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Background: The SARS-CoV-2 pandemic accelerated development of innovative methods for conducting research remotely via digital technologies. However, few studies have examined participant technological literacy skills or access as key social determinants of brain health in aging populations at risk of Alzheimer's disease and other dementias., Objective: To identify associations of sociodemographic and clinical characteristics, cognitive status and geolocation with digital technology access and skill within dementia research cohorts., Methods: A self-administered questionnaire surveyed digital access and literacy skills in persons enrolled across various studies conducted at Emory Goizueta Alzheimer's Disease Research Center. We investigated cognitive and sociodemographic characteristics, and neighborhood disadvantage related to these digital attributes., Results: Of 1860 participants (mean age: 65.3 years (SD:11.4)) surveyed, 71.6% were women, 87.1% Whites, 10.4% African Americans, and 46.9% had postgraduate-level education. Most participants had access to digital devices: desktop (53.7%), laptop (81.6%), tablet (71.6%), smartphone (94.6%), internet (82.0%), or videoconferencing (95.5%). Cognitively unimpaired participants had higher odds of digital access (OR:3.75; 95% CI:2.45-5.73) and skill (OR:1.22; 95% CI:1.14-1.30). Although Whites were likelier to have access (OR:1.36; 95% CI:1.01-1.82) than African Americans, no differences were found in skill between the two groups. Living in more disadvantaged neighborhoods was significantly associated with lower technology skills (OR:0.86; 95% CI:0.82-0.91)., Conclusions: Cognitive impairment, race, and neighborhood socioeconomic disadvantage are significant barriers which limit digital access and skill. Improving digital knowledge, skill-building, and geographic access may encourage research participation especially in geographically remote or disadvantaged areas and help narrow sociodemographic and racial disparities existing in dementia research., Competing Interests: Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objective: Self- and informant-ratings of functional abilities are used to diagnose mild cognitive impairment (MCI) and are commonly measured in clinical trials. Ratings are assumed to be accurate, yet they are subject to biases. Biases in self-ratings have been found in individuals with dementia who are older and more depressed and in caregivers with higher distress, burden, and education. This study aimed to extend prior findings using an objective approach to identify determinants of bias in ratings., Method: Participants were 118 individuals with MCI and their informants. Three discrepancy variables were generated including the discrepancies between (1) self- and informant-rated functional status, (2) informant-rated functional status and objective cognition (in those with MCI), and (3) self-rated functional status and objective cognition. These variables served as dependent variables in forward linear regression models, with demographics, stress, burden, depression, and self-efficacy as predictors., Results: Informants with higher stress rated individuals with MCI as having worse functional abilities relative to objective cognition. Individuals with MCI with worse self-efficacy rated their functional abilities as being worse compared to objective cognition. Informant-ratings were worse than self-ratings for informants with higher stress and individuals with MCI with higher self-efficacy., Conclusion: This study highlights biases in subjective ratings of functional abilities in MCI. The risk for relative underreporting of functional abilities by individuals with higher stress levels aligns with previous research. Bias in individuals with MCI with higher self-efficacy may be due to anosognosia. Findings have implications for the use of subjective ratings for diagnostic purposes and as outcome measures.

Objective: Individuals with cognitive impairment (CI) exhibit different oculomotor functions and viewing behaviors. In this work we aimed to quantify the differences in these functions with CI severity, and assess general CI and specific cognitive functions related to visual exploration behaviors., Methods: A validated passive viewing memory test with eyetracking was administered to 348 healthy controls and CI individuals. Spatiotemporal properties of the scanpath, the semantic category of the viewed regions, and other composite features were extracted from the estimated eyegaze locations on the corresponding pictures displayed during the test. These features were then used to characterize viewing patterns, classify cognitive impairment, and estimate scores in various neuropsychological tests using machine learning., Results: Statistically significant differences in spatial, spatiotemporal, and semantic features were found between healthy controls and individuals with CI. The CI group spent more time gazing at the center of the image, looked at more regions of interest (ROI), transitioned less often between ROI yet in a more unpredictable manner, and exhibited different semantic preferences. A combination of these features achieved an area under the receiver-operator curve of 0.78 in differentiating CI individuals from controls. Statistically significant correlations were identified between actual and estimated CI scores and other neuropsychological tests., Conclusion: Evaluating visual exploration behaviors provided quantitative and systematic evidence of differences in CI individuals, leading to an improved approach for passive cognitive impairment screening., Significance: The proposed passive, accessible, and scalable approach could help with earlier detection and a better understanding of cognitive impairment.

The Oral Trail Making Test (O-TMT) was designed as a clinical analog of the written version (W-TMT). There is debate, however, about whether the measurement of processing speed and set shifting is equivalent between versions. Given the administration advantages of the O-TMT - especially for patients with motor impairments - we examined convergent validity with the W-TMT in patients with movement disorders. Fifty patients ( n  = 43 idiopathic Parkinson's disease [PD]) were evaluated in a movement disorders clinic. Patients averaged 71 years old (SD = 8.07 years), 16 years of education (SD = 2.30 years), and the majority were non-Hispanic White ( n  = 46) and male ( n  = 35). In addition to other neuropsychological measures, patients completed the O-TMT and the W-TMT, counterbalanced and separated by thirty-minutes. Part A scores on O-TMT and W-TMT were not significantly correlated. In contrast, Part B scores were strongly correlated, such that slower performances on O-TMT Part B corresponded with slower performances on W-TMT Part B. Discrepancy scores (Part B minus Part A completion times) were also strongly correlated, such that more time on O-TMT, indicative of slower set shifting speed, corresponded with more time on W-TMT. Better performances on both O-TMT B and W-TMT B were associated with better scores on measures of overall cognitive status, verbal learning, and both phonemic and semantic fluency. Part B of the O-TMT shows promise as an analog for Part B of the W-TMT when evaluating set shifting abilities in patients with movement disorders. Future research with diverse patient populations is recommended to establish generalizability.

Objective: Compared to individuals without cognitive impairment (CI), those with CI exhibit differences in both basic oculomotor functions and complex viewing behaviors. However, the characteristics of the differences and how those differences relate to various cognitive functions have not been widely explored. In this work we aimed to quantify those differences and assess general cognitive impairment and specific cognitive functions., Methods: A validated passive viewing memory test with eyetracking was administered to 348 healthy controls and CI individuals. Spatial, temporal, semantic, and other composite features were extracted from the estimated eye-gaze locations on the corresponding pictures displayed during the test. These features were then used to characterize viewing patterns, classify cognitive impairment, and estimate scores in various neuropsychological tests using machine learning., Results: Statistically significant differences in spatial, spatiotemporal, and semantic features were found between healthy controls and individuals with CI. CI group spent more time gazing at the center of the image, looked at more regions of interest (ROI), transitioned less often between ROI yet in a more unpredictable manner, and had different semantic preferences. A combination of these features achieved an area under the receiver-operator curve of 0.78 in differentiating CI individuals from controls. Statistically significant correlations were identified between actual and estimated MoCA scores and other neuropsychological tests., Conclusion: Evaluating visual exploration behaviors provided quantitative and systematic evidence of differences in CI individuals, leading to an improved approach for passive cognitive impairment screening., Significance: The proposed passive, accessible, and scalable approach could help with earlier detection and a better understanding of cognitive impairment.

Objective: Advanced age poses an increased risk for cognitive impairment, and therefore, poor knowledge regarding the risks associated with COVID-19 may confer vulnerability. We administered a COVID-19 Knowledge Questionnaire to older persons to evaluate the association between knowledge regarding public health recommendations, and cognitive status as measured by the Montreal Cognitive Assessment (MoCA). Method: Ninety-nine participants completed a 22-item questionnaire about COVID-19 symptoms, risks, and protective strategies, and they also completed the MoCA. Associations between knowledge and cognitive status were examined via Spearman correlations. Results: The mean (SD) age of participants was 72.6 (7.6) years, and MoCA scores averaged 23.4 (4.5) points. Higher MoCA total scores were significantly ( p  < .001) correlated with a greater number of correct questionnaire responses. Higher Orientation and Memory Index scores were moderately associated with an increased number of correct responses ( p  < .001), with the Executive Index exhibiting a significant albeit weaker association. MoCA Index scores assessing attention, language, and visuospatial functioning were not significantly associated with COVID-19 knowledge. Conclusions: Given the rapid transmission rate of the SARS CoV-2 infections, COVID knowledge lapses will likely have deleterious repercussions. Public health messages should ensure effective acquisition and retention of COVID specific information, especially in cognitively compromised older adults., Competing Interests: Declaration of Conflicting Interests: The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2022.)