Publications by authors named "Michael Properzi"

Introduction: In observational studies of preclinical AD, an arbitrary "baseline" can obscure where an individual is located along a theoretical continuum. Optimizing longitudinal trajectories can distill multiple, non-linearly distributed observations into a single metric and inform where an individual may be along the disease course.

Methods: We developed a cognitive time (c-time) metric based on longitudinal cognitive data (mean = 7.

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Introduction: Remote, smartphone-based cognitive assessments such as the Mobile Toolbox (MTB) may increase the accessibility of Alzheimer's disease (AD) clinical trials. We examined the feasibility of the MTB among cognitively unimpaired (CU) older adults and investigated its associations with standardized in-clinic cognitive testing and amyloid and tau positron emission tomography imaging.

Methods: A total of 100 CU older adults self-administered the MTB remotely on their personal devices.

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Background And Objectives: To examine the association between genetic predisposition to accelerated brain aging-measured with polygenic risk scores (PRS) derived from BrainAge models-and plasma biomarkers of Alzheimer's disease (AD), with attention to age and sex-specific effects.

Methods: We analyzed 1994 cognitively unimpaired participants from the A4/LEARN studies (71.5±4.

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BrainAge delta, the difference between a person's predicted brain age and their chronological age, is a promising marker of the accumulation of neurodegeneration that may increase vulnerability to Alzheimer's disease (AD). We examined whether BrainAge delta moderates the relationship between AD biomarkers and longitudinal cognitive decline performing a meta-analysis across three cohorts (2,279 cognitively unimpaired [CU]; 416 with mild cognitive impairment [MCI]). Higher BrainAge delta was linked to faster decline in CU (β = -0.

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Background: Plasma phosphorylated tau181 (pTau181) is proving to be a useful predictor of Alzheimer's disease (AD). AD co-pathology is frequently observed across the Lewy body disease (LBD) spectrum.

Objective: To determine whether pTau181 in LBD is associated with postmortem Alzheimer's disease neuropathologic changes (ADNC) and with antemortem positron emission spectrometry measurements of β-amyloid and tau deposition.

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Elucidating the downstream impact of exogenous hormones on the aging brain will have far-reaching consequences for understanding why Alzheimer's disease (AD) predominates in women almost twofold over men. We tested the extent to which menopausal hormone therapy (HT) use is associated with later-life amyloid-β (Aβ) and tau accumulation using PET on  = 146 baseline clinically normal women, aged 51 to 89 years. Women were scanned over a 4.

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Importance: Alzheimer disease (AD) predominates in females at almost twice the rate relative to males. Mounting evidence in adults without AD indicates that females exhibit higher tau deposition than age-matched males, particularly in the setting of elevated β-amyloid (Aβ), but the evidence for sex differences in tau accumulation rates is inconclusive.

Objective: To examine whether female sex is associated with faster tau accumulation in the setting of high Aβ (as measured with positron emission tomography [PET]) and the moderating influence of sex on the association between APOEε4 carrier status and tau accumulation.

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Cognitive resilience (CR) describes the phenomenon of individuals evading cognitive decline despite prominent Alzheimer's disease neuropathology. Operationalization and measurement of this latent construct is non-trivial as it cannot be directly observed. The residual approach has been widely applied to estimate CR, where the degree of resilience is estimated through a linear model's residuals.

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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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Article Synopsis
  • 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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Article Synopsis
  • 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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APOE4 is the strongest genetic risk factor for Alzheimer's disease (AD), with increased odds ratios in female carriers. Targeting amyloid plaques shows modest improvement in male non-APOE4 carriers. Leveraging single-cell transcriptomics across APOE variants in both sexes, multiplex flow cytometry and validation in two independent cohorts of APOE4 female carriers with AD, we identify a new subset of neutrophils interacting with microglia associated with cognitive impairment.

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Article Synopsis
  • 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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Background And Objectives: Alzheimer disease (AD) copathologies of β-amyloid and tau are common in the Lewy body diseases (LBD), dementia with Lewy bodies (DLB) and Parkinson disease (PD), and target distinct hippocampal subfields compared with Lewy pathology, including subiculum and CA1. We investigated the hypothesis that AD copathologies impact the pattern of hippocampal subregion volume loss and cognitive function in LBD.

Methods: This was a cross-sectional and longitudinal, single-center, observational cohort study.

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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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Introduction: It is important to study apathy in Alzheimer's disease (AD) to better understand its underlying neurobiology and develop effective interventions. In the current study, we sought to examine the relationships between longitudinal apathy and regional tau burden in cognitively impaired older adults from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database.

Methods: Three hundred and nineteen ADNI participants with mild cognitive impairment (MCI) or AD dementia underwent flortaucipir (FTP) tau positron emission tomography (PET) imaging and clinical assessment with the Neuropsychiatric Inventory (NPI) annually.

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Many of the Alzheimer's disease (AD) risk genes are specifically expressed in microglia and astrocytes, but how and when the genetic risk localizing to these cell types contributes to AD pathophysiology remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two extensively characterized datasets and uncover the impact of cell-type-specific genetic risk on AD endophenotypes. In an autopsy dataset spanning all stages of AD (n = 1457), the astrocytic ADPRS affected diffuse and neuritic plaques (amyloid-β), while microglial ADPRS affected neuritic plaques, microglial activation, neurofibrillary tangles (tau), and cognitive decline.

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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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Clinically normal females exhibit higher F-flortaucipir (FTP)-PET signal than males across the cortex. However, these sex differences may be explained by neuroimaging idiosyncrasies such as off-target extracerebral tracer retention or partial volume effects (PVEs). 343 clinically normal participants (female = 58%; mean[SD]=73.

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Introduction: Non-invasive diffusion-weighted imaging (DWI) to assess brain microstructural changes via cortical mean diffusivity (cMD) has been shown to be cross-sectionally associated with tau in cognitively normal older adults, suggesting that it might be an early marker of neuronal injury. Here, we investigated how regional cortical microstructural changes measured by cMD are related to the longitudinal accumulation of regional tau as well as to episodic memory decline in cognitively normal individuals harboring amyloid pathology.

Methods: 122 cognitively normal participants from the Harvard Aging Brain Study underwent DWI, T1w-MRI, amyloid and tau PET imaging, and Logical Memory Delayed Recall (LMDR) assessments.

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Alzheimer's disease (AD) heritability is enriched in glial genes, but how and when cell-type-specific genetic risk contributes to AD remains unclear. Here, we derive cell-type-specific AD polygenic risk scores (ADPRS) from two extensively characterized datasets. In an autopsy dataset spanning all stages of AD (n=1,457), astrocytic (Ast) ADPRS was associated with both diffuse and neuritic Aβ plaques, while microglial (Mic) ADPRS was associated with neuritic Aβ plaques, microglial activation, tau, and cognitive decline.

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Background: Detecting clinically meaningful changes in instrumental activities of daily living (IADL) at the earliest stages of Alzheimer's disease (AD) is critical.

Objective: The objective of this exploratory study was to examine the cross-sectional relationship between a performance-based IADL test, the Harvard Automated Phone Task (APT), and cerebral tau and amyloid burden in cognitively normal (CN) older adults.

Methods: Seventy-seven CN participants underwent flortaucipir tau and Pittsburgh Compound B amyloid PET.

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