Higher cardiovascular burden and peripheral inflammation are associated with small vessel vascular disease, a predominantly dysexecutive cognitive profile, and a higher likelihood of conversion to vascular dementia. The digital clock drawing test, a digitized version of a standard neuropsychological tool, is useful in identifying cognitive dysfunction related to vascular etiology. However, little is known about the specific cognitive implications of vascular risk, peripheral inflammation, and varying levels of overall brain integrity. The current study aimed to examine the role of cardiovascular burden, peripheral inflammation, and brain integrity on digitally acquired clock drawing latency and graphomotor metrics in non-demented older adults.

The final prospectively recruited IRB-consented participant sample included 184 non-demented older adults (age: 69±6 years, education: 16±3 years, 46% female, 94% white) who completed digital clock drawing, vascular assessment, blood draw, and brain MRI. Digital clock drawing variables of interest included: total completion time (TCT), pre-first hand latency (PFHL), digit misplacement, hour hand distance from center, and clock face area (CFA). Cardiovascular burden was calculated using the revised version of the Framingham Stroke Risk Profile (FSRP-10). Peripheral inflammation was operationalized using interleukin (IL)-6, IL-8, IL-10, tumor necrosis factor alpha (TNF-a), and high sensitivity C-reactive protein (hsCRP). The brain integrity composite was comprised of bilateral entorhinal cortex volume, bilateral ventricular volume, and whole brain leukoaraiosis.

Over and above age and cognitive reserve, hierarchical regressions showed FSRP-10, inflammatory markers, and brain integrity explained an additional 13.3% of the variance in command TCT (p< 0.001), with FSRP-10 (p=0.001), IL-10 (p= 0.019), and hsCRP (p= 0.019) as the main predictors in the model. FSRP-10, inflammatory markers, and brain integrity explained an additional 11.7% of the variance in command digit misplacement (p= 0.009), with findings largely driven by FSRP-10 (p< 0.001).

Overall, in non-demented older adults, subtle behavioral nuances seen in digital clock drawing metrics (i.e., total completion time and digit misplacement) are partly explained by cardiovascular burden, peripheral inflammation, and brain integrity over and above age and cognitive reserve. These nuanced behaviors on digitally acquired clock drawing may associate with an emergent disease process or overall vulnerability.

Funding sources: Barber Fellowship; K07AG066813; R01 AG055337; R01 NR014810; American Psychological Foundation Dissertation Award; APA Dissertation Research Award

Executive function is known to decline in later life, largely attributed to structural and functional changes in the prefrontal cortex. However, other regions of the brain are integral to executive functioning, including the hippocampus. The hippocampus plays a large role in memory but its intricate connections to limbic regions including the prefrontal cortex likely underlies associations between the hippocampus and executive functions. Due to the hippocampus’ complex structure, hippocampal subregions may be differentially associated with executive function, but this possibility remains largely unexplored. Therefore, we examined the association between volume of the hippocampus and its subregions with executive function to understand these relationships across the adult lifespan.

The study included 32 healthy, community-dwelling participants (age range = 18-81, mean age = 51.06 ± 20.98, 91% white, 72% female) who received a 3-Tesla magnetic resonance imaging (MRI) scan and completed a cognitive battery. We calculated an executive composite based on Trail Making Test Part B and the interference score from the Stroop Color and Word Test. Freesurfer (version 5.3) as used to quantify total hippocampal volume and subfield volumes for CA1, CA2-3, CA4-dentate gyrus, subiculum, and presubiculum. We conducted mixed-effects regression analyses with total hippocampal and subfield volume, age group (young, middle-aged, and older), and their interaction predicting the executive function composite, controlling for total intracranial volume.

Larger hippocampal subregion volumes in CA1 (p = 0.03), the subiculum (p = 0.01), and the CA4-dentate gyrus (p = 0.04) predicted better executive function. Total hippocampal volume and the presubiculum were not significantly associated with the executive function composite. The age group interaction was not significant for any of the models. Follow-up analyses by hemisphere showed that the effects were right lateralized in CA1and CA4-dentate gyrus, and bilateral in the subiculum.

These data support the literature demonstrating the involvement of the hippocampus in executive function and demonstrates variation across hippocampal subfields. The lack of significant age interactions suggests these relationships may not differ across the lifespan, although this finding would need to be replicated in larger samples. These findings support previous literature showing CA4-dentate gyrus’ association with neurogenesis may facilitate better executive function by increasing connection strength among CA1, CA2-3, and the frontal cortex. This study contributes to our understanding of how specific hippocampal subregions relate to executive function, which has both clinical and research implications.

Digitized cognitive assessment captures rich behavioral information that remains unmeasured using conventional methods. Data capture tools recently accessible only in specialized laboratories are now feasible at scale using off-the-shelf tablet devices. This study aims to share data from a digitized cognitive assessment embedded in an open-science research program collecting extensive neuroimaging, health, behavioral, neuropsychological, and psychiatric characterizations to advance translational cognitive neuroscience. In this research we present normative performance metrics from a digital version of the Trail Making Test.

The NKI-Rockland Sample (NKI-RS) has provided a model for openly-shared lifespan normative neuroimaging resources contributed by a community-ascertained sample (n=1,500, aged 6-85) and generating over 400 publications across diverse research areas. The next generation NKI-RS study (recruitment target= 600, aged 9-75) aims to enrich these resources for brain-behavioral research, normative reference, and biomarker discovery. One focus of innovation is the inclusion of digitized cognitive assessments (DCAs) utilizing an open-resource task development and data collection platform (Mindlogger, Child Mind Institute). We present preliminary data from a digitized version of the Trail Making Tests and report early descriptive metrics. The TMTs was administered via an iPad Pro using an Apple pen as part of a laboratory-based EEG procedure. The TMTs follows standard administration instructions, including a practice sample before each test condition. Error feedback is included in the task implementation such that an incorrect connection is marked with an “x” and the participant is directed to the last correct circle to continue. Feedback is automated within the task. Pixel-level spatial resolution and millisecond timing is captured across all drawing tasks. Task design, implementation, and preliminary performance metrics including speed, accuracy, and variability are reported.

Preliminary data include 12 participants from the NKI-RS2 study ranging in age from 11-75 years (M= 52.83, SD= 19.97); 67% female. Overall participants took longer to complete condition B (Mb = 51.71 secs) compared to condition A (Ma = 23.07 secs), p= 0.0005. Connections were made more slowly (Ma = 37.47 secs vs. Mb = 24.50 secs, p< 0.001) and connection speed was more variable (CVa = 0.90 vs. CVb = 1.22, p< 0.01) on condition B versus A. Connection speed decreased and speed variability increased with age (t[11 ]= -3.25, p= 0.05, t[11]= -3.63, p< 0.01, respectively). Time spent within circles (dwell time) was significantly greater in B versus A (t[11]= 6.81, p< 0.001). Number of errors were limited (MA = .89 and MB = 1.0, range 0-2 in both tests) with no difference between tests or effects of age (both ps >0.05).

These preliminary data from the NKI-RS2 normative neuroimaging study demonstrate that a digitized version of a classic neuropsychological test is feasible across a diverse range of community participants, and replicates known age effects. The advantages of growing access to these DCA tools and the shared data resources they will produce has the potential to revolutionize neuropsychological research and clinical practice.

Cognitive training is a non-pharmacological intervention aimed at improving cognitive function across a single or multiple domains. Although the underlying mechanisms of cognitive training and transfer effects are not well-characterized, cognitive training has been thought to facilitate neural plasticity to enhance cognitive performance. Indeed, the Scaffolding Theory of Aging and Cognition (STAC) proposes that cognitive training may enhance the ability to engage in compensatory scaffolding to meet task demands and maintain cognitive performance. We therefore evaluated the effects of cognitive training on working memory performance in older adults without dementia. This study will help begin to elucidate non-pharmacological intervention effects on compensatory scaffolding in older adults.

48 participants were recruited for a Phase III randomized clinical trial (Augmenting Cognitive Training in Older Adults [ACT]; NIH R01AG054077) conducted at the University of Florida and University of Arizona. Participants across sites were randomly assigned to complete cognitive training (n=25) or an education training control condition (n=23). Cognitive training and the education training control condition were each completed during 60 sessions over 12 weeks for 40 hours total. The education training control condition involved viewing educational videos produced by the National Geographic Channel. Cognitive training was completed using the Posit Science Brain HQ training program, which included 8 cognitive training paradigms targeting attention/processing speed and working memory. All participants also completed demographic questionnaires, cognitive testing, and an fMRI 2-back task at baseline and at 12-weeks following cognitive training.

Repeated measures analysis of covariance (ANCOVA), adjusted for training adherence, transcranial direct current stimulation (tDCS) condition, age, sex, years of education, and Wechsler Test of Adult Reading (WTAR) raw score, revealed a significant 2-back by training group interaction (F[1,40]=6.201, p=.017, η2=.134). Examination of simple main effects revealed baseline differences in 2-back performance (F[1,40]=.568, p=.455, η2=.014). After controlling for baseline performance, training group differences in 2-back performance was no longer statistically significant (F[1,40]=1.382, p=.247, η2=.034).

After adjusting for baseline performance differences, there were no significant training group differences in 2-back performance, suggesting that the randomization was not sufficient to ensure adequate distribution of participants across groups. Results may indicate that cognitive training alone is not sufficient for significant improvement in working memory performance on a near transfer task. Additional improvement may occur with the next phase of this clinical trial, such that tDCS augments the effects of cognitive training and results in enhanced compensatory scaffolding even within this high performing cohort. Limitations of the study include a highly educated sample with higher literacy levels and the small sample size was not powered for transfer effects analysis. Future analyses will include evaluation of the combined intervention effects of a cognitive training and tDCS on nback performance in a larger sample of older adults without dementia.

1) Evaluate the association of self- and study-partner report of subjective cognitive decline (SCD) to objective cognitive performance across ethnoracial groups. 2) Evaluate the concordance of self- and study partner report of SCD across ethnoracial groups.

Participants were 5241 non-Hispanic White (NHW), 267 non-Hispanic Black (NHB), 225 Hispanic, and 228 Asian participants screened for the A4 study (N=5961). Participants completed the Preclinical Alzheimer Cognitive Composite (PACC), and self- and study partner-report of SCD using the Cognitive Function Index (CFI). Analysis of variance was used to assess difference in key variables by ethnoracial group. Regression analyses were conducted to evaluate the association of SCD and objective performance by ethnoracial group, and the association between self-and study partner report of SCD by ethnoracial group.

Asian participants reported the highest mean CFI relative to all other groups, while NHW reported the lowest (F(3,5957)=41.93, p <.001). Asian and NHW participants had higher PACC scores relative to NHB and Hispanic participants (F(3,5957)=41.93, p <.001). Regression analyses revealed higher CFI was associated with lower PACC score across groups, and this association was strongest in the Asian sample relative to other groups (F(10, 5897)=40.49, p<.001,R2=.06). Evaluation of study partner characteristics suggested NBH participants had the highest proportion on non-spousal study partners relative to other groups. Regression analyses revealed no differences in the association of self- and study partner report of SCD across ethnoracial groups (F(10, 5859)=132.9, p<.001, R2=0.18).

Results suggest that that SCD is associated with objective cognitive performance across racial groups, although the strength of this association appears to vary in this sample. There is also consistent concordance between self- and study partner report of SCD across groups, despite differences in study partner relationships. SCD may be considered a valid predictor of subtle cognitive change across groups in the A4 sample. Limitations include small group sizes relative to the large NHW sample. Future work with larger, more representative samples are needed to further validate these findings.

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.

Several studies have noted associations of higher white matter hyperintensities (WMHs) with cognitive slowing and elevated depressive symptoms in older adults. Depression is also directly associated with cognitive slowing in later life. However, the influence of WMHs on the relationship between depressive symptoms and processing speed is unclear. This interrelationship between depression, processing speed, and WMH may differ between racial groups given the well-documented evidence of racial disparities in vascular disease, WMHs, and cognitive performance, however the literature is sparse. The goal of this current study, therefore, was to investigate whether WMHs mediate the relationship between depressive symptoms and processing speed, and if this relationship differs between Black and White older adults.

A total of 171 non-Hispanic White and 111 non-Hispanic Black older adults (total sample mean age = 82.71 ± 2.74; 42.91% male) from the Healthy Brain Project (a substudy of the Health, Aging, and Body Composition Study) underwent MRI as well as a neuropsychological evaluation. Total WMH volume was quantified for each participant using an automated procedure and normalized to total brain volume. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Digit Symbol Substitution Test (DSST) served as a measure of processing speed. Causal mediation analyses were performed between CES-D and DSST scores across the total sample as well as within racial groups (Black and White), with total WMH volume as the mediator.

The direct effect of the CES-D on DSST was significant (p = 0.012) for the total sample, reflecting slower processing speed at higher levels of depressive symptoms, but the indirect effect was not (p = 0.207). When analyses were stratified by racial group, the indirect effect was significant for Black (p = 0.054; 37.17% mediated) but not White participants (p = 0.207): For Black participants, the inverse relationship between depressive symptoms and processing speed was mediated by a positive relationship between depressive symptoms and WMHs.

While these data support previous findings relating depressive symptoms to slower processing speed across racial groups, our findings also demonstrate a greater impact of WMHs on this relationship in Black older adults compared to their White counterparts. This suggests that WMHs may serve as an important risk factor for cognitive slowing in older Black adults with higher depressive symptoms. Future studies are needed to further investigate the role of WMHs on depression-related deficits in processing speed and other cognitive domains in racially diverse groups.

Health disparities among African Americans (AAs) in the United States are evident, especially among older adults and people living with HIV (PLWH). These health disparities include worse cognitive functioning among AAs than White counterparts. Though disparities in health literacy among AAs impact health outcomes across clinical populations, less is known on the mechanistic role health literacy may play in explaining racial differences in cognitive functioning among older PLWH. The current study investigated the association between health literacy and global cognitive functioning among middle-aged and older AA and White adults with and without HIV in the Deep South.

Two hundred and seventy-three people (170 PLWH: 146 AA, 24 White; 103 HIV-negative: 67 AA, 36 White) were enrolled in an observational study and completed measures of sociodemographic characteristics, as well as the reading subtest of the Wide Range Achievement Test-3rd Edition to assess verbal IQ. A composite score of socioeconomic status (SES) was created using total years of education and annual household income. Neurocognitive functioning was assessed using a comprehensive cognitive battery (i.e., verbal, attention/working memory, executive function, learning, recall, speed of processing, and motor), from which a sample-based global Z-score composite was created. Health literacy was measured using a sample-based composite Z-score derived from the Rapid Estimate of Adult Literacy in Medicine, Test of Functional Health Literacy in Adults Reading Comprehension, Newest Vital Sign, and Expanded Numeracy Scale. First, multivariable linear regression analyses were performed within both PLWH and HIV-negative samples examining the association between race, SES, verbal IQ, and health literacy with cognitive functioning. These results informed two bootstrap confidence interval mediation analyses to determine whether health literacy mediated the association between race and global cognitive functioning.

In both PLWH and HIV-negative individuals, linear regressions showed that Whites had better global cognitive functioning, health literacy, and verbal IQ than AAs. Linear regressions showed that health literacy had an independent association with cognitive function when accounting for verbal IQ and SES. Mediations showed that health literacy significantly mediated the association between race and global cognitive functioning in both samples, independent of verbal IQ (PLWH: b = .07, 95% CI [0.0096, 0.2149]; HIV-negative: b = .15, 95% CI [0.0518, 0.2877]), indicating that Whites were expected to obtain higher global cognitive Z-scores than AAs in both PLWH and HIV-negative samples, through the mediating effect of better health literacy.

Health literacy significantly mediated the association between race and global cognitive functioning among middle-aged and older adults with and without HIV, underscoring the importance of health literacy in explaining racial disparities in cognitive outcomes among AAs in the Deep South. Findings have implications for guiding clinicians and healthcare providers in developing interventions that promote health literacy in these underserved populations, which may have downstream impacts on cognitive functioning. Future work is needed to examine mechanisms whereby health literacy impacts neurocognition among AA PLWH.

Despite the rise in literacy, 773 million of the global population is estimated to be illiterate. The rate of illiteracy is even higher among women and older adults (OA). Literacy has been well documented to impact cognitive skills, and most neuropsychological tests developed are for individuals with higher education. Moreover, there is sparse research on cognitive process and performance of illiterate individuals across cognitive domains.

Per a 2011 census, the illiteracy rate in the Indian older adult population was as high as 56%, and within this group, women and older adults in rural regions were especially vulnerable. Thus, it is important to understand cognitive performance of illiterate Indian older adult population, especially when they are being assessed for neurodegenerative disorders.

This study used subset of data from Harmonized Longitudinal Aging Study of India, Diagnostic Assessment of Dementia (LASI DAD), which was developed by the Gateway to Global Aging Data. A sample of cognitive healthy OA (n = 715) was selected based on Hindi Mental Status Exam score of >19 and a Clinical Dementia Rating Scale of 0 (literate = 419, illiterate = 296). Given the heterogeneity of the population, adapted cognitive instruments were used. This study compared memory performances, using word list and constructional praxis with delayed recall tasks, of OA based on their literacy status (illiterate vs. literate).

Literate cognitive healthy OA (M = 15.27, SD = 3.9) learned more words over three trials than illiterate OA (M = 12.17, SD = 3.7) on a world list task, a statistically significant difference (M = 3.1, 95% CI [2.5, 3.6], t (713) = 10.62, p<0.05. Literate OA (M = 8.7, SD = 2.2) had higher scores on task of copy of simple geometrical figures than illiterate OA (M = 5.3, SD = 2.8), a statistically significant difference (M = 3.3, 95% CI [2.9, 3.7], t (713) = 7.1, p<0.05. Literate OA (M = 4.5, SD = 1.8) also recalled more words than illiterate OA (M = 3.6, SD = 2.1) after a delay. Recall of geometric figures after a delay was higher for literate OA (M = 5, SD = 2.9) as well compared to illiterate OA (M = 2.4, SD = 2.5).

Conclusion: In a sample of cognitively healthy Indian older adults, literate OA consistently performed better than illiterate OA on both verbal and nonverbal memory measures. This is consistent with past literature which shows that illiterate individuals take longer to learn verbal information and have lower recall. Additionally, use of geometric figure may be complicated for these individuals. These are important considerations when assessing an OA for memory problems with low or no education. Next steps would be to look at differences across other cognitive domains and also examining if cognitive differences exist in illiterate OA based on gender.

People whose parents had dementia or memory impairment are at higher risk for later-life cognitive impairment themselves. One goal of our research is to identify factors that either increase the risk of or protect against family history of dementia over the life course. External locus of control has been associated with lower cognitive function in middle-aged and older adults. Previous findings have shown that adults racialized as Black have relatively high levels of external locus of control due to inequity and racism. We hypothesized that lower parental memory would be associated with lower offspring memory among Non-Latinx Black and Non-Latinx White (hereafter Black and White, respectively) adults; and associations would be stronger among participants with higher levels of external locus of control.

Participants comprised 594 adults racialized as Black or White (60.3% Black; 62% women; aged 56.1 ± 10.4; 15.3 ± 2.7 years of education) from the Offspring Study who are the adult children of participants in the Washington Heights Inwood Columbia Aging Project (WHICAP). Parental memory was residualized for age (74.3 ± 6.0) and education (13.7 ± 3.1). Self-reported external locus of control was assessed using 8 items from the the perceived control questionnaire. Memory was assessed with the Selective Reminding Test, and a composite of total and delayed recall scores were computed. Linear regression quantified the interaction between parental memory and external locus of control on memory in models stratified by race, and adjusted for age, sex/gender, and number of chronic health diseases.

Among Black participants (n=358), there were no main effects of parental memory or locus of control on offspring memory. However, lower parental memory was associated with lower offspring memory among Black participants with high levels of external locus of control (standardized estimate=0.36, p=0.02, 95%CI [0.05, 0.67]). Associations were attenuated and non-significant at lower levels of control. Among White participants (n=236), there was a main effect of parental memory on offspring memory, and this association did not vary by levels of external locus of control.

Poor parental memory, which reflects risk for later-life cognitive impairment and dementia, was associated with lower memory performance among White middle-aged participants. Among Black participants, this association was observed among those with high levels of external locus of control only. Economic and social constraints shape levels of external locus of control and are disproportionately experienced by Black adults. In the face of greater external locus of control, a cascade of psychological and biological stress-related processes may be triggered and make Black adults’ memory function more vulnerable to the detrimental impact of parent-related dementia risk. Longitudinal analyses are needed to clarify temporal associations. Nonetheless, these findings suggest that reducing social and economic inequities disproportionately experienced by Black adults may dampen the effect of intergenerational transmission of dementia risk on cognition.

Cognitive reserve and health-related fitness are associated with favorable cognitive aging, but Black/African American older adults are underrepresented in extant research. Our objective was to explore the relative contributions and predictive value of cognitive reserve and health-related fitness metrics on cognitive performance at baseline and cognitive status at a 4-year follow up in a large sample of Black/African American older adults.

Participants aged 65 years and older from the Health and Retirement Study (HRS) who identified as Black/African American and completed baseline and follow-up interviews (including physical, health, and cognitive assessments) were included in the study. The final sample included 321 Black/African American older adults (mean age = 72.8; sd = 4.8; mean years of education = 12.3; sd = 2.9; mean body mass index (BMI) = 29.1; sd = 5.2; 60.4% identified as female). A cross-sectional analysis of relative importance – a measure of partitioned variance controlling for collinearity and model order – was first used to explore predictor variables and inform the hierarchical model order. Next, hierarchical multiple regression was used to examine cross-sectional relationships between cognitive reserve (years of education), health-related fitness variables (grip strength, lung capacity, gait speed, BMI), and global cognition. Multiple logistic regression was used to examine prospective relationships between predictors and longitudinal cognitive status (maintainers versus decliners). Control variables in all models included age, gender identity, and a chronic disease index score.

Cross-sectional relative importance analyses identified years of education and gait speed as important predictors of global cognition. The cross-sectional hierarchical regression model explained 33% of variance in baseline global cognition. Education was the strongest predictor of cognitive performance (β = 0.48, p < 0.001). Holding all other variables constant, gait speed was significantly associated with baseline cognitive performance and accounted for a significant additional amount of explained variance (ΔR = 0.01, p = 0.032). In a prospective analysis dividing the sample into cognitive maintainers and decliners, a single additional year of formal education increased chances of being classified as a cognitive maintainer (OR = 1.30, 95% CI = 1.17-1.45). There were no significant relationships between rate of change in health-related fitness and rate of change in cognition.

Education, a proxy for cognitive reserve, was a robust predictor of global cognition at baseline and was associated with increased odds of maintaining cognitive ability at 4-year follow up in Black/African American older adults. Of the physical performance metrics, gait speed was associated with cognitive performance at baseline. The lack of observed association between other fitness variables and cognition may be attributable to the brief assessment procedures implemented in this large-scale study.

Mind-wandering is defined as a spontaneous shift of attention away from the external environment to inner thoughts. With mind-wandering being a ubiquitous phenomenon, there has been increasing interest in examining the role these spontaneous, and often unintentional, thought processes may have for metrics of cognitive and psychological health. However, much of this literature is mired with inconsistencies, potentially stemming from the use of variegated experimental methods and quantification of mind-wandering through different metrics. For example, mind-wandering has been investigated through endorsement of self-report probes embedded in tasks of sustained attention, with participants asking to endorse whether they were engaging in task-unrelated thoughts or task-related, but evaluative thoughts about the task (task-related interference). Other studies have instead focused on behavioral metrics of task performance, like omission and commission errors, the variability in response time (RTCV), and speeding or slowing prior to errors to quantify mind-wandering. In this study, employing a large sample of older adults, and implementing the novel technique of partial least squares regression, we examined the combined and simultaneous effect of different mind-wandering metrics in explaining variance in fluid cognition and psychological health in older adults.

One hundred and fifty older adults with normal cognition or mild cognitive impairment were administered a Go/No-Go Task (GNG) with embedded mind-wandering probes, the Conners CPT-3, the NIH Toolbox-Cognition Battery, and the WHO Quality of Life Assessment Brief Version at baseline in a clinical trial examining the impact of two mind-body interventions on aging. Based on previous research, the following variables were considered behavioral measures of mind-wandering: quantity of omission and commission errors, RTCV, pre-error speeding, and post-error slowing. Percentage of self-reported task-related interference (i.e. evaluating current performance) and task-unrelated thoughts were included as self-report measures of mind-wandering. These mind-wandering measures, along with demographic variables (age, sex, and education), were regressed using Partial Least Squares Regression to determine the impact of mind-wandering measures on fluid cognition (NIHT-CB) and perceived psychological well-being (WHOQOL-BBREF). Validation tests were completed to assess model fit.

A single latent factor explained 26% of the variance in fluid cognition (p=0.0001). Higher levels of age, errors of omission on both tasks, and task-related interference were all associated with worse fluid cognition, whereas task-unrelated thoughts were associated with better fluid cognition.

A two-factor latent model explained 12% of the variance in perceived psychological well-being (p=0.0004). Age and task-unrelated thoughts were positively associated with psychological well-being. In contrast, errors of omission on both tasks, response time variability on the CPT, and task-related interference were negatively associated with perceived psychological well-being.

Mind-wandering is associated with fluid cognition and perceived psychological well-being in older adults. Select behavioral measures were better than self-report measures at linking mind-wandering to fluid cognition and perceived psychological well-being. Interestingly task-unrelated thoughts, but not task-related interference, was positively associated with fluid cognition, supporting the cognitive resource-based account of mind-wandering. The result of our study provides novel insights into differential relationships between various metrics of mind-wandering and cognitive and psychological health.

Given that African American older adults are disproportionately at risk for the development of dementia, identifications of sensitive risk and protective factors are of high importance. Subjective decline in cognition is a potentially easy to assess clinical marker, as it has been previously associated with increased risk of converting to MCI and/or dementia. Subjective decline in cognition is complex though, in that it has also been associated with psychosocial factors. Given this, and the fact that the bulk of research on subjective decline in cognition has been conducted in older white adults, research in diverse samples is needed. The present study sought to address these gaps by examining interactions between race and psychosocial risk (dysphoria) and protective (social activity) factors in the prediction of subjective cognition.

Older white (n = 350) and African American (n = 478) participants completed questionnaires via Qualtrics Panels (m age = 65.9). Subjective decline in cognition was assessed via the Multifactorial Memory Questionnaire (MMQ). Dysphoria was assessed via the Inventory of Depression and Anxiety Symptoms-II Dysphoria subscale (IDAS). Frequency of late life social activity was assessed via a validated series of questions used by the Rush Alzheimer’s Disease Center. Race, dysphoria, late life social activity, and interactions between race and dysphoria and race and social activity were analyzed as predictors of subjective decline in cognition via linear regression.

The overall model accounted for a significant portion of the variance in subjective decline in cognition, F(6, 713) = 38.38, p < .01, with an R2 of .24. The interaction between race and dysphoria was significant, such that the relationship between dysphoria and subjective decline in cognition was stronger for older adults who are African American. Race, dysphoria, social activity, and the interaction between race and social activity were not significant predictors.

While dysphoria and related negative affect variables have been previously associated with subjective cognition, interactions with race are rarely analyzed. Our results show that the relationship between dysphoria and subjective decline in cognition were stronger for African American older adults. This result is of clinical importance, as dysphoria is central to many internalizing disorders, which have been associated with subjective cognition and the development of MCI and dementia. Future research should seek to analyze drivers for this associations and if interventions for dysphoria may reduce subjective decline in cognition for African American older adults.

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.

Hispanic/Latino (H/L) older adults are at greater risk of developing Alzheimer’s disease and related dementias compared to non-Hispanic whites (NHW), and there is an urgent need to identify important factors that may help prevent and/or reduce age-related cognitive health disparities. Positive psychosocial factors, such as social support, may protect against cognitive impairment and decline. However, recent research has highlighted that the effect of social support on cognitive outcomes may differ across racial/ethnic groups. Given the emphasis placed on family relationships and support in H/L culture, the current study sought to clarify whether H/L ethnicity moderated the association between social support and cognitive functioning in a well-characterized sample of community-dwelling older adults residing in Texas.

Participants included 766 NHW and 817 H/L (predominantly Mexican American) older adults (Mage = 66.25 ±8.64) without dementia enrolled in the Health and Aging Brain Study-Health Disparities. Participants completed study questionnaires and a comprehensive neuropsychological battery. Perceived social support was measured using the total sum score from the 12-item abbreviated version of the Interpersonal Support Evaluation List. Episodic memory performance was operationalized as the z-score composite of the immediate and delayed recall totals from the Spanish English Verbal Learning Test and the Weschler Memory Scale (WMS)-III Logical Memory 1 and 2. Executive functioning was operationalized as the z-score composite of scores from the WMS-III Digit Span, Verbal Fluency (FAS), and Trails B. Analyses of covariance were used to explore racial/ethnic group differences in self-reported levels of social support. Multiple linear regression models examined (1) ethnicity x social support interactions on cognition, and (2) ethnicity-stratified social support and cognition associations. Covariates included age, education, sex, yearly income, and depressive symptoms.

H/L older adults reported less perceived social support compared to NHWs (F = 41.16, p < .001). There were no significant ethnicity x social support interactions on episodic memory (ß = 0.04, p = .53) or executive functioning (ß = 0.004, p = .95). However, stratified models revealed that more social support was associated with better memory performance in H/Ls (ß = 0.08, p = .01), but not in NHWs (ß = 0.0004, p = .99). No significant associations between social support and executive functioning were observed amongst H/Ls (ß = -0.01, p = .60) or NHWs (ß = 0.04, p = .29).

Although H/Ls reported lower levels of social support relative to NHWs, we observed that social support was linked to better memory performance within the H/L group only. Results suggest that culturally tailored interventions which encourage strong interpersonal relationships and caring for family could enhance social support in H/Ls and thus help to prevent memory decline. Future work should focus on the development of assessment measures that better characterize unique cultural elements of social support within H/Ls, such as multigenerational households, and explore the direct effects of social support on brain metrics.

Accurately interpreting cognitive change 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 statistics, especially since multiple scores compose a typical battery. This study sought to establish quick-reference normative criteria to help neuropsychologists identify how frequently significant change occurs across multiple measures in cognitively normal older adults.

Data were obtained from the National Alzheimer’s Coordinating Center (NACC). Participants were 845 older adults who were classified as cognitively normal at baseline and at 24-month follow-up. In NACC, these clinical classifications are made separately from the assessment of cognitive performance, including cognitive change. The sample was 34.9% female, 83.5% White, 13.1% Black 2.3% Asian, and 1.1% other race with a mean age of 70.7 years (SD=10.2). Of the sample, 95.5% identified as non-Hispanic. Mean education was 16.1 years (SD=2.8). The cognitive battery entailed: Craft Story Immediate and Delayed Recall, Benson Copy and Delayed Recall, Number Span (Forward & Backward), Category Fluency (Animals & Vegetables), Trails A&B, Multilingual Naming Test, and Verbal Fluency (F&L). Change scores between baseline performance and 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 each 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 follow-up. Across cognitive measures, 81.9% of participants had at least one change score fall below the 10th percentile in the distribution of change scores, and 55.7% had at least one score below the 5th percentile, 49.3% of participants had two or more change scores that fell below the 10th percentile and 21.1% with two or more below the 5th percentile. There were 26.7% participants that had three or more change scores below the 10th percentile, and 6.4% of participants had three change scores below the 5th percentile.

Among cognitively normal older adults assessed twice at a 24-month interval with a battery of 13 measures, it was not uncommon for an individual to have at least one score fall below the 10th percentile (82% of the sample) or even the 5th percentile (56%) in the natural distribution of change scores. There were 27% participants that had three or more declines in test performance below the 10th percentile; in comparison, only 6% of the sample had three or more change scores 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.

People with HIV (PWH) are at an increased risk for cognitive impairment as they age compared to their HIV-negative counterparts. Lifestyle factors can have protective effects on cognitive outcomes among PWH. However, little work has examined diet quality and cognitive function in PWH. Examining the association between diet quality and cognitive function among PWH is particularly important given this population’s increased risk for both poor diet quality and cognitive impairment. The purpose of this study was to examine the relationship between diet and cognitive function in aging PWH.

This cross-sectional study was conducted in Birmingham, Alabama and Cleveland, Ohio. Eighty-six PWH (mean age 56 years) completed standard triple-pass 24-hour diet recalls and a neurocognitive assessment. Partial Pearson’s correlations were conducted between diet variables and global neurocognitive function T scores, adjusting for total calories, sex, and education level.

Overall diet quality of the sample was poor. The overall sample presented with low Healthy Eating Index (HEI)-2015 scores, high glycemic index, twice the goal amount for saturated fatty acids (SFAs), and inadequate consumption of several nutrients typically associated with cognitive health including omega-3 fatty acids, dietary protein, fiber, Vitamin D, Zinc, and several B-vitamins. Greater total calories per day (r=0.28, p<0.05), greater percentage of total calories of SFAs (r=0.26, p<0.01), and lower glycemic index (r=-0.24, p<0.05) were associated with better cognition. Higher intake of several individual fatty acids, particularly SFAs, were associated with better cognition (correlations ranging from 0.23 to 0.31). Higher intakes of phosphorus (r=0.29, p<0.01), magnesium (r=0.25, p<0.05), and potassium (r=0.22, p<0.05) were associated with better cognition. Higher grams/day of several amino acids were associated with better cognition (correlations ranging from 0.22 to 0.27).

In a sample with overall poor diet quality not meeting recommended guidelines, findings suggest that being nourished in itself is associated with better cognitive function. Associations with several individual nutrients may inform potential intervention targets to protect brain health in PWH. Further, targeting food insecurity in interventions may have downstream effects on cognition in PWH.

Understanding the factors contributing to optimal cognitive function throughout the aging process is essential to better understand successful cognitive aging. Processing speed is an age sensitive cognitive domain that usually declines early in the aging process; however, this cognitive skill is essential for other cognitive tasks and everyday functioning. Evaluating brain network interactions in cognitively healthy older adults can help us understand how brain characteristics variations affect cognitive functioning. Functional connections among groups of brain areas give insight into the brain’s organization, and the cognitive effects of aging may relate to this large-scale organization. To follow-up on our prior work, we sought to replicate our findings regarding network segregation’s relationship with processing speed. In order to address possible influences of node location or network membership we replicated the analysis across 4 different node sets.

Data were acquired as part of a multi-center study of 85+ cognitively normal individuals, the McKnight Brain Aging Registry (MBAR). For this analysis, we included 146 community-dwelling, cognitively unimpaired older adults, ages 85-99, who had undergone structural and BOLD resting state MRI scans and a battery of neuropsychological tests. Exploratory factor analysis identified the processing speed factor of interest. We preprocessed BOLD scans using fmriprep, Ciftify, and XCPEngine algorithms. We used 4 different sets of connectivity-based parcellation: 1)MBAR data used to define nodes and Power (2011) atlas used to determine node network membership, 2) Younger adults data used to define nodes (Chan 2014) and Power (2011) atlas used to determine node network membership, 3) Older adults data from a different study (Han 2018) used to define nodes and Power (2011) atlas used to determine node network membership, and 4) MBAR data used to define nodes and MBAR data based community detection used to determine node network membership.

Segregation (balance of within-network and between-network connections) was measured within the association system and three wellcharacterized networks: Default Mode Network (DMN), Cingulo-Opercular Network (CON), and Fronto-Parietal Network (FPN). Correlation between processing speed and association system and networks was performed for all 4 node sets.

We replicated prior work and found the segregation of both the cortical association system, the segregation of FPN and DMN had a consistent relationship with processing speed across all node sets (association system range of correlations: r=.294 to .342, FPN: r=.254 to .272, DMN: r=.263 to .273). Additionally, compared to parcellations created with older adults, the parcellation created based on younger individuals showed attenuated and less robust findings as those with older adults (association system r=.263, FPN r=.255, DMN r=.263).

This study shows that network segregation of the oldest-old brain is closely linked with processing speed and this relationship is replicable across different node sets created with varied datasets. This work adds to the growing body of knowledge about age-related dedifferentiation by demonstrating replicability and consistency of the finding that as essential cognitive skill, processing speed, is associated with differentiated functional networks even in very old individuals experiencing successful cognitive aging.

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.

The goal of our study was to examine the possible effects of a strategies-based training intervention on objective memory performance and subjective memory in healthy older adults. While slight declines in memory naturally occur in the aging process, these changes may impact the quality of life for older adults.

Patients (n = 11, aged 50-80, mean age = 70.73, SD = 4.41) with subjective memory complaints were recruited from memory clinics within an academic medical center. All participants engaged in one-on-one, three one-hour memory training sessions over the course of several weeks to undergo strategies-based training intervention (e.g., mnemonics). All participants completed neuropsychological battery of tests at baseline and at post-intervention (about 8-10 weeks after baseline). Tests included the Montreal Cognitive Assessment (MoCA), the Hopkins Verbal List Test (HVLT-R), the Visual Reproduction subtest of the Weschler Memory Scale (WMS-IV), and the Multiphasic Memory Questionnaire.

Data were analyzed using a mixed between-within subjects ANOVA and t-tests. Groups were created based on the participant’s MoCA score. While a total of 11 participants completed baseline testing and the memory training sessions, two did not return for post-intervention testing; as such their data were excluded from analyses. Older adults with a MoCA score of 26-30 (n = 6), but not older adults with a MoCA score 25 and below (n = 3), had a significant improvement in visual learning and encoding, F (1, 7) = 10.028, r = .50, p < .05. The high MoCA performers demonstrated an improved performance in their immediate visual memory from baseline (M = 10, SD = 3.53) to post-intervention (M = 12, SD = 3.35), t(9) = .895, p = .001 (two-tailed). Ratings of memory satisfaction among high MoCA performers also increased from baseline (M = 48, SD = 11.47) to post-intervention (M = 51, SD = 5.43), t(9) = .707, p < .05 (two-tailed). Among both groups, a significant increase in perceived memory ability was demonstrated from baseline (M = 50, SD =10.1) to post-intervention (M = 54, SD = 12.35), t(8) = .807, p < .05 (two-tailed).

These findings indicate that a brief memory training program may improve visual encoding and subjective memory in healthy older adults with memory concerns. Individuals with subjective memory concerns who undergo a cognitive training program seem to demonstrate improved encoding of nonverbal material. These participants also reported a greater memory satisfaction and improved perceived memory ability after completion of a memory training program. Interestingly, these findings were only seen in adults whose MoCA performance was within normal limits. Although a systematic review suggests the improvement of memory performances on cognitively impaired participants (Simon, Yokomizo, & Bottino, 2012), this may not have been demonstrated in the current study due to a low sample size and/or to the brief duration of the cognitive training. Future directions include increasing sample size and offering booster sessions to explore whether cognitively impaired adults may benefit from repetition.