Publications by authors named "Aizenstein H"

Background: The relationship between subtle cognitive decline and Alzheimer's disease (AD) pathology as measured by biomarkers in settings outside of specialty memory clinics is not well characterized.

Objective: To investigate how subtle longitudinal cognitive decline relates to neuroimaging biomarkers in individuals drawn from a population-based study in an economically depressed, small-town area in southwestern Pennsylvania, USA.

Methods: A subset of participants without dementia (N = 115, age 76.

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Importance: Emerging evidence suggests that severe acute respiratory syndrome, COVID-19, negatively impacts brain health, with clinical magnetic resonance imaging (MRI) showing a wide range of neurologic manifestations but no consistent pattern. Compared with 3 Tesla (3T) MRI, 7 Tesla (7T) MRI can detect more subtle injuries, including hippocampal subfield volume differences and additional standard biomarkers such as white matter lesions. 7T MRI could help with the interpretation of the various persistent post-acute and distal onset sequelae of COVID-19 infection.

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Article Synopsis
  • The study investigated how 6 months of intermittent exercise affects cognitive function in older adults, comparing low-intensity movement (LIM) and moderate-intensity aerobic exercise (AE).
  • Results showed that LIM improved learning and memory, while AE enhanced executive functioning, indicating different cognitive benefits from each type of exercise.
  • Neuroimaging revealed that changes in brain structure and certain inflammatory markers correlated with cognitive improvements, underlining the distinct advantages of both LIM and AE in older populations.
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The rapid advancements in magnetic resonance imaging (MRI) technology have precipitated a new paradigm wherein cross-modality data translation across diverse imaging platforms, field strengths, and different sites is increasingly challenging. This issue is particularly accentuated when transitioning from 3 Tesla (3T) to 7 Tesla (7T) MRI systems. This study proposes a novel solution to these challenges using generative adversarial networks (GANs)-specifically, the CycleGAN architecture-to create synthetic 7T images from 3T data.

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  • The study investigates the relationship between white matter hyperintensities (WMH) on brain MRIs and cognitive decline, focusing on how these factors may differ between sexes.
  • Researchers analyzed 713 participants aged 49-89, assessing the effects of modifiable risk factors for WMH and examining their impact on long-term dementia outcomes.
  • Findings suggest that age and type 2 diabetes significantly influence WMH volume, with stronger correlations identified in females, and that WMH burden is linked to worse dementia outcomes over time specifically in females.
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Background: Tau accumulation in Alzheimer's disease is associated with short term clinical progression and faster rates of cognitive decline in individuals with high amyloid-β deposition. Defining an optimal threshold of tau accumulation predictive of cognitive decline remains a challenge.

Objective: We tested the ability of regional tau PET sensitivity and specificity thresholds to predict longitudinal cognitive decline.

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Background: Women carrying the allele are at greater risk of developing Alzheimer's disease (AD) from ages 65-75 years compared to men. To better understand the elevated risk conferred by carrier status among midlife women, we investigated the separate and interactive associations of endogenous estrogens, plasma AD biomarkers, and carrier status on regional brain volumes in a sample of late midlife postmenopausal women.

Methods: Participants were enrolled in MsBrain, a cohort study of postmenopausal women ( = 171, mean age = 59.

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Objective: Determine associations of endogenous estrogens with memory systems in the postmenopausal brain and evaluate clinical significance.

Study Design: In the MsBrain cohort (n=199, mean age 59.3+3.

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Introduction: Although reproductive hormones are implicated in cerebral small vessel disease in women, few studies consider measured hormones in relation to white matter hyperintensity volume (WMHV), a key indicator of cerebral small vessel disease. Even fewer studies consider estrone (E1), the primary postmenopausal estrogen, or follicle-stimulating hormone (FSH), an indicator of ovarian age. We tested associations of estradiol (E2), E1, and FSH to WMHV among women.

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Article Synopsis
  • The study investigates sex-specific risk factors for white matter hyperintensities (WMH), linked to cerebral small vessel disease (CSVD), and their impact on cognitive decline in older adults.
  • Using MRI data from 713 participants (241 males and 472 females), it analyzes how factors like age and type 2 diabetes relate to WMH volume in both sexes.
  • Results indicate that females had a stronger correlation between age and WMH volume, with type 2 diabetes affecting only females, and WMH burden negatively impacted longitudinal dementia outcomes specifically in females.
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Numerous research groups worldwide have focused on postmortem imaging to bridge the resolution gap between clinical neuroimaging and neuropathology data. We developed a standardized protocol for brain embedding, imaging, and processing, facilitating alignment between antemortem MRI, postmortem MRI, and pathology to observe brain atrophy and structural damage progression over time. Using 7T postmortem ex vivo MRI, we explore the potential correlation of amygdala and hippocampal atrophy with neuropathological burden in both Down syndrome (DS) and Alzheimer's disease (AD) cohorts.

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The development of innovative non-invasive neuroimaging methods and biomarkers is critical for studying brain disease. Imaging of cerebrospinal fluid (CSF) pulsatility may inform the brain fluid dynamics involved in clearance of cerebral metabolic waste. In this work, we developed a methodology to characterize the frequency and spatial localization of whole brain CSF pulsations in humans.

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Depression in older adults with cognitive impairment increases progression to dementia. Microbiota is associated with current mood and cognition, but the extent to which it predicts future symptoms is unknown. In this work, we identified microbial features that reflect current and predict future cognitive and depressive symptoms.

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Introduction: Alzheimer's disease (AD) is a neurodegenerative disorder characterized by changes in beta amyloid (Aß) and tau as well as changes in cerebral glucose metabolism and gray matter volume. This has been categorized as three distinct stages of amyloid, tau, and neurodegeneration. Past studies have shown asymmetric Aβ accumulation and its association with asymmetric cerebral metabolism in preclinical AD.

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White matter hyperintensity (WMH) lesions on brain MRI images are surrogate markers of cerebral small vessel disease. Longitudinal studies examining the association between diabetes and WMH progression have yielded mixed results. Thus, in this study, we investigated the association between HbA1c, a biomarker for the presence and severity of hyperglycemia, and longitudinal WMH change after adjusting for known risk factors for WMH progression.

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Background And Objectives: While the highest prevalence of dementia occurs in individuals older than 80 years, most imaging studies focused on younger populations. The rates of β-amyloid (Aβ) accumulation and the effect of Alzheimer disease (AD) pathology on progression to dementia in this age group remain unexplored. In this study, we examined the relationship between changes in Aβ deposition over time and incident dementia in nondemented individuals followed during a period of 11 years.

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The goal of this overview is to help clinicians develop basic proficiency with the terminology of deep learning and understand its fundamentals and early applications. We describe what machine learning and deep learning represent and explain the underlying data science principles. We also review current promising applications and identify ethical issues that bear consideration.

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Development of innovative non-invasive neuroimaging methods and biomarkers are critical for studying brain disease. In this work, we have developed a methodology to characterize the frequency responses and spatial localization of oscillations and movements of cerebrospinal fluid (CSF) flow in the human brain. Using 7 Tesla human MRI and ultrafast echo-planar imaging (EPI), images were obtained to capture CSF oscillations and movements.

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Background: Identifying risk factors for Alzheimer disease in women is important as women compose two-thirds of individuals with Alzheimer disease. Previous work links vasomotor symptoms, the cardinal menopausal symptom, with poor memory performance and alterations in brain structure, function, and connectivity. These associations are evident when vasomotor symptoms are monitored objectively with ambulatory skin conductance monitors.

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Article Synopsis
  • PTSD is linked to cardiovascular issues and cognitive decline in midlife women, but its effects on brain and heart health are not well understood.
  • A study examined the relationship between PTSD symptoms and indicators like carotid intima media thickness (IMT) and brain white matter hyperintensity volume (WMHV) in women aged 45 to 67 without prior cardiovascular or neurological diseases.
  • Results showed that higher PTSD symptoms correlated with increased carotid IMT, indicating potential vascular risks, and the impact on cognitive function varied depending on the presence of the APOEε4 genotype.
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Introduction: Compared to males, females have an accelerated trajectory of cognitive decline in Alzheimer's disease (AD). The neurobiological factors underlying the more rapid cognitive decline in AD in females remain unclear. This study explored how sex-dependent alterations in hippocampal connectivity over 2 years are associated with cerebrovascular and amyloid pathologies in normal aging.

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Dramatic advances in the management of congenital heart disease (CHD) have improved survival to adulthood from less than 10% in the 1960s to over 90% in the current era, such that adult CHD (ACHD) patients now outnumber their pediatric counterparts. ACHD patients demonstrate domain-specific neurocognitive deficits associated with reduced quality of life that include deficits in educational attainment and social interaction. Our hypothesis is that ACHD patients exhibit vascular brain injury and structural/physiological brain alterations that are predictive of specific neurocognitive deficits modified by behavioral and environmental enrichment proxies of cognitive reserve (e.

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Introduction: Subjective cognitive decline (SCD) may represent the earliest preclinical stage of Alzheimer's Disease (AD) for some older adults. However, the underlying neurobiology of SCD is not completely understood. Since executive function may be affected earlier than memory function in the progression of AD, we aimed to characterize SCD symptoms in terms of fMRI brain activity during the computerized digit-symbol substitution task (DSST), an executive function task.

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A methodology for determining tau PET thresholds is needed to confidently detect early tau deposition. We compared multiple threshold-determining methods in participants who underwent either F-flortaucipir or F-MK-6240 PET scans. F-flortaucipir ( = 798) and F-MK-6240 ( = 216) scans were processed and sampled to obtain regional SUV ratios.

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