Publications by authors named "Amariglio R"

Background: The multi-day Boston Remote Assessment of Neurocognitive Health (BRANCH) is a remote, web-based assessment designed to capture the earliest cognitive changes in the preclinical stage of Alzheimer's disease (AD). It has been validated in unimpaired older adults, but as individuals progress on the AD continuum, assessments need to remain feasible and valid at different clinical stages. The focus of this study was to assess feasibility and validity of multi-day BRANCH in participants with and without cognitive impairment.

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Remote, digital cognitive testing on an individual's own device provides the opportunity to deploy previously understudied but promising cognitive paradigms in preclinical Alzheimer's disease (AD). The Boston Remote Assessment for NeuroCognitive Health (BRANCH) captures a personalized learning curve for the same information presented over seven consecutive days. Here, we examined BRANCH multi-day learning curves (MDLCs) in 167 cognitively unimpaired older adults (age = 74.

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Introduction: Obstructive sleep apnea (OSA) is associated with subjective cognitive decline (SCD) and increased risk of cognitive decline and dementia. These relations are understudied in ethnoracially diverse groups. We examined associations among self-reported OSA risk, SCD, and cognitive performance in community-dwelling older Latinos.

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Article Synopsis
  • The study investigates the relationship between changes in β-amyloid (Aβ) levels and cognitive decline over time, highlighting that Aβ accumulation is linked to subsequent cognitive deterioration in older adults.
  • Researchers utilized sophisticated statistical models on data from a long-term study of 352 cognitively normal older participants, revealing that short-term changes in Aβ are more impactful on cognition than traditional measurements of Aβ burden and tau levels.
  • Contrary to previous findings, the study found no significant link between tau levels in the medial temporal lobe and cognitive performance, suggesting that understanding cognitive decline requires looking at dynamic changes rather than static measures.
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  • Cognitive resilience is when people don't show mental decline even if they have signs of Alzheimer's in their brains.
  • Measuring cognitive resilience is tricky because it can't be seen directly, and one common method used might give wrong results.
  • The new method we suggest uses machine learning to improve how we measure cognitive resilience, making it more accurate and relying less on guesses about the data.
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Importance: Depressive symptoms in older adults may be a harbinger of Alzheimer disease (AD), even in preclinical stages. It is unclear whether worsening depressive symptoms are manifestations of regional distributions of core AD pathology (amyloid) and whether cognitive changes affect this relationship.

Objective: To evaluate whether increasing depressive symptoms are associated with amyloid accumulation in brain regions important for emotional regulation and whether those associations vary by cognitive performance.

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Background: Declining ability to independently perform instrumental activities of daily living (IADL) is a hallmark of early-stage Alzheimer's disease (AD). Financial capacity, an aspect of IADL, includes financial skills such as balancing a checkbook and making change and is potentially sensitive to early decline in cognitive abilities, raising the question of how financial capacity is affected by buildup of cerebral tau and amyloid-hallmarks of AD pathology.

Objectives: This study aimed to examine the relationship between cerebral tau, amyloid, and their interaction with change in financial capacity over time.

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Background: Stronger resting-state functional connectivity of the default mode and frontoparietal control networks has been associated with cognitive resilience to Alzheimer's disease related pathology and neurodegeneration in smaller cohort studies.

Objectives: We investigated whether these networks are associated with longitudinal CR to AD biomarkers of beta-amyloid (Aβ).

Design: Longitudinal mixed.

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Background: The Anti-Amyloid in Asymptomatic Alzheimer's Disease (A4) Study failed to show a treatment benefit with solanezumab, but the longitudinal consequences of elevated amyloid were observed in study participants with objective decline on the Preclinical Alzheimer Cognitive Composite (PACC) and subjective decline on the combined Cognitive Function Index (participant + study partner CFI), during the trial period.

Objectives: We sought to expand on previous findings by comparing longitudinal patterns of participant and study partner CFI separately and their associations with the PACC stratified by baseline amyloid tertile over the course of the A4 Study.

Design: Cognitively unimpaired older adult participants and their study partners were independently administered the CFI at screen prior to amyloid PET disclosure and then at 3 subsequent visits (week 48, week 168, week 240) of the study.

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  • This study investigates cognitive resilience (CR) to Alzheimer's disease (AD) in cognitively healthy older adults by analyzing imaging biomarkers and cognitive data over time using latent class mixture modeling.
  • The research involved 200 participants from the Harvard Aging Brain Study, who were categorized into three subgroups based on their cognitive trajectories: Normal, Resilient, and Declining, with the Resilient group showing higher cognitive performance and stability.
  • The findings suggest that leveraging imaging and cognitive assessments can effectively identify different levels of CR in preclinical AD stages, which could have implications for future research and interventions.
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  • The study examines how changes in everyday functioning, particularly through a phone task, relate to tau and amyloid levels in cognitively healthy older adults.
  • Seventy-six participants were assessed over approximately two years, using tasks that simulated real-life activities like refilling prescriptions and selecting doctors.
  • The results found that higher levels of baseline amyloid and tau were linked to a faster decline in performance on one specific task (APT-PCP), suggesting early indicators of cognitive decline can be detected through these assessments.
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Importance: Studies have suggested that maternal history of late-onset Alzheimer disease, but not paternal, predisposes individuals to higher brain β-amyloid (Aβ) burden, reduced brain metabolism, and lower gray matter volumes.

Objective: To characterize maternal vs paternal history of memory impairment in terms of brain Aβ-positron emission tomography (Aβ-PET) and baseline cognition among a large sample of cognitively unimpaired older adults.

Design, Setting, And Participants: This cross-sectional study leveraged data from 4413 individuals who were screened for the Anti-Amyloid Treatment in Asymptomatic Alzheimer (A4) study, a randomized clinical trial conducted across 67 sites in the US, Australia, Canada, and Japan aimed at Alzheimer disease prevention.

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Article Synopsis
  • This study investigates the relationship between self-reported cognitive decline and tau deposition in individuals with preclinical Alzheimer disease (AD), building on prior findings about β-amyloid (Aβ) status.
  • The research involved 675 cognitively unimpaired participants who completed assessments to examine the connections between tau levels and cognitive function, while accounting for factors like age and education.
  • Results indicated that higher tau levels in both the medial temporal lobe and neocortex were linked to increased cognitive function scores reported by both participants and their study partners, particularly in those with elevated Aβ levels.
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In addition to amyloid and tau pathology, elevated systemic vascular risk, white matter injury, and reduced cerebral blood flow contribute to late-life cognitive decline. Given the strong collinearity among these parameters, we proposed a framework to extract the independent latent features underlying cognitive decline using the Harvard Aging Brain Study (N = 166 cognitively unimpaired older adults at baseline). We used the following measures from the baseline visit: cortical amyloid, inferior temporal cortex tau, relative cerebral blood flow, white matter hyperintensities, peak width of skeletonized mean diffusivity, and Framingham Heart Study cardiovascular disease risk.

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Objectives: We examined relationships between apathy (self and study-partner-reported) and markers of Alzheimer's disease (AD) in older adults.

Design: The study utilized a well-characterized sample of participants from the Harvard Aging Brain Study (HABS), a longitudinal cohort study. Participants were cognitively unimpaired without clinically significant neuropsychiatric symptoms at HABS baseline.

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Background: Disparities in Alzheimer's disease (AD) are well-documented among different racial/ethnic groups and between sex/genders. Neuropsychological assessment provides important information about cognitive changes and can offer valuable insights into disparities. However, neuropsychological measures must be comparable across racial/ethnic and sex/gender groups to accurately interpret disparities.

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Introduction: To investigate the utility of a new digital tool for measuring everyday functioning in preclinical Alzheimer's disease, we piloted the Assessment of Smartphone Everyday Tasks (ASSET) application.

Methods: Forty-six participants (50.3 ± 27.

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Objective: This study was undertaken to determine whether assessing learning over days reveals Alzheimer disease (AD) biomarker-related declines in memory consolidation that are otherwise undetectable with single time point assessments.

Methods: Thirty-six (21.9%) cognitively unimpaired older adults (aged 60-91 years) were classified with elevated β-amyloid (Aβ+) and 128 (78%) were Aβ- using positron emission tomography with Pittsburgh compound B.

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Objective: Unsupervised remote digital cognitive assessment makes frequent testing feasible and allows for measurement of learning over repeated evaluations on participants' own devices. This provides the opportunity to derive individual multiday learning curve scores over short intervals. Here, we report feasibility, reliability, and validity, of a 7-day cognitive battery from the Boston Remote Assessment for Neurocognitive Health (Multiday BRANCH), an unsupervised web-based assessment.

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Objective: To investigate whether intraindividual variability (IIV) in reaction time (RT) over monthly administered cognitive tasks is increased in cognitively unimpaired older adults who are at risk for cognitive decline, and whether this is independent of mean RT performance.

Method: = 109 cognitively unimpaired individuals (age 77.4 ± 5.

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Article Synopsis
  • The study investigated the relationship between hippocampal volume (HV) atrophy, β-amyloid (Aβ), tau, and cognitive decline in older adults without dementia.
  • Faster HV atrophy was found to correlate with quicker cognitive decline, accounting for 10% of the variance in cognitive impairment beyond Aβ and tau measures.
  • Overall, combining data from various imaging biomarkers explained 45% of the variance in cognitive decline over a 10-year period.
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Subjective cognitive decline (SCD) is defined as self-experienced, persistent concerns of decline in cognitive capacity in the context of normal performance on objective cognitive measures. Although SCD was initially thought to represent the "worried well," these concerns can be linked to subtle brain changes prior to changes in objective cognitive performance and, therefore, in some individuals, SCD may represent the early stages of an underlying neurodegenerative disease process (e.g.

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Background: Emerging difficulty performing cognitively complex everyday tasks, or 'instrumental activities of daily living' (IADL) may be an early clinical sign of Alzheimer's disease (AD). We aimed to investigate how changes over time in everyday functioning relate to cerebral tau burden across the AD clinical spectrum.

Methods: We included 581 participants (73.

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Introduction: Subjective cognitive decline (SCD) has been associated with elevated amyloid levels and increased risk of future cognitive decline, as well as modifiable variables, including depression, anxiety, and physical inactivity. Participants generally endorse greater and earlier concerns than their close family and friends (study partners [SPs]), which may reflect subtle changes at the earliest stages of disease among participants with underlying neurodegenerative processes. However, many individuals with subjective concerns are not at risk of Alzheimer's disease (AD) pathology, suggesting that additional factors, such as lifestyle habits, may be contributory.

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Article Synopsis
  • The study addresses the challenges of comparing self-perceived cognitive functioning across various aging studies by linking item-level data from international research.
  • The researchers harmonized data from 24 different studies and found that certain items related to memory and executive functions provided the best measurement precision.
  • This work allows for better comparison and analysis of cognitive functioning in older adults globally, potentially paving the way for improved self-report questionnaires based on the identified key items.
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