A5036085071- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Nutritional Studies and Diet
- Health, Environment, Cognitive Aging
- Machine Learning in Healthcare
- Genetic Associations and Epidemiology
- Functional Brain Connectivity Studies
- Bioinformatics and Genomic Networks
- Blood Pressure and Hypertension Studies
- Adipokines, Inflammation, and Metabolic Diseases
- Artificial Intelligence in Healthcare
- Cardiovascular Health and Risk Factors
- Traumatic Brain Injury Research
- Diet and metabolism studies
- Nutrition and Health in Aging
- Neurobiology of Language and Bilingualism
- Phonocardiography and Auscultation Techniques
- Cardiovascular Health and Disease Prevention
- Traumatic Brain Injury and Neurovascular Disturbances
- Epigenetics and DNA Methylation
- Neurological Disease Mechanisms and Treatments
- Frailty in Older Adults
- Voice and Speech Disorders
- Cerebrospinal fluid and hydrocephalus
- Health disparities and outcomes
Boston University
2016-2025
Framingham Heart Study
2019-2025
University School
2022
Sleep Research Society
2021
King's College London
2021
Humboldt-Universität zu Berlin
2021
VA Boston Healthcare System
2021
National Heart Lung and Blood Institute
2019
The association between peripheral inflammatory biomarkers and Alzheimer disease (AD) is not consistent in the literature. It possible that chronic inflammation, rather than 1 episode of interacts with genetic vulnerability to increase risk for AD.To study interaction apolipoprotein E (ApoE) genotype low-grade inflammation its incidence AD.In this cohort study, data from 2656 members Framingham Heart Study offspring (Generation 2; August 13, 1971-November 27, 2017) were evaluated, including...
Abstract Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an artificial intelligence (AI) model that harnesses broad array data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations multimodal neuroimaging, identify the etiologies contributing individuals. The...
The relationship between persistent loneliness and Alzheimer's disease (AD) is unclear. We examined the different types of mid-life development dementia AD.Loneliness was assessed in cognitively normal adults using one item from Center for Epidemiologic Studies Depression Scale. defined as no loneliness, transient incident loneliness,or applied Cox regression models Kaplan-Meier plots with AD outcomes (n = 2880).After adjusting demographics, social network, physical health, apolipoprotein E...
Growing evidence relates body mass index (BMI) to poorer health outcomes; however, results across studies associating BMI and dementia are conflicting. A total of 3,632 Framingham Offspring participants aged 20 60 years at their second examination (1979-1983) were included in this study, with 190 cases incident identified by 2017. Cox proportional hazards regression models fitted investigate the association each 8 exams as a baseline for risk associations between obesity age groups. Spline...
Abstract Introduction It is unknown whether vascular and metabolic diseases assessed in early adulthood are associated with Alzheimer's disease (AD) later life. Methods Association of AD lipid fractions, glucose, blood pressure, body mass index (BMI), smoking obtained prospectively from 4932 Framingham Heart Study (FHS) participants across nine quadrennial examinations was evaluated using Cox proportional hazard Kaplan‐Meier models. Age‐, sex‐, education‐adjusted models were tested for each...
Cardiovascular health (CVH) is a modifiable risk factor for Alzheimer's disease (AD). However, studies examining the association between mid-age CVH, as indicated by Life's Essential 8 (LE8) metrics, and digital cognitive performance or AD are limited. To examine associations assessed LE8 scores during ages 45 to 65, Clock Drawing Test (dCDT) well incidence of AD. We included 1198 participants (51.6% women) from Framingham Heart Study (FHS) Offspring cohort. Linear regression Cox...
Abstract INTRODUCTION It is unclear whether aggregated plasma protein risk scores (PPRSs) could be useful in predicting the risks of mild cognitive impairment (MCI) and Alzheimer's disease (AD). METHODS The Cox proportional hazard model with Least Absolute Shrinkage Selection Operator penalty was used to build PPRSs for MCI AD 1515 Framingham Heart Study Generation 2 1128 proteins measured at exam 5 (cognitively normal [CN] = 1258, 129, 128). RESULTS PPRS had a ratio (HR) 6.97 [5.34, 9.12],...
Abstract Background Obesity has been associated with increased risk of dementia several studies reporting a reverse causality, weight loss preceding the onset dementia. Methods Two thousand forty‐five non‐demented Framingham Offspring participants, aged 30 to 50 years, were included determine effect body mass index (BMI) decline patterns from mid‐ late life over 39‐year follow‐up. Group‐based trajectory models used create BMI trajectories. Results Decreasing trends higher developing in life....
Previous research has shown that elevated blood C-reactive protein (CRP) is associated with increased Alzheimer disease (AD) risk only in APOE ε4 allele carriers; the objective of this study was to examine interactive effects plasma CRP and genotype on cognition AD biomarkers.Data from Alzheimer's Disease Neuroimaging Initiative (ADNI) were analyzed, including genotype; concentrations; diagnostic status (i.e., mild cognitive impairment dementia due AD); Mini-Mental State Examination (MMSE)...
Abstract Background Chronic traumatic encephalopathy (CTE), a neurodegenerative tauopathy, cannot currently be diagnosed during life. Atrophy patterns on magnetic resonance imaging could an effective in vivo biomarker of CTE, but have not been characterized. Mechanisms neurodegeneration CTE are unknown. Here, we characterized macrostructural features brain donors with autopsy-confirmed CTE. The association between hyperphosphorylated tau (p-tau) and atrophy was examined. Methods Magnetic...
It remains unclear whether persistent loneliness is related to brain structures that are associated with cognitive decline and development of Alzheimer's disease (AD). This study aimed investigate the relationships between different types, functioning, regional volumes.
Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) continuum. The SCD Initiative International Working Group recently proposed SCD-plus (SCD+) features that increase risk for future objective but have not been assessed a large community-based setting.
It has been over 20 years since Taiwan's implementation of its National Health Insurance (NHI) program. Under this program, the health insurance coverage rate reached approximately 99% population. Despite guaranteeing residents Taiwan equal access regardless socioeconomic status and background, critical problems controversies persist, they continue to challenge NHI. We analyze primary issues facing NHI program with emphasis on financial consumer behavioral aspects. Furthermore, we apply...
Abstract INTRODUCTION Sex differences in neuropsychological (NP) test performance might have important implications for the diagnosis of Alzheimer's disease (AD). This study investigates sex among individuals without dementia at baseline. METHODS Neuropsychological assessment data, both standard scores and process coded responses, from Framingham Heart Study participants were analyzed using regression model Cox proportional hazards model. Optimal NP profiles identified by machine learning...
Aim: Human voice contains rich information. Few longitudinal studies have been conducted to investigate the potential of monitor cognitive health. The objective this study is identify biomarkers that are predictive future dementia. Methods: Participants were recruited from Framingham Heart Study. vocal responses neuropsychological tests recorded, which then diarized participant segments. Acoustic features extracted with OpenSMILE toolkit (v2.1). association each acoustic feature incident...
The Clock Drawing Test (CDT) has been widely used in clinic for cognitive assessment. Recently, a digital Text (dCDT) that is able to capture the entire sequence of clock drawing behaviors was introduced. While variety domain-specific features can be derived from dCDT, it not yet evaluated large community-based population whether dCDT correlate with function.We aimed investigate association between and performance across multiple domains.Participants Framingham Heart Study, cohort...
Abstract INTRODUCTION We examined for associations between potentially modifiable risk factors across the adult life course and incident dementia. METHODS Participants from Framingham Heart Study were included ( n = 4015). Potential education, alcohol intake, smoking, body mass index (BMI), physical activity, social network, diabetes, hypertension. Cox models used to examine each factor dementia, stratified by early (33–44 years), midlife (45–65 late (66–80 years). RESULTS Increased dementia...
Background: Early prediction of dementia risk is crucial for effective interventions. Given the known etiologic heterogeneity, machine learning methods leveraging multimodal data, such as clinical manifestations, neuroimaging biomarkers, and well-documented factors, could predict more accurately than single modal data. Objective: This study aims to develop models that capitalize on neuropsychological (NP) tests, magnetic resonance imaging (MRI) measures, factors 10-year prediction. Methods:...
Abstract INTRODUCTION Early cognitive decline may manifest in subtle differences speech. METHODS We examined 238 cognitively unimpaired adults from the Framingham Heart Study (32–75 years) who completed amyloid and tau PET imaging. Speech patterns during delayed recall of a story memory task were quantified via five speech markers, their associations with global status regional signal examined. RESULTS Total utterance time, number between‐utterance pauses, rate, percentage unique words...
Introduction Accurate prediction of the progression from mild cognitive impairment (MCI) to Alzheimer's disease (AD) within a certain time frame is crucial for appropriate therapeutic interventions. However, it challenging capture dynamic changes in and functional abilities over time, resulting limited predictive performance. Our study aimed investigate whether incorporating longitudinal multimodal data with advanced analytical methods could improve capability predict risk progressing AD....
Abstract Differential diagnosis of dementia remains a challenge in neurology due to symptom overlap across etiologies, yet it is crucial for formulating early, personalized management strategies. Here, we present an AI model that harnesses broad array data, including demographics, individual and family medical history, medication use, neuropsychological assessments, functional evaluations, multimodal neuroimaging, identify the etiologies contributing individuals. The study, drawing on 51,...
Alzheimer's disease (AD) is a heterogeneous disorder characterized by complex underlying neuropathology that not fully understood. This study aimed to identify cognitive progression subtypes and examine their correlation with clinical outcomes.