bluuebunny/crossref_metadata_2025_split huggingface dataset:
69 Evaluation of Ethnoracial Differences in Self- and Study-Partner Reported Subjective Cognitive Decline
Authors: Robinson Talia L , Klinger Hannah M , Buckley Rachel F , Deters Kacie D , Quiroz Yakeel T , Rentz Dorene M , Sperling Reisa A , Amariglio Rebecca E 
Published: December 2023

Objective: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 and Methods: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.Results: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).Conclusions: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.
72 Dietary Fat and Measures of Attention and Learning in Middle-Aged Adults
Authors: McMillan Taylor M , Ahmed Fayeza S 
Published: December 2023

Objective:Research examining dietary fat in relation to physical and cognitive health is mixed. Generally, it has been hypothesized that polyunsaturated fatty acids (PUFAs) have vascular, anti-inflammatory, and neuroprotective effects1,2,3. Monounsaturated fatty acids (MUFAs) commonly occur with saturated fatty acids (SFA) in certain foods, and some research suggests that consumption is associated with increased vascular risk4; however, there is limited research examining combined MUFAs and SFAs consumption from traditional Western diet foods (e.g., pizza, desserts) compared to animal (e.g., butter, cow milk, salmon) and plant products (e.g., coconut oil, cocoa butter). Furthermore, much of the research examining dietary components/supplementation and cognition is in older adult or at-risk samples, with limited research examining the relationships among middle-aged and cognitively unimpaired adults. We present preliminary data from an ongoing pilot study.Participants and Methods:39 middle-aged (40-65 years, inclusive) cognitively unimpaired individuals were recruited from the community. The Food Frequency Questionnaire (Short-Form; SF-FFQ) was used to calculate diet components and servings during a “typical week.” Attention and working memory were measured using trial one of the California Verbal Learning Test - Third Edition (CVLT-III), Oral Trail Making Test Part B, Number Span (forward and backward), Stroop Color and Color-Word trials. Genetic and other plasma-based data for 25 participants have also been obtained, and analysis is in progress; we plan to analyze these additional components in greater detail once we have achieved our target sample size.Results:Nonparametric correlation analyses revealed no significant relationships between total dietary fat (as measured by the SF-FFQ) and cognitive performance, which included CVLT Trial 1 (r = .28, p = .09), Oral Trail Making Test Part B (r = .02, p = .89), Number Span Forward (r = .18, p = .27) and Number Span Backward (r = -.04, p = .83), Stroop Color trial (r = -.10, p = .56), and Stroop Color-Word trial (r = -.09, p = .58). Notably, however, data is continuing to be collected and these relationships will be examined further with additional data.Conclusions:While total fat consumption was expected to be associated with attention and working memory measures, correlations revealed nonsignificant relationships. Notably, there are important limitations to consider, as other expected relationships based on previous research findings/theoretical relationships (e.g., positive correlation between waist-to-hip ratio and fat consumption) were lacking. A primary limitations of this study included a small sample size of cognitive and physically healthy middle-aged adults. Regardless, these relationships should be explored further with a greater and more diverse sample size.
91 Agent Orange Exposure and Mild Cognitive Impairment in U.S. Vietnam Era Veterans
Authors: Toomey Rosemary , Franz Carol E , Elman Jeremy A , McKenzie Ruth E , Kremen William S , Lyons Michael J 
Published: December 2023

Objective:US forces used Agent Orange (AO) during the Vietnam War and continued to store/test it at other locations after the war. AO is a powerful herbicide including dioxin, a highly toxic ingredient classified as a human carcinogen. The National Academies of Sciences, Engineering, and Medicine periodically review the literature on the health effects of AO exposure (AOE) and concluded in 2018 that there is sufficient evidence linking AO with a wide range of adverse health outcomes, including neurologic disorders (e.g., Parkinson’s disease). The VA has a list of medical disorders considered presumptive conditions related to AOE. More recently, AOE has been linked to a nearly double risk compared to those without AOE for receiving a dementia diagnosis. To our knowledge, no one has investigated the association of AOE to mild cognitive impairment (MCI), a condition thought to precede dementia.Participants and Methods:We examined men in three waves of the Vietnam Era Twin Study of Aging (VETSA). In wave 3, participants self-reported yes/no to the question of whether they ever had prolonged or serious AOE. MCI was diagnosed by the Jak-Bondi approach. Impairment was defined as 2+ tests within a cognitive domain that were more than 1.5 standard deviations below normative means after adjusting for premorbid cognitive ability. In mixed effects models, we tested the effect of AOE on MCI status. Models were adjusted for age, ethnicity, and non-independence within twin pairs.Results:In wave 3, 12.6% (230) of 1167 participants reported AOE. Those with AOE data had mean ages of 51.1 (wave 1), 56.0 (wave 2), and 61.4 (wave 3). Those with data on both AOE and MCI numbered 861 (wave 1), 900 (wave 2), 1121 (wave 3), and 766 had AOE and MCI at all waves. AOE was significantly related to wave 2 MCI (p < .001), but not to waves 1 and 3 MCI. AOE was significantly associated with the number of time points at which someone met criteria for MCI (p = .011). Analyses were conducted on six cognitive domains used to diagnose MCI, using available participants per wave. At all 3 waves, AOE was significantly associated with lower scores in processing speed (p = .003, p = .004, p = .005, respectively), working memory (p < .001, p = .002, p = .008) and nearly significant at all waves for executive dysfunction (p < .001, p < .001, p = .050). There were two other significant associations [wave 2 memory (p = .038), wave 3 fluency (p = .024)]. The semantic fluency cognitive domain was unrelated to AOE in all waves.Conclusions:AOE was consistently associated with lower processing speed, working memory, and executive dysfunction in males ages 51-61. It was also associated with the number of time points at which one met criteria for MCI in that age range, and with MCI in the mid-fifties. Findings support the idea of a risk for greater cognitive decline in those exposed to AO earlier in their lives, and with a risk for developing MCI.
62 Neural Correlates of Cognitive Function in the Basal Ganglia
Authors: Hunter Chris M , Khandelwal Vaibhav , Narayanan Nandakumar 
Published: December 2023

Objective:Timing, or the decision of when to act, is essential to mammalian behaviors from escaping predators to driving a car. It requires cognitive functions such as working memory for time-based rules and attention to the passing of time. Thus, it can be used as a proxy for higher order executive functions that are difficult to measure but are impaired in many neurological disorders. Therefore, insights from studies of interval timing, tasks which require estimating time intervals of several seconds, have great value for our understanding of human disease. Crucial to timing is the basal ganglia, which integrates cortical activity with midbrain dopamine signals and sends out signals to the spinal cord that regulate movement, motivation, and other behaviors. We have previously found that within the basal ganglia, medium spiny neurons of the striatum exhibit ramping activity in time-related tasks. In other words, they gradually increase or decrease firing frequency across a timed interval, and this is thought to encode time. Yet it is still unknown how the encoding of time is translated into time-based motor responses. To answer this question, we turned to the external globus pallidus (GPe) because it is a regulatory hub within the basal ganglia and is thus well positioned to regulate timing behavior. We sought to examine how the GPe functions in response to time-based demands.Participants and Methods:We recorded from neuronal ensembles using 16 channel electrode arrays implanted in the GPe of five mice while they performed an interval timing task called the switch interval timing task. Spike sorting was then used to identify signal from individual neurons.Results:Data were compiled from 43 neurons over several trials. Principal component analysis of neural firing activity was then conducted and revealed a downward ramping pattern in GPe neurons during interval timing trials. Data were then separated based on trials in which mice made correct decisions and those in which mice made a mistake. We found that when mice make correct timing decisions, there is downward ramping activity in the GPe, yet when mice make timing mistakes, this ramping pattern is lost.Conclusions:Our findings suggest that the GPe processes timing signals through ramping activity, before projecting to the output nuclei of the basal ganglia. This is a novel finding and contributes to a growing understanding of the temporal code of the basal ganglia. The full extent of this code is still unknown, but this insight contributes to a better understanding of how the globus pallidus represents cognition. If we can better explain the neural correlates of timing, we can use this knowledge to inform therapeutic interventions for basal ganglia dysfunction, which could have profound implications for diseases like Parkinson’s disease, which affects millions around the world.
88 REASmash: A serious game in immersive virtual reality for the evaluation of spatial and non-spatial attention impairments in post-stroke individuals.
Authors: Ajana Khawla , Everard Gauthier , Lejeune Thierry , Edwards Martin Gareth 
Published: December 2023

Objective:Stroke results in various cognitive and motor impairments. The most frequent cognitive problem is spatial and non-spatial attention, typically caused by unilateral brain lesion. Attention is typically assessed with several different paper-and-pencil tests, which have long been criticized for their lack of theoretical basis, their limited ecological validity to deficits experienced in daily life, and their lack of measurement sensitivity (Appelros et al., 2004; Azouvi, 2017). Here, our global aim was to develop an innovative integrative serious game in an immersive environment. The REASmash, combines the evaluation of spatial attention, non-spatial attention, and motor performance. We present the spatial and non-spatial cognitive attention evaluation results.Participants and Methods:Eighteen first stroke individuals and 40 age-match healthy controls were assessed on the REASmash. They were instructed to find a target mole presented amongst distractor moles. The stimulus array consisted of a grid of 6 columns and 4 rows of molehills, from which the target and 11, 17 and 23 distractors moles could randomly appear, in two search conditions (single feature condition and saliency condition). Responses were made with the ipsilesional hand for individuals with stroke and with the dominant hand for the healthy controls. Participants were evaluated also with two standardized clinical tests of attention; the hearts cancellation task of the Oxford Cognitive Screen, and the visual scanning subtest of the Test for Attentional Performance.Results:Validation results showed significant and strong correlations between the REASmash and the two reference tests, with the REASmash showing high sensitivity and specificity (i.e., the correct identification of the post-stroke vs. control individuals). The REASmash also showed significant and strong test/re-test reliability. We additionally evaluated user experience using the UEQ, and the results showed excellent attractiveness and novelty, and good stimulation and efficiency.Conclusions:In conclusion, the REASmash is a novel immersive virtual environment serious game that is valid, sensitive, and usable. It provides a new diagnosis measure spatial and non-spatial attention impairment.
32 Impacts of Multiple Sclerosis on Verbal Learning and Memory in Aging
Authors: Ross Daliah , Holtzer Roee 
Published: December 2023

Objective:Multiple sclerosis (MS), an inflammatory autoimmune disease of the central nervous system, is characterized by damage to white matter via myelin degeneration with resulting sclerotic plaques and lesions. Upwards of 70% of people with MS show cognitive changes in multiple domains including verbal memory. Advances in disease-modifying therapies have increased the expected lifespan of people with MS, making aging with MS a critical emerging area of study. Memory declines during normal aging, yet the specific impact of MS on verbal memory in aging is inconclusive and understudied. To address this gap in knowledge, we examined whether MS was associated with verbal learning slope, total learning, delayed recall, and recognition performance in older adults. We further explored whether MS disease severity influenced these memory operations.Participants and Methods:Participants included two cohorts: older adults with MS recruited from MS centers and patient registries, and healthy controls recruited from the community. A total of 164 adults age 60 and older without dementia were included in the current study, 79 in the MS group (mean age = 65.05 + 4.72; %female = 62) and 85 in the control group (mean age = 69.53 + 6.65; %female = 65.9). All participants were administered a neuropsychological battery including the Hopkins Verbal Learning Test-Revised (HVLT-R). The Patient Determined Disease Steps (PDDS), a patient-rated score of disability severity in MS comprised of eight steps related to walking ability, was used to operationalize MS severity. Using a median split, the PDDS was dichotomized into low (PDDS = 0-2) versus high (PDDS = 3-5) MS severity groups. Linear regression models were run to examine the effect of group (MS vs. control) and disease severity (PDDS) on four operations from the HVLT-R: learning slope, total learning, delayed recall, and recognition. Statistical analyses adjusted for age, years of education, and sex.Results:Linear regression models revealed that older adults with MS showed lower total learning compared to healthy controls (β = -.18, p = .03). Learning slope, delayed recall, and recognition did not differ by group (p > .05). Compared to healthy controls, older adults with high MS severity performed worse on total learning (β = -.21; p = .01) and delayed recall (β = -.18; p = .03). Group differences on learning slope and recognition were not significant (p > .05).Conclusions:The presence of MS was associated with worse total learning. Moreover, high severity of MS was associated with worse total learning and delayed recall in older adults. These results delineate the influence of MS on specific memory operations and emphasize the potential utility of disease severity on cognitive performance in aging.
35 The Association Between Social Support and Cognition in Older Adults with Multiple Sclerosis
Authors: Cohen Hannah R. , Holtzer Roee 
Published: December 2023

Objective:Research has shown that social support has protective effects against cognitive decline in older adults. No study to date has examined the relationship between social support and cognition in older adults with Multiple Sclerosis (MS). Advances in treatments for MS have resulted in a growing number of aging individuals with MS, making it imperative to identify modifiable risk factors that affect cognition, such as social support. Therefore, this study was designed to examine the association between social support and cognition in older adults with MS and healthy controls.Participants and Methods:Participants were older adults with MS (N = 70; M age = 64.71, SD + 3.86 years; 62.9% female) and community-residing older adults (N = 74; M age = 68.42, SD + 5.96 years; 58.1% female). Perceived social support was assessed using the Medical Outcomes Study Modified Social Support Survey (MSSS), which measures emotional/informational support, tangible support, affectionate support, and positive social interaction. Cognition was assessed with the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), which measures immediate and delayed memory, attention, language, and visuospatial abilities. Linear regressions stratified by group status (MS vs. control) assessed the association between perceived social support and cognition.Results:Linear regressions controlling for age, gender, education, and medical comorbidities showed that higher total MSSS scores were related to higher RBANS scores in the MS group (β = 0.243, p = .046) and marginally in the control group (β = 0.239, p = .053). Examination of MSSS domains showed that emotional/informational support (β = 0.246, p = .044) and positive social interaction (β = 0.279, p = .023) were significant predictors of RBANS performance in the MS group. Positive social interaction (β = 0.262, p = .011) was a significant predictor of RBANS performance in the control group. Analyses that further adjusted for depression scores showed that positive social interaction remained a significant predictor of RBANS performance in the control group (β = 0.361, p = .005). In contrast, depression scores attenuated associations between all aspects of social support and RBANS performance in the MS group (p > .05).Conclusions:Among older adults, the association between social support and cognition varied as a function of MS status. Overall perceived social support, emotional/informational support, and positive social interaction were significantly associated with cognition in the MS group. However, depressive symptoms attenuated these associations. In contrast, positive social interaction was the key driver of the association between social support and cognition among the healthy controls, and notably, this association remained significant even after adjusting for depressive symptoms.
37 Adherence to treatment in Multiple Sclerosis. The importance of personality, executive functions, and social support
Authors: Raudeberg Carlos Alberto Martinez , Crivelli Lucia , Calandri Ismael , Arruabarrena Micaela , Piedrabuena Maria Agustina , Piedrabuena Maria Agustina , Ysrraelit Maria Celica , Allegri Ricardo , Correale Jorge 
Published: December 2023

Objective:To test whether adherence to treatment in patients with MS is influenced by cognitive variables (executive functions), personality, and social support.Participants and Methods:This is a pilot observational, descriptive, cross-sectional study. 60 patients with Relapsing remitting MS ( 73.33% female; age: 41.41 ±14.00) undergoing medical treatment ( 28 dymethilfumarate, 7 ocrelizumab/ rituximab, 6 fingolimod, 5 interferon, 5 natalizumab, 4 cladribine, 3 teriflunomide, 1 alemtuzumab, 1 glatiramer acetate) underwent a comprehensive multi-component evaluation including : cognition, social support (using the self-reported record of social support scale), personality (using the NEO-FFI questionnaire) and evaluation of treatment adherence using the Morisky Green Levine Medication Adherence Scale Participants were divided into two groups according to their adherence to medical treatment, low vs. high adherence was defined using a cutoff score of 4. Differences between groups were evaluated using Student's t-test with a significance level of p<0.05, the effect size was calculated with Cohen's d test.Results:Groups did not differ significantly in age, sex, type of treatment, Montreal Cognitive Assesments (MoCA) or neuropsychiatric scales of depression and anxiety. Regardless of treatment type, 63.33% of the patients had high treatment adherence. Significant differences between groups were found in the Global Index of Social Support (p=0.016, Cohen's d= 0.73) and the responsibility factor of the NEO-FFI (p=0.048, Cohen's d= 0.20). Conversely, no significant differences were found in executive functions (p=0.8), Openness (p=0.062), Extraversion (p=0.5), Neuroticism (p=0.4) and Agreeableness (p=0.8).Conclusions:Social support and the responsibility factor of personality are significantly different between MS patients with high and low adherence to medical treatment. The study of social support and personality may be a key component in improving adherence strategies.