Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cognitive Development During Adulthood

Cognitive Development During Adulthood

Cognitive development continues throughout adulthood, undergoing significant shifts across early, middle, and late stages. Individual transition occurs from adolescent idealism to pragmatic and adaptable thinking in early adulthood. During this period, individuals learn to integrate personal beliefs with the recognition that other perspectives are equally valid. Exposure to the complexities of modern society, diverse experiences, and higher education contribute to this adaptive thought process,...

Alzheimer's Disease: Overview

Alzheimer's Disease: Overview

Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
The clinical diagnosis of AD hinges on the presence of memory and other cognitive impairments. Biomarkers, such as changes in Aβ...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Survival estimates and their predictors in genetic frontotemporal dementia: an international, retrospective, cohort study.

The Lancet. Neurology·2026

Same author

Trajectories of brain structure and function in young adult carriers of genetic frontotemporal dementia variants.

medRxiv : the preprint server for health sciences·2026

Same author

Reviewer Comment on Martineau et al. "Barriers to Clinical Care in Frontotemporal Dementia and Related Disorders: A Cross-Sectional Survey of Patients and Caregivers' Journey in the Canadian Healthcare System".

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques·2026

Same author

Substantia Innominata : Atrophy, Gait Variability and Dual-Task Gait Across the Lewy Body Disease Spectrum.

The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques·2026

Same author

Blood-based biomarkers for Alzheimer's disease. 'Treat the test, not the patient?'; are we ready to defy Osler?

Expert review of molecular diagnostics·2026

Same author

Examining the effects of alcohol use on verbal memory processes in older adults with mild cognitive impairment.

Journal of Alzheimer's disease : JAD·2026

Search research articles

Related Experiment Video

Updated: Oct 18, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

A Multimodal Risk Network Predicts Executive Function Trajectories in Non-demented Aging.

Shraddha Sapkota¹, G Peggy McFall^2,3, Mario Masellis^1,4

¹Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.

Frontiers in Aging Neuroscience

|October 4, 2021

Summary

This study reveals that combined lifestyle and health risk factors predict cognitive decline in aging adults, especially those with specific Alzheimer's disease (AD) genetic risks like Apolipoprotein E (APOE). These risks are amplified by additional AD genetic risk scores.

Keywords:

Alzheimer’s disease Victoria Longitudinal Study cognitive trajectories genetic risk scores modifiable risk factors normal aging

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Related Experiment Videos

Last Updated: Oct 18, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

Published on: May 7, 2014

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Area of Science:

Gerontology and Cognitive Neuroscience
Neurodegenerative Disease Research
Biostatistics and Genetic Epidemiology

Background:

Multiple Alzheimer's disease (AD) risk factors may interact to influence cognitive trajectories in aging individuals.
Understanding these complex interactions is crucial for predicting cognitive decline in asymptomatic aging populations.

Purpose of the Study:

To investigate the independent and interactive effects of functional-health and lifestyle-reserve risk scores on cognitive executive function (EF) trajectories.
To examine the moderating roles of Apolipoprotein E (APOE) and a combined AD genetic risk score (AD-GRS) on these associations.

Main Methods:

Longitudinal data from 602 non-demented older adults (ages 53-95) from the Victoria Longitudinal Study (VLS).
Assessment of functional-health (pulse pressure, grip strength, BMI) and lifestyle-reserve (physical, social, cognitive activities, education) risk scores.
Inclusion of genetic risk markers: APOE genotype and a three-SNP AD-GRS; analysis using latent growth curve modeling and structural path analyses.

Main Results:

Higher functional-health, lifestyle-reserve, and combined risk scores were associated with poorer EF performance and steeper decline.
APOE and AD-GRS moderated the impact of functional-health and combined risk scores on EF trajectories.
The negative effects of high risk scores on EF decline were most pronounced in individuals with the APOE ε4- allele and high AD-GRS.

Conclusions:

A multimodal network approach integrating modifiable and genetic risk factors provides a more precise prediction of EF trajectories in aging.
This approach enhances risk profiling for asymptomatic aging populations, highlighting the interplay between lifestyle, health, and genetics in AD risk.