Cover Image

Exploring the Hierarchical Influence of Cognitive Functions for Alzheimer Disease: The Framingham Heart Study

BackgroundAlthough some neuropsychological (NP) tests are considered more central for the diagnosis of Alzheimer disease (AD), there is a lack of understanding about the interaction between different cognitive tests. ObjectiveThis study aimed to demonstrate a global view of hierarchical probabilisti...

Full description

Saved in:

Bibliographic Details
Main Authors:	Ding, Huitong (Author), An, Ning (Author), Au, Rhoda (Author), Devine, Sherral (Author), Auerbach, Sanford H (Author), Massaro, Joseph (Author), Joshi, Prajakta (Author), Liu, Xue (Author), Liu, Yulin (Author), Mahon, Elizabeth (Author), Ang, Ting FA (Author), Lin, Honghuang (Author)
Format:	Book
Published:	JMIR Publications, 2020-04-01T00:00:00Z.
Subjects:	article
Online Access:	Connect to this object online.
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Association Between the Digital Clock Drawing Test and Neuropsychological Test Performance: Large Community-Based Prospective Cohort (Framingham Heart Study)
by: Yuan, Jing, et al.
Published: (2021)

Associations Between the Digital Clock Drawing Test and Brain Volume: Large Community-Based Prospective Cohort (Framingham Heart Study)
by: Jing Yuan, et al.
Published: (2022)

Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study
by: Huitong Ding, et al.
Published: (2022)

Digital sleep measures and white matter health in the Framingham Heart Study
by: Robert Joseph Thomas, et al.
Published: (2021)

The association between circulating CD34+CD133+ endothelial progenitor cells and reduced risk of Alzheimer's disease in the Framingham Heart Study
by: Yixuan Wang, et al.
Published: (2024)

Identification of digital voice biomarkers for cognitive health
by: Honghuang Lin, et al.
Published: (2020)

Increasing Engagement in the Electronic Framingham Heart Study: Factorial Randomized Controlled Trial
by: Ludovic Trinquart, et al.
Published: (2023)

Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort
by: Larry Zhang, et al.
Published: (2021)

Cerebral Microbleeds in Different Brain Regions and Their Associations With the Digital Clock-Drawing Test: Secondary Analysis of the Framingham Heart Study
by: Samia C Akhter-Khan, et al.
Published: (2024)

Genetic correlates of brain aging on MRI and cognitive test measures: a genome-wide association and linkage analysis in the Framingham study
by: Beiser Alexa S, et al.
Published: (2007)

Epigenome-Wide Association Study of Soluble Tumor Necrosis Factor Receptor 2 Levels in the Framingham Heart Study
by: Michael M. Mendelson, et al.
Published: (2018)

Framingham cardiovascular risk in patients with obesity and periodontitis
by: Juliana Rico Pires, et al.
Published: (2014)

Framingham score in the evaluation of cardiovascular risk in diabetics
by: Mariana Costa Larré, et al.
Published: (2015)

Assessment Of Cardiovascular Disease Risk by Using Framingham Risk Equation Amongst the Residents of Ahmedabad City
by: Sonal Parikh, et al.
Published: (2013)

Using machine intelligence to uncover Alzheimer's disease progression heterogeneity
by: Bessi Qorri, et al.
Published: (2020)

Association of Habitual Physical Activity With Home Blood Pressure in the Electronic Framingham Heart Study (eFHS): Cross-sectional Study
by: Mayank Sardana, et al.
Published: (2021)

Hierarchical Porous Carbon-PLLA and PLGA Hybrid Nanoparticles for Intranasal Delivery of Galantamine for Alzheimer's Disease Therapy
by: Stavroula G. Nanaki, et al.
Published: (2020)

Recalibration of Framingham risk for a local population of Sri Lanka
by: Sameera Upashantha Ranasinghe, et al.
Published: (2024)

Gene by Sex Interaction for Measures of Obesity in the Framingham Heart Study
by: Ashlee M. Benjamin, et al.
Published: (2011)

Hierarchical two-step floating catchment area (2SFCA) method: measuring the spatial accessibility to hierarchical healthcare facilities in Shenzhen, China
by: Zhuolin Tao, et al.
Published: (2020)

Applicability of Framingham risk equations for studying a low-income mexican population Aplicabilidad del puntaje de Framingham en población mexicana de nivel socioeconómico bajo
by: Aida Jiménez-Corona, et al.
Published: (2009)

Where to Sit? Type of Sitting Matters for the Framingham Cardiovascular Risk Score
by: Katja Borodulin, et al.
Published: (2016)

Genome-wide association with bone mass and geometry in the Framingham Heart Study
by: Murabito Joanne M, et al.
Published: (2007)

Reclassification of the Framingham risk score and its agreement with other three calculations
by: Alessandra Santos Sales, et al.
Published: (2019)

Assessment of Framingham risk score and systemic coronary risk evaluation in rosacea patients
by: Asli Akin Belli, et al.
Published: (2017)

Cardiovascular risk in primary care: comparison between Framingham Score and waist circumference
by: Nina Vitória de Souza Silva Andrade, et al.
Published: (2021)

Association between kidney function and Framingham risk score in an admixed population of Brazil
by: Brunna Soares Rodrigues Costa, et al.
Published: (2018)

Escore de Framingham na avaliação do risco cardiovascular em diabéticos
by: Mariana Costa Larré, et al.
Published: (2014)

Chagas disease diagnosis and cure assessment: Getting formally hierarchical about a naturally hierarchical problem.
by: Fernando Abad-Franch
Published: (2020)

Genome-wide association study for subclinical atherosclerosis in major arterial territories in the NHLBI's Framingham Heart Study
by: Hwang Shih-Jen, et al.
Published: (2007)

Estratificação de Risco Cardiovascular na Atenção Primária segundo Escore de Framingham.
by: Naira Pereira de SOUSA, et al.
Published: (2016)

The Framingham Heart Study, on its way to becoming the gold standard for Cardiovascular Genetic Epidemiology?
by: Jaquish Cashell E
Published: (2007)

A genome-wide association study for blood lipid phenotypes in the Framingham Heart Study
by: Burtt Nöel P, et al.
Published: (2007)

Hierarchical deep compartment modeling: A workflow to leverage machine learning and Bayesian inference for hierarchical pharmacometric modeling
by: Ahmed Elmokadem, et al.
Published: (2024)

Hierarchical Materials for Advanced Energy Storage
Published: (2020)

Opportunities of measuring hierarchical models of psychopathology
by: Erik Pettersson
Published: (2023)

Improving Alzheimer's Disease Detection for Speech Based on Feature Purification Network
by: Ning Liu, et al.
Published: (2022)

Healthcare-seeking behavior among pregnant women in the Chinese hierarchical medical system: a cross-sectional study
by: Guihao Liu, et al.
Published: (2019)

Predictors of incident diabetes in two populations: framingham heart study and hispanic community health study / study of latinos
by: Robert C. Kaplan, et al.
Published: (2022)

Changes in the food environment over time: examining 40 years of data in the Framingham Heart Study
by: Peter James, et al.
Published: (2017)