Psychometric and adherence considerations for high-frequency, smartphone-based cognitive screening protocols in older adults.

OBJECTIVE: The psychometric rigor of unsupervised, smartphone-based assessments and factors that impact remote protocol engagement is critical to evaluate prior to the use of such methods in clinical contexts. We evaluated the validity of a high-frequency, smartphone-based cognitive assessment protocol, including examining convergence and divergence with standard cognitive tests, and investigating factors that may impact adherence and performance (i.e., time of day and anticipated receipt of feedback vs. no feedback). METHODS: Cognitively unimpaired participants (N = 120, Mage = 68.8, 68.3% female, 87% White, Meducation = 16.5 years) completed 8 consecutive days of the Mobile Monitoring of Cognitive Change (M2C2), a mobile app-based testing platform, with brief morning, afternoon, and evening sessions. Tasks included measures of working memory, processing speed, and episodic memory. Traditional neuropsychological assessments included measures from the Preclinical Alzheimer's Cognitive Composite battery. RESULTS: Findings showed overall high compliance (89.3%) across M2C2 sessions. Average compliance by time of day ranged from 90.2% for morning sessions, to 77.9% for afternoon sessions, and 84.4% for evening sessions. There was evidence of faster reaction time and among participants who expected to receive performance feedback. We observed excellent convergent and divergent validity in our comparison of M2C2 tasks and traditional neuropsychological assessments. CONCLUSIONS: This study supports the validity and reliability of self-administered, high-frequency cognitive assessment via smartphones in older adults. Insights into factors affecting adherence, performance, and protocol implementation are discussed.

APOE Genotype Disclosure Influences Decisions About Future Planning but not Adoption of Healthy Lifestyle Changes in Cognitively Unimpaired Individuals.

BACKGROUND: Studies have shown apolipoprotein E (APOE) genotype disclosure to be safe and well-tolerated in cognitively unimpaired (CU) older adults. This study aimed to examine the effect of the disclosure process on decisions about future directives and health behaviors in community-dwelling CU older adults from the Butler Alzheimer's Prevention Registry (BAPR). METHODS: CU APOE E4 non-carriers (n = 106) and carriers (n = 80) aged 58-78 completed in-person psychological readiness screening to undergo APOE disclosure. Follow-up assessments were completed online 3 days, 6 weeks, and 6 months post-disclosure. The primary outcomes were future directives, dietary habits, and physical activity scores. RESULTS: Disclosure was associated with decision making on future directives in E4 carriers (t = 3.59, P = .01) at 6 months compared to baseline, but not non-carriers. Family history of memory impairment, SCD endorsement, and education consistently predicted scores on future directives. A significant interaction between E4+ and SCD endorsement on future directive scores was noted (OR = 163.06, 9.5-2,799.8). E4 + carrier status was associated with physical activity (W = 60,148, P = .005) but not dietary habits scores. CONCLUSIONS: Our findings indicate that disclosure led to a change in future directives but not protective health behaviors, specifically in E4 carriers. Future work will explore whether pairing disclosure with education about the role of lifestyle factors in AD risk and providing guidelines on making risk-lowering lifestyle modifications as an intervention approach leads to positive change.

Digital phenotyping: An equal opportunity approach to reducing disparities in Alzheimer's disease and related dementia research.

A rapidly aging world population is fueling a concomitant increase in Alzheimer's disease (AD) and related dementias (ADRD). Scientific inquiry, however, has largely focused on White populations in Australia, the European Union, and North America. As such, there is an incomplete understanding of AD in other populations. In this perspective, we describe research efforts and challenges of cohort studies from three regions of the world: Central America, East Africa, and East Asia. These cohorts are engaging with the Davos Alzheimer's Collaborative (DAC), a global partnership that brings together cohorts from around the world to advance understanding of AD. Each cohort is poised to leverage the widespread use of mobile devices to integrate digital phenotyping into current methodologies and mitigate the lack of representativeness in AD research of racial and ethnic minorities across the globe. In addition to methods that these three cohorts are already using, DAC has developed a digital phenotyping protocol that can collect ADRD-related data remotely via smartphone and/or in clinic via a tablet to generate a common data elements digital dataset that can be harmonized with additional clinical and molecular data being collected at each cohort site and when combined across cohorts and made accessible can provide a global data resource that is more racially/ethnically represented of the world population.

Remote and in-clinic digital cognitive screening tools outperform the MoCA to distinguish cerebral amyloid status among cognitively healthy older adults.

INTRODUCTION: We evaluated the accuracy of remote and in-person digital tests to distinguish between older adults with and without AD pathological change and used the Montreal Cognitive Assessment (MoCA) as a comparison test. METHODS: Participants were 69 cognitively normal older adults with known beta-amyloid (Aß) PET status. Participants completed smartphone-based assessments 3×/day for 8 days, followed by TabCAT tasks, DCTclock™, and MoCA at an in-person study visit. We calculated the area under the curve (AUC) to compare task accuracies to distinguish Aß status. RESULTS: Average performance on the episodic memory (Prices) smartphone task showed the highest accuracy (AUC = 0.77) to distinguish Aß status. On in-person measures, accuracy to distinguish Aß status was greatest for the TabCAT Favorites task (AUC = 0.76), relative to the DCTclockTM (AUC = 0.73) and MoCA (AUC = 0.74). DISCUSSION: Although further validation is needed, our results suggest that several digital assessments may be suitable for more widespread cognitive screening application.

Dissociating Statistically Determined Normal Cognitive Abilities and Mild Cognitive Impairment Subtypes with DCTclock.

OBJECTIVE: To determine whether the DCTclock can detect differences across groups of patients seen in the memory clinic for suspected dementia. METHOD: Patients (n = 123) were classified into the following groups: cognitively normal (CN), subtle cognitive impairment (SbCI), amnestic cognitive impairment (aMCI), and mixed/dysexecutive cognitive impairment (mx/dysMCI). Nine outcome variables included a combined command/copy total score and four command and four copy indices measuring drawing efficiency, simple/complex motor operations, information processing speed, and spatial reasoning. RESULTS: Total combined command/copy score distinguished between groups in all comparisons with medium to large effects. The mx/dysMCI group had the lowest total combined command/copy scores out of all groups. The mx/dysMCI group scored lower than the CN group on all command indices (p < .050, all analyses); and lower than the SbCI group on drawing efficiency (p = .011). The aMCI group scored lower than the CN group on spatial reasoning (p = .019). Smaller effect sizes were obtained for the four copy indices. CONCLUSIONS: These results suggest that DCTclock command/copy parameters can dissociate CN, SbCI, and MCI subtypes. The larger effect sizes for command clock indices suggest these metrics are sensitive in detecting early cognitive decline. Additional research with a larger sample is warranted.

Related amyloid burden and cortical atrophy in individuals with subtle cognitive decline.

BACKGROUND AND PURPOSE: Subtle cognitive decline represents a stage of cognitive deterioration in which pathological biomarkers may be present, including early cortical atrophy and amyloid deposition. Using individual items from the Montreal Cognitive Assessment and k-modes cluster analysis, we previously identified three clusters of individuals without overt cognitive impairment: (1) High Performing (no deficits in performance), (2) Memory Deficits (lower memory performance), and (3) Compound Deficits (lower memory and executive function performance). In this study, we sought to understand the relationships found in our clusters between cortical atrophy on MR and amyloid burden on PET. METHODS: Data were derived from the Alzheimer's Disease Neuroimaging Initiative and comprised individuals from our previous analyses with available MR and amyloid PET scans (n = 272). Using multiple-group structural equation modeling, we regressed amyloid standardized uptake value ratio on volumetric regions to simultaneously evaluate unique associations within each cluster. RESULTS: In our Compound Deficits cluster, greater whole cerebral amyloid burden was significantly related to right entorhinal cortical and left hippocampal atrophy, rs  = -.412 (p = .005) and -.304 (p = .049), respectively. Within this cluster, right entorhinal cortical atrophy was significantly related to greater amyloid burden within multiple frontal regions. CONCLUSIONS: The Compound Deficits cluster, which represents a group potentially at higher risk for decline, was observed to have significantly more cortical atrophy, particularly within the entorhinal cortex and hippocampus, associated with whole brain and frontal lobe amyloid burden. These findings point to a pattern of early pathological deterioration that may place these individuals at risk for future decline.

A case of Tn polyagglutination discovered by an ABO blood group discrepancy.

BACKGROUND: Tn syndrome is an acquired form of polyagglutination arising from somatic mutations of hematopoietic stem cells. Tn red blood cells (RBCs) are agglutinable by naturally occurring anti-Tn antibodies in most adult sera. Current ABO typing reagents are monoclonal and do not detect polyagglutination on forward typing. However, herein we describe a case of Tn activation that was suspected due to cross-reactivity with a monoclonal anti-A reagent. STUDY DESIGN AND METHODS: A 63-year-old man with myeloproliferative neoplasm, who historically typed as group O, demonstrated unexpected mixed field reactivity with anti-A reagent using a gel-based method. However, manual tube testing was consistent with the patient's historical group O type. RESULTS: Lectin testing demonstrated reactivity with Salvia sclarea and Glycine soja, but not Arachis hypogea. The patient's RBCs produced positive crossmatches with healthy donor sera, but reactivity was eliminated by ficin pretreatment of the RBCs. Ficin treatment also resolved typing discrepancies on gel-based typing. No reactivity was noted using cord blood sera, and N antigen expression was diminished upon phenotyping. Tn activation was confirmed by detection of a novel 4-nucleotide deletion (c.395-398del) in exon 3 of C1GALT1C1 resulting in a truncated glycosyltransferase. CONCLUSION: This case of acquired Tn polyagglutination due to a novel mutation was first suspected from an ABO phenotyping discrepancy. It highlights the cross-reactivity of anti-A reagent with Tn antigen when tested on a common gel-based method. Furthermore, the case demonstrates that review of patient history and test information can clarify discrepancies and guide resolution.

Using the Montreal cognitive assessment to identify individuals with subtle cognitive decline.

OBJECTIVE: Dementia is a devastating neurological disease that may be better managed if diagnosed earlier when subclinical neurodegenerative changes are already present, including subtle cognitive decline and mild cognitive impairment. In this study, we used item-level performance on the Montreal Cognitive Assessment (MoCA) to identify individuals with subtle cognitive decline. METHOD: Individual MoCA item data from the Alzheimer's Disease Neuroimaging Initiative was grouped using k-modes cluster analysis. These clusters were validated and examined for association with convergent neuropsychological tests. The clusters were then compared and characterized using multinomial logistic regression. RESULTS: A three-cluster solution had 77.3% precision, with Cluster 1 (high performing) displaying no deficits in performance, Cluster 2 (memory deficits) displaying lower memory performance, and Cluster 3 (compound deficits) displaying lower performance on memory and executive function. Age at MoCA (older in compound deficits), gender (more females in memory deficits), and marital status (fewer married in compound deficits) were significantly different among clusters. Age was not associated with increased odds of membership in the high-performing cluster compared to the others. CONCLUSIONS: We identified three clusters of individuals classified as cognitively unimpaired using cluster analysis. Individuals in the compound deficits cluster performed lower on the MoCA and were older and less often married than individuals in other clusters. Demographic analyses suggest that cluster identity was due to a combination of both cognitive and clinical factors. Identifying individuals at risk for future cognitive decline using the MoCA could help them receive earlier evidence-based interventions to slow further cognitive decline. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A highly feasible, reliable, and fully remote protocol for mobile app-based cognitive assessment in cognitively healthy older adults.

Introduction: The early detection of cognitive impairment is one of the most important challenges in Alzheimer's disease (AD) research. The use of brief, short-term repeated test sessions via mobile app has demonstrated similar or better reliability and validity compared to standard in-clinic assessments in adult samples. The present study examined adherence, acceptability, and reliability for a remote, app-based cognitive screening protocol in healthy older adults. Methods: Cognitively unimpaired older adults (N = 52, ages 60-80) completed three brief cognitive testing sessions per day within morning, afternoon, and evening time windows, for 8 consecutive days using a mobile app-based cognitive testing platform. Cognitive tasks assessed visual working memory, processing speed, and episodic memory. Results: Participants completed an average of 93% (M = 22.3 sessions, standard deviation = 10.2) of the 24 assigned sessions within 8 to 9 days. Average daily adherence ranged from 95% of sessions completed on day 2 to 88% of sessions completed on day 8. There was a statistically significant effect of session time on adherence between the morning and afternoon sessions only F (1, 51) = 9.15, P  = .004, η p  2   = 0.152, with fewer afternoon sessions completed on average. The within-person reliabilities of average scores, aggregated across all 24 sessions, were exceptionally high, ranging from 0.89 to 0.97. Performance on the episodic memory task was positively and significantly associated with total score and word list recall score on the Telephone Interview for Cognitive Status. In an exit survey, 65% of participants reported that they "definitely" would complete the sessions again. Discussion: These findings suggests that remote, mobile app-based cognitive testing in short bursts is both highly feasible and reliable in a motivated sample of cognitively normal older adults. Limitations include the limited diversity and generalizability of the sample; this was a largely White, highly educated, and motivated sample self-selected for AD research.

A Neuropsychological Perspective on Defining Cognitive Impairment in the Clinical Study of Alzheimer's Disease: Towards a More Continuous Approach.

The global fight against Alzheimer's disease (AD) poses unique challenges for the field of neuropsychology. Along with the increased focus on early detection of AD pathophysiology, characterizing the earliest clinical stage of the disease has become a priority. We believe this is an important time for neuropsychology to consider how our approach to the characterization of cognitive impairment can be improved to detect subtle cognitive changes during early-stage AD. The present article aims to provide a critical examination of how we define and measure cognitive status in the context of aging and AD. First, we discuss pitfalls of current methods for defining cognitive impairment within the context of research shifting to earlier (pre)symptomatic disease stages. Next, we introduce a shift towards a more continuous approach for identifying early markers of cognitive decline and characterizing progression and discuss how this may be facilitated by novel assessment approaches. Finally, we summarize potential implications and challenges of characterizing cognitive status using a continuous approach.

Characteristics of subjective cognitive decline associated with amyloid positivity.

INTRODUCTION: The evidence for characteristics of persons with subjective cognitive decline (SCD) associated with amyloid positivity is limited. METHODS: In 1640 persons with SCD from 20 Amyloid Biomarker Study cohort, we investigated the associations of SCD-specific characteristics (informant confirmation, domain-specific complaints, concerns, feelings of worse performance) demographics, setting, apolipoprotein E gene (APOE) ε4 carriership, and neuropsychiatric symptoms with amyloid positivity. RESULTS: Between cohorts, amyloid positivity in 70-year-olds varied from 10% to 76%. Only older age, clinical setting, and APOE ε4 carriership showed univariate associations with increased amyloid positivity. After adjusting for these, lower education was also associated with increased amyloid positivity. Only within a research setting, informant-confirmed complaints, memory complaints, attention/concentration complaints, and no depressive symptoms were associated with increased amyloid positivity. Feelings of worse performance were associated with less amyloid positivity at younger ages and more at older ages. DISCUSSION: Next to age, setting, and APOE ε4 carriership, SCD-specific characteristics may facilitate the identification of amyloid-positive individuals.

Safety and Tolerability of APOE Genotyping and Disclosure in Cognitively Normal Volunteers From the Butler Alzheimer's Prevention Registry.

AIMS: Alzheimer's disease (AD) is a gradually progressive neurodegenerative disease that ultimately results in total loss of cognitive and functional independence in older adults. This study aimed to examine the safety and tolerability of APOE disclosure in community-dwelling, cognitively normal (CN) older adults from the Butler Alzheimer's Prevention Registry (BAPR), and to determine whether APOE disclosure impacted participant's decisions to participate in AD clinical research. METHODS: 186 (N = 106 ∊4 non-carriers, 80 ∊4 carriers) CN older adults aged 58-78 from the BAPR completed 2 visits: one for psychological readiness screening and genotyping and one for APOE disclosure. Online follow-ups were completed 3 days, 6 weeks, and 6 months post-disclosure. Primary outcomes were scores on self-report measures of depression, anxiety, impact of events, and perceived risk of AD, along with enrollment in AD clinical trials. RESULTS: ∊4 carriers and non-carriers did not differ significantly on measures of depression, anxiety, or suicidal ideation over the 6-month follow-up period. ∊4 carriers reported higher impact of disclosure than non-carriers immediately after disclosure, but both groups' scores on impact of events measures remained sub-clinical. ∊4 carriers and non-carriers were equally likely to participate in AD research after disclosure, with genotype-dependent differences in type of clinical trial enrollment. CONCLUSIONS: APOE genotyping and disclosure was safe and well tolerated in a group of CN, community-dwelling older adults, who were pre-screened after volunteering for AD research through BAPR. Implications for the inclusion of APOE genotyping and disclosure at AD clinical trial sites are discussed.

OCTA reveals remodeling of the peripheral capillary free zones in normal aging.

The retinal neurovascular unit consists of blood vessel endothelial cells, pericytes, neurons, astrocytes, and Müller cells that form the inner retinal blood barrier. A peripheral capillary free zone (pCFZ) represents the distance that oxygen and nutrients must diffuse to reach the neural retina, and serves as a metric of retinal tissue oxygenation. The pCFZs are formed based on oxygen saturation in the retinal arterioles and venules. Because retinal arterioles contain a larger concentration of oxygenated blood than venules, there is a reduced need for capillaries to exist closely to arterioles compared to venules. Therefore, in a healthy individual, larger periarteriole CFZs are expected compared to perivenule CFZs. With normal aging, there is atrophy of the inner retinal neurons, and consequently reduced extraction of oxygen and nutrients from the retinal vessels (i.e., increased oxygen saturation). Therefore, we hypothesized that the peripheral CFZ will remodel with normal aging. Using Optical Coherence Tomography Angiography, we showed that the pCFZs do remodel in normal aging with large (perivenule: η2p = 0.56) and moderate (periarteriole: η2p = 0.12) effect sizes, opening the possibility that such changes may be further increased by neurodegenerative diseases that adversely impact the health of the retinal neural cell layers.

Depression screening in cognitively normal older adults: Measurement bias according to subjective memory decline, brain amyloid burden, cognitive function, and sex.

INTRODUCTION: Understanding the associations among depression, subjective cognitive decline, and prodromal Alzheimer's disease (AD) has important implications for both depression and dementia screening in older adults. The Geriatric Depression Scale (GDS) is a depression screening tool for older adults that queries memory concerns. To determine whether depression symptoms on the GDS (15-item version), including self-reported memory problems, differ by levels of brain amyloid beta (Aß), a pathological hallmark of early stage AD, we investigated potential measurement bias with regard to Aß level. We also examined measurement bias attributable to level of cognitive functioning and sex as positive controls. METHODS: We examined 3961 cognitively normal older adults from the A4/LEARN Study. We used the MIMIC (multiple indicators, multiple causes) approach to detect measurement bias. RESULTS: We found measurement bias with small-to-moderate range effect sizes in several GDS-15 items with respect to Aß level, cognitive functioning, and sex. There was negligible impact of measurement bias attributable to Aß level on overall depressive symptom level. DISCUSSION: GDS-15 item responses are sensitive to Aß burden, cognitive functioning, and sex over and above what would be expected given the effect of those factors on depressive symptom severity overall. However, these direct effects for GDS item measurement bias are of small magnitude and do not appreciably impact the validity of inferences about depression based on the GDS-15.

Disruption of cholinergic neurotransmission, within a cognitive challenge paradigm, is indicative of Aß-related cognitive impairment in preclinical Alzheimer's disease after a 27-month delay interval.

BACKGROUND: Abnormal beta-amyloid (Aß) is associated with deleterious changes in central cholinergic tone in the very early stages of Alzheimer's disease (AD), which may be unmasked by a cholinergic antagonist (J Prev Alzheimers Dis 1:1-4, 2017). Previously, we established the scopolamine challenge test (SCT) as a "cognitive stress test" screening measure to identify individuals at risk for AD (Alzheimer's & Dementia 10(2):262-7, 2014) (Neurobiol. Aging 36(10):2709-15, 2015). Here we aim to demonstrate the potential of the SCT as an indicator of cognitive change and neocortical amyloid aggregation after a 27-month follow-up interval. METHODS: Older adults (N = 63, aged 55-75 years) with self-reported memory difficulties and first-degree family history of AD completed the SCT and PET amyloid imaging at baseline and were then seen for cognitive testing at 9, 18, and 27 months post-baseline. Repeat PET amyloid imaging was completed at the time of the 27-month exam. RESULTS: Significant differences in both cognitive performance and in Aß neocortical burden were observed between participants who either failed vs. passed the SCT at baseline, after a 27-month follow-up period. CONCLUSIONS: Cognitive response to the SCT (Alzheimer's & Dementia 10(2):262-7, 2014) at baseline is related to cognitive change and PET amyloid imaging results, over the course of 27 months, in preclinical AD. The SCT may be a clinically useful screening tool to identify individuals who are more likely to both have positive evidence of amyloidosis on PET imaging and to show measurable cognitive decline over several years.

Developing retinal biomarkers for the earliest stages of Alzheimer's disease: What we know, what we don't, and how to move forward.

The last decade has seen a substantial increase in research focused on the identification, development, and validation of diagnostic and prognostic retinal biomarkers for Alzheimer's disease (AD). Sensitive retinal biomarkers may be advantageous because they are cost and time efficient, non-invasive, and present a minimal degree of patient risk and a high degree of accessibility. Much of the work in this area thus far has focused on distinguishing between symptomatic AD and/or mild cognitive impairment (MCI) and cognitively normal older adults. Minimal work has been done on the detection of preclinical AD, the earliest stage of AD pathogenesis characterized by the accumulation of cerebral amyloid absent clinical symptoms of MCI or dementia. The following review examines retinal structural changes, proteinopathies, and vascular alterations that have been proposed as potential AD biomarkers, with a focus on studies examining the earliest stages of disease pathogenesis. In addition, we present recommendations for future research to move beyond the discovery phase and toward validation of AD risk biomarkers that could potentially be used as a first step in a multistep screening process for AD risk detection.

A Potential Association Between Retinal Changes, Subjective Memory Impairment, and Anxiety in Older Adults at Risk for Alzheimer's Disease: A 27-Month Pilot Study.

INTRODUCTION: The utility of subjective memory impairment (SMI) as a risk marker for preclinical Alzheimer's disease (AD) remains unclear; however, recent studies have identified a correlation between retinal biomarkers and onset of preclinical disease. This study examines the relationship between retinal biomarkers that have been associated with cerebral amyloid, an early hallmark of AD, and SMI scores in patients at risk for developing AD. METHODS: Forty-nine cognitively normal subjects were followed over 27 months and evaluated using a combination of neuropsychological, psychological, and retinal imaging instruments. Subjective memory testing was conducted using the memory assessment clinic questionnaire (MACQ) and Depression, Anxiety, and Stress Scales (DASS). Multivariate linear analysis was conducted using STATA software. RESULTS: Positive correlations were found between retinal nerve fiber layer (RNFL) volume and scores obtained from the MAC-Q at 27 months (MAC-Q_27), the DASS questionnaire for anxiety at 27 months (DASS-A_27), and the change in DASS-A over 27 months (dDASSA). There was also a significant positive correlation between these variables and the change in RNFL thickness over 27 months (dRNFL). MACQ_27, DASSA_27, and dDASS-A accounted for 35.7% of RFNL variance at 27 months and 21.5% of dRFNL variance. DISCUSSION: These findings suggest that worse subjective memory complaints and anxiety scores may be associated with one of the most commonly used structural anatomical retinal markers of early disease burden in AD. If so, these results lend support to SMI as a valid risk marker for later cognitive decline.