perspective (r=-0.33), and lower generalized self-efficacy (r=-0.31) (all at p<0.001). Higher education correlated with higher consideration of future consequences (r=-.31, p<0.001) and lower overall dementia risk score (r=-0.23, p=0.006). Of all scales examined, only generalized self-efficacy had a significant linear relationship to both frequency (r2=0.06) and duration (r2=0.08) of weekly physical activity (p<0.001). Total dementia risk score also had significant linear relationships (r2=0.19) with future time perspective (p<0.001) and generalized self-efficacy (p=0.48).

Overall, individuals who rated themselves higher in self-efficacy were more likely to exercise more frequently and for a longer duration. Individuals who had lower overall risk for dementia due to both demographic and behavioral factors were more likely to endorse higher self-efficacy and more perceived time remaining in their lives. Increasing self-efficacy and targeting perceived future time limitations may be key areas to increase motivation and participation in behavioral strategies to reduce AD risk. Developing individual profiles based on these scales may further allow for individually tailored intervention opportunities.

On traditional pattern separation tasks, older adults perform worse than younger adults when identifying similar objects but perform equally well when recognizing repeated objects. When objects are superimposed on semantically related scenes, older adults are influenced by the context to a greater degree than younger adults, leading to errors when identifying similar objects. However, in everyday life, people rarely need to differentiate between two perceptually similar objects. Therefore, we developed a task using short stories to represent similar events people may experience in daily life. Our goal was to investigate the influence of context, detail-type, and age on memory performance.

Twenty-one older and 18 younger adults listened to 20 short stories taking place in either a coffee shop or library, each paired with a unique picture (i.e., context). Participants were asked to imagine the story taking place within the picture. Approximately 20 minutes later, participants answered a yes/no question about a detail from a story superimposed on different contexts. The different context conditions were (1) the same picture from the original story, (2) a similar picture (i.e., a different library or coffee shop picture), (3) a dissimilar picture (i.e., a library picture instead of a coffee shop picture), or (4) a control using a Fourier-transform (FT) image without any spatial-context information. Questions either asked about an identical or similar detail from the story.

Correct answers were analyzed using a 4x2x2 repeated measures ANOVA including context (same, similar, dissimilar, and FT), detail type (identical and similar), and age (younger and older adults). Overall, younger adults were more accurate than older adults, F(1,37)=23.4, p<0.001. However, surprisingly, the context and detail-type made no difference in accuracy, (F’s<1.1) A similar model was used to analyze reaction times. Younger adults were faster than older adults, F(1,37)=23.4, p<0.001. Participants of both ages were faster at correctly responding to the identical detail than the similar detail, F(1,114)=62.87, p<0.001. Context also impacted reaction time, F(3,114)=7.97, p<0.001. All participants were faster while viewing same and similar contexts compared to both the dissimilar and FT contexts (t(39)’s>2.20, p’s<0.05).

We did not find the kinds of age-related effects normally observed on traditional pattern separation tasks. Although younger adults performed better overall, older adults were not any worse when responding to a similar detail compared to an identical detail, which is inconsistent with performance on pattern separation tasks where older adults perform worse when identifying similar objects compared to younger adults. Additionally, older and younger adults were influenced by context in the same way. Previous studies from our laboratory demonstrated that older adults are biased toward the context when recognizing similar objects, but the context in this paradigm did not differentially influence accuracy for either older or younger adults. Potentially, this task relies on more semantic similarity rather than the perceptual similarity of objects. Semantic similarity from the short stories may incorporate more information to better orthogonalize similar memories, rendering retrieval less susceptible to interference.

Subjective cognitive decline (SCD, i.e., perceived cognitive decline without neuropsychological deficits) is associated with Alzheimer’s disease pathology and increased risk for cognitive impairment but is heterogenous in etiology and has been linked to other factors including personality and depression. Mental wellbeing (i.e., the perception and functioning of social, emotional, and health-related aspects of one’s life) has been associated with subjective memory complaints, but its relationship with other subjective cognitive domains is poorly understood. Further characterizing the relationship between mental wellbeing and SCD could refine understanding of SCD and inform development of interventions that prevent progression to objective cognitive decline. This study aimed to describe the relationship between mental wellbeing and subjective decline in multiple cognitive domains and examine whether this relationship differs between older adults with normal cognition and those with mild cognitive impairment (MCI).

Community-dwelling older adults (normal: n = 58, Mage = 73.7±5.6; MCI: n = 43, Mage = 75.9±6.1) completed the Everyday Cognition scale, a validated self-report measure of SCD, and the RAND-36 Health Survey, a validated self-report measure of health-related quality of life which includes a mental wellbeing subscale. Spearman’s rank correlations were conducted between self-reported mental wellbeing and each self-reported cognitive domain (i.e., memory, language, visuospatial, and executive function) for the Normal Cognition and MCI groups.

Worse mental wellbeing was associated with worse subjective language and executive function in the normal group, rs(56) = -.42, p =.001; rs(56) = -.37, p =.005, but not for the MCI group, rs(41) = -.23, p =.15; rs(41) = -.12, p =.46. Worse mental wellbeing was associated with worse subjective visuospatial function in the MCI group, rs(41) = -.39, p =.009, but not in the normal group, rs(56) = -.11, p =.39. For both groups, worse mental wellbeing was associated with worse subjective memory, rs(56) = -.45, p < .001; rs(41) = -.37, p =.02. While this correlation was greater in the normal group, the difference was not significant (z = 0.38, p =.71).

These results suggest that perceptions of mental wellbeing are related to perceptions of cognitive decline in multiple domains, and that the specific domains involved differ between normal and MCI groups. The differential associations may mean perception of specific cognitive domains more strongly affect mental wellbeing, or mental wellbeing more acutely influences perception of those domains. The overall observed relationship between SCD and mental wellbeing may have several explanations: the impact of broader health perceptions may extend to cognitive perception, behavioral changes associated with poor wellbeing may reduce subjective cognitive function, or worse subjective cognitive function may lead to negative experiences of wellbeing. Future longitudinal investigation could inform causal inferences. The more limited associations between mental wellbeing and SCD among MCI individuals may point to the role of decreased self-awareness (due to cognitive impairment) precluding detection of subtle changes in cognition or wellbeing. This study highlights the importance of better understanding mental wellbeing in experiences of SCD in both normal and MCI older adults to improve cognitive and mental health outcomes.

Processing speed declines with age and is a strong predictor of age-related cognitive decline in other domains, and in predicting who will need help with tasks of daily living in later years. Higher cardiorespiratory fitness (CRF) reflects better cardiopulmonary health and is related to maintenance of processing speed and cognition into late life. On the other hand, white matter lesions (WML) are reflective of age-related brain network disconnections from damage to white matter tracts in the brain. Lower CRF and higher WML burden have each been related to poorer cognitive performance. Although higher CRF provides a protective effect on cognition, the combined effects of CRF and WML on processing speed have yet to be determined. Specifically, whether CRF and WML independently affect processing speed or if WML moderates the effect of CRF on processing speed is yet to be established. We predicted WML may moderate CRF benefits on cognitive aging if CRF-related cognitive benefits are weakened by high WML load. Here, we test this question with the gold-standard measure of CRF, maximal exercise oxygen uptake (relative VO2 max, mL/kg/min) during a graded exercise test, and a validated neuropsychological measure of processing speed, the Digit Symbol Substitution Test (DSST).

CRF, DSST scores, and WML volumes of cognitively normal adults (n=91) aged 55-80 years were included in this analysis. The WML data was corrected for total intracranial volume and was log transformed. A linear regression model included the number of accurately completed items on the DSST as the dependent variable and age, sex, relative VO2 max, WML volumes and the interaction between relative VO2 max and WML volume as the predictor variables.

Main effects of age, sex, VO2 max and WML volume on the DSST were observed. Greater age, higher WML volume, and lower relative VO2 max were associated with poorer performance on the DSST. In addition, females (n=55) performed better than males (n=36) on the DSST. No significant interaction was observed between VO2 max and WML volume on DSST scores.

Our results show that 1) WML and relative VO2 max independently contribute to processing speed performance in older adults as measured by the DSST, and 2) WML do not moderate the relation between VO2 max and the DSST. Strengths of this study include gold-standard measurement of CRF and WML volumes as predictors of performance on the DSST in older adults. Further research is warranted to understand how vascular aging and brain health indicators interactively or interdependently impact cognition in aging.

Alzheimer’s disease (AD) pathophysiology, including β-amyloid (Aβ), can be appreciated with molecular PET imaging. Among older adults, the distribution of Aβ standard uptake value ratios (SUVR) is typically bimodal and a diagnostic cut is applied to define those who are amyloid ‘positive’ and ‘negative’. However, it is unclear whether the dynamic range of SUVRs in amyloid positive and negative individuals is meaningful and associated with cognition. Previous work by Insel and colleagues (2020) used screening data from the Anti-Amyloid Treatment in Asymptomatic Alzheimer’s (A4) trial to demonstrate subtle associations between a cortical summary SUVR and cognition, particularly on the Free and Cued Selective Reminding Test (FCSRT). We followed up this study to determine the extent to which regional SUVR is associated with performance on the FCSRT in amyloid positive and negative participants screened for participation in the A4 study.

We accessed regional Aβ SUVR, including anterior cingulate, posterior cingulate, parietal, precuneus, temporal, and medial/orbital frontal regions, along with FCSRT15 and demographic data from 4492 A4 participants at screening. Participants were coded as amyloid positive (n=1329; 30%) or amyloid negative (n=3169; 70%) based on a summary SUVR of greater than or equal to 1.15. We used separate general linear models to examine the association of total or regional SUVR, amyloid positivity status, and the interaction of SUVR and amyloid status with FCSRT scores. We compared model fits across regions with the Akaike Information Criterion (AIC). We ran post hoc correlational analyses examining the relationship between SUVR and FCSRT scores stratified by amyloid status in the case of significant interactions. Results were similar with and without demographic adjustment.

There was a significant interaction of summary and all regional SUVR with FCSRT scores in addition to main effects of amyloid positivity. In all models, there were small negative associations between SUVR and memory in amyloid positive individuals. For amyloid negative individuals, there was a significant and very small negative association between SUVR and FCSRT scores only in the parietal lobes and precuneus regions. Model fits were generally similar across the different analyses.

In this sample of individuals screened for a secondary prevention trial of AD, there were consistent associations between Aβ SUVR in all regions and memory for those considered amyloid positive. However, for individuals considered amyloid negative, there were only very small associations between SUVR and memory in parietal and precuneus regions. We conclude that the dynamic range of amyloid may be relevant among those with diagnostic evidence of amyloidosis, but that subtle Aβ accumulation in posterior regions may relate to declining memory in “subthreshold” states.

Prior work suggests financial exploitation vulnerability may be an early behavioral manifestation of Alzheimer’s disease (AD). Brain morphometric measures of the parahippocampal gyrus and entorhinal cortex have been shown to be sensitive to early AD progression. We hypothesized that perceived financial exploitation vulnerability may be associated with morphometric measures of the parahippocampal gyrus and entorhinal cortex in cognitively unimpaired older adults. We secondarily investigated the association of morphometric measures with neuropsychological measures.

The sample consisted of 39 cognitively unimpaired older adults (mean age = 68.74 ± 6.43, mean education = 16.87 ± 2.35, 77% female). Cognitive impairment was screened using the telephone version of the Montreal Cognitive Assessment (MoCA) and the cut-off was 21 for study participation. Perceived financial exploitation vulnerability was characterized using a 6-item self-report measure derived from the contextual items of the Lichtenberg Financial Rating Scale. Neuropsychological measures included the CVLT-II Long Delay Free Recall (verbal memory), Benson Complex Figure Recall (visual memory), and Verbal Fluency: Phonemic Test from the Alzheimer’s Disease Centers’ Uniform Data Set (UDS) version 3. Brain images were collected on a 7 Tesla Siemens Magnetom with the following parameters: TE=2.95ms, TR=2200ms, 240 sagittal slices, acquired voxel size (avs)=0.7mm x 0.7mm x 0.7mm. Structural brain images were processed using FreeSurfer version 7.2.0. Cortical thickness and volume measures were generated using the Killiany/Desikian parcellation atlas. Regions were averaged across hemispheres to obtain a single value for each region. Volume measures were adjusted for intracranial volume. Bivariate analyses were conducted to assess relationships between each outcome variable and potential confounders (age, sex, and education). Linear regression models were adjusted for any covariates significantly associated with the outcome variable (none for perceived financial exploitation vulnerability; sex and age for verbal memory; education for visual memory; sex for verbal fluency).

Smaller entorhinal cortex volume (β = -1275.14, SE = 582.79, p < 0.05) and lower parahippocampal gyrus thickness (β = -3.37, SE = 1.57, p < 0.05) were significantly associated with greater perceived financial exploitation vulnerability. Lower entorhinal cortex thickness was marginally associated with greater perceived financial exploitation vulnerability (β = -2.03, SE = 1.11, p = 0.08). Higher parahippocampal gyrus thickness was associated with better verbal fluency (β = 17.66, SE = 7.01, p < 0.05). Higher entorhinal cortex thickness was associated with better visual memory (β = 4.71, SE = 1.73, p < 0.05). No significant associations were observed between structural brain measures and verbal memory.

These results suggest smaller entorhinal cortex volume and lower parahippocampal gyrus thickness are associated with higher perceived financial exploitation vulnerability in cognitively normal older adults. Additionally, parahippocampal gyrus thickness appears to be associated with verbal fluency abilities while entorhinal cortex thickness appears to be associated with visual memory. Taken together, these findings lend support to the notion that financial exploitation vulnerability may serve as an early behavioral manifestation of preclinical AD. Longitudinal studies are needed to better understand the temporal nature of these relationships.

The ability to generate, plan for, and follow through with goals is essential to everyday functioning. Compared to young adults, cognitively normal older adults have more difficulty on a variety of cognitive functions that contribute to goal setting and follow through. However, how these age-related cognitive differences impact real-world goal planning and success remains unclear. In the current study, we aimed to better understand the impact of older age on everyday goal planning and success.

Cognitively normal young adults (18-35 years, n= 57) and older adults (60-80 years, n= 49) participated in a 10-day 2-session study. In the first session, participants described 4 real-world goals that they hoped to pursue in the next 10 days. These goals were subjectively rated for personal significance, significance to others, and vividness, and goal descriptions were objectively scored for temporal, spatial, and event specificity, among other measures. Ten days later, participants rated the degree to which they planned for and made progress in their real-world goals since session one. Older adults also completed a battery of neuropsychological tests.

Some key results are as follows. Relative to the young adults, cognitively normal older adults described real-world goals which navigated smaller spaces (p=0.01) and that they perceived as more important to other people (p=0.03). Older adults also planned more during the 10-day window (p<0.001). There was not a statistically significant age group difference, however, in real-world goal progress (p=0.65). Nonetheless, among older participants, goal progress was related to higher mental processing speed as shown by the Trail Making Test Part A (r=0.36, p=0.02) and the creation of goals confined to specific temporal periods (r=0.35, p=0.01). Older participants who scored lower on the Rey Complex Figure Test (RCFT) long delay recall trial reported that their goals were more like ones that they had set in the past (r= -0.34, p=0.02), and higher episodic memory as shown by the RCFT was associated with more spatially specific goals (r=0.32, p=0.02), as well as a greater use of implementation intentions in goal descriptions(r=0.35, p=0.02).

Although older adults tend to show decline in several cognitive domains relevant to goal setting, we found that cognitively normal older adults did not make significantly less progress toward a series of real-world goals over a 10-day window. However, relative to young adults, older adults tended to pursue goals which were more important to others, as well as goals that involved navigating smaller spaces. Older adults also appear to rely on planning more than young adults to make progress toward their goals. These findings reveal age group differences in the quality of goals and individual differences in goal success among older adults. They are also in line with prior research suggesting that cognitive aging effects may be more subtle in real-world contexts.

The vascular depression hypothesis posits that there is a relationship between vascular disease and geriatric depressive symptoms. Black Americans are at higher risk for cardiovascular disease (CVD) than their White counterparts. However, it is not fully understood whether risk for CVD or potentially related neurovascular changes have a differential relationship in Black and White Americans. We investigated differences in the relationships between white matter hyperintensities, risk for CVD, and depressive symptoms in Black and White older adults.

Participants were derived from the National Alzheimer Coordinating Center database. Black (N = 120) and White (N = 120) participants were matched on age, sex, and education. White matter hyperintensity (WMH) and CVD burden data (sum of vascular conditions) on 320 individuals were analyzed (mean age = 75.9; 69.4% female). Age, sex, race, and education were included as covariates in separate regression models in which WMH and CVD burden predicted scores on the 15-item Geriatric Depression Scale (GDS-15). Follow-up stratified analyses were conducted to explore the relationship between WMH and CVD burden on GDS scores in the Black and White samples.

Lower WMH volume and higher CVD burden were associated with higher GDS scores in the total sample. Analyses stratified by race showed a positive effect of CVD burden on GDS scores only for the Black sample and a trend effect of WMH on GDS scores only for the White sample, with higher WMH volume associated with lower rather than higher GDS scores.

These findings are consistent with previous research showing that WMH and CVD burden are related to depression in older adults. Contrary to expectation, WMH had a negative trend association with GDS scores in the White sample. Findings also suggest that different etiologies may play a role in the clinical presentation of depression in Black and White Americans. Additional research is needed to further explore the relationships among CVD, its neural correlates, and depressive symptoms in diverse samples.

Drawing on the National Alzheimer’s Coordinating Center (NACC) Uniform Data Set (UDS), this study aimed to investigate the direct and indirect associations between vascular risk factors/cardiovascular disease (CVD), pharmacological treatment (of CVD), and white matter hyperintensity (WMH) burden on overall cognition and decline trajectories in a cognitively diverse sample of older adults.

Participants were 1,049 cognitively diverse older adults drawn from a larger NACC data repository of 22,684 participants whose data was frozen as of December 2019. The subsample included only participants who were aged 60-97 (56.7% women) who completed at least one post-baseline neuropsychological evaluation, had medication data, and both T1 and FLAIR neuroimaging scans. Cognitive composites (Memory, Attention, Executive Function, Language) were derived factor analytically using harmonized data. Baseline WMH volumes were quantified using UBO Detector. Baseline health screening and medication data was used to determine overall CVD burden and total medication. Longitudinal latent growth curve models were estimated adjusting for demographics.

More CVD medication was associated with greater CVD burden; however, no direct effects of medication were found on any of the cognitive composites or WMH volume. While no direct effects of CVD burden on cognition (overall or rate of decline) were observed, instead we found that greater CVD burden had small, but significant, negative indirect effects on Memory, Attention, Executive Functioning and Language (all p’s < .01) after controlling for CVD medication use. Whole brain WMH volume served as the mediator of this relationship, as it did for an indirect effect of baseline CVD on 6-year rate of decline in Memory and Executive function.

Findings from this study were generally consistent with previous literature and extend extant knowledge regarding the direct and indirect associations between CVD burden, pharmacological treatment, and neuropathology of presumed vascular origin on cognitive decline trajectories in an older adult sample. Results reveal the subtle importance of CVD risk factors on late life cognition even after accounting for treatment and WHM volume and highlight the need for additional research to determine sensitive windows of opportunity for intervention.

This study aimed to determine how modifiable risk factors, such as physical exercise and social support, and non-modifiable risk factors, such as genetic risk may affect cognitive function over time in older adults. As well, the study explored how changes in modifiable risk factors (i.e., increase in exercise) may affect cognitive function over time. This research question was shaped with the help of a patient partner team.

The study used UK Biobank data, and patient partners were involved in shaping research questions/goals. The UK Biobank study had participants complete comprehensive baseline assessments (2006-2010), with subgroups also completing repeat assessments (2012-2013), imaging assessments (2014-ongoing) and/or repeat imaging assessments (2019-ongoing; i.e., 2-4 data points per participant). Age, sex, education, ethnicity, and apolipoprotein E (APOE) e4 status (at least one e4 allele present) data were collected at baseline. Employment, physical activity, social support, and recent depressive symptom data were collected across timepoints. A Fluid intelligence score was obtained at each timepoint via a series of thirteen 1-pt. reasoning tasks (range: 0-13). Participants who did not complete cognitive testing at baseline and at least one other time point, and those with neurological conditions or events (e.g., stroke, epilepsy, dementia) were excluded (final N=17,409).

Multi-Level Modeling (with Maximum Likelihood) was utilized, with fluid intelligence as the primary outcome measure. We ran Model 1: fully unconditioned, Model 2: with time predictor in years (baseline= 0), and Model 3: with baseline physical activity, social support and APOE e-4 predictors and covariates (mean-centered as appropriate), time-varying physical activity and social support predictors, and interaction terms. Nonsignificant interaction terms were trimmed from Model 3 to facilitate interpretation.

Model 1 was significant (p<.001) with an intraclass correlation (ICC) of 0.64, suggesting that 64% of the total variance in fluid intelligence in this sample is due to interindividual differences. Model 2 revealed that the average fluid intelligence score at baseline mean age (55.85) was 6.79 and significantly decreased with each year increase since baseline. Results from Model 3 (trimmed) revealed that being male, white, and having at least a university degree were associated with higher score at baseline, while being older and having more recent depressive symptoms were associated with lower scores. Higher social support quality was associated with higher scores while higher social support quantity was associated with lower scores at baseline; however, higher social support quantity at baseline was associated with less decline in scores over time. Surprisingly, having at least one e4 allele was associated with higher scores. Engaging in more moderate physical activity was associated with lower scores at baseline, however, individuals who increased the length of their moderate physical activity sessions over time showed higher timepoint-specific fluid intelligence scores. Additional significant interactions will be elaborated.

Results suggest that increases in the length of moderate physical activity exercise sessions were associated with better cognitive function over time. Having better social support quality was also associated with better cognitive function, while higher social support quantity was associated with less cognitive decline over time. These findings suggest that positive lifestyle changes in older adulthood may slow cognitive decline.

Human imagination is a complex system that allows us to form images or concepts in the mind that are not present to the senses. Research on imagination has been heavily influenced by the idea that humans store two distinct types of long-term memory: episodic and semantic memory. This theoretical distinction is particularly important in the context of aging, where older adults show reduced episodic memory compared to semantic memory (Levine et al., 2002). However, recent work has shown that these two memories are not as distinct as once thought (Renoult et al., 2019; Irish & Vatansever, 2020), suggesting a need to either refine the relationship between these concepts, or the concepts themselves.

Here, we apply a broader framework for imagination to the autobiographical memories of older adults. Introduced by Andrews-Hanna & Grilli (2021), memory and future thoughts can be understood as the outcome of the collaboration between two representational forms of imagination: the mind’s mind and the mind’s eye. The mind’s mind is described as a high-level, abstract form of imagination accompanied by a verbal representational form, and the mind’s eye is described as a contextually-specific, image-based form of imagination. In the present study, we examine whether this broader framework for understanding imaginative thought can a) explain some of the established age-related changes in episodic and semantic memory, and b) extend beyond existing research to offer new ways to conceptualize autobiographical memory in aging.

In this study, we introduce a novel scoring protocol distinguishing mind’s eye from mind’s mind forms of imagination and apply this protocol to the autobiographical memories of eighty-two cognitively normal older adults. Participants were instructed to retrieve unique autobiographical events, and to focus on describing event-specific details. All data were scored both with our new scoring protocol as well as the Autobiographical Interview scoring protocol from Levine et al. (2002).

Our novel scoring protocol demonstrated high inter-rater reliability across two raters for both mind’s mind (0.95) and mind’s eye (0.96) details. First, we show that the proportion of mind’s mind and mind’s eye details on average are significantly different, with an increased proportion of mind’s eye details. Second, we find that both mind’s eye detail production and mind’s mind detail production is significantly reduced with age, whereas only internal details decline across age when scored with the Autobiographical Interview scoring procedure.

The new scoring protocol suggests that both mind’s mind and mind’s eye details undergo change with age, a finding that shares similarities and differences with results from the Autobiographical Interview scoring technique. Taken together, our results hint at a more elaborate set of detail types forming autobiographical memories that change with age, with implications for understanding episodic and semantic memory.