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,...

You might also read

Related Articles

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

Sort by

Same author

An Intra-Body Power Transfer System via Localized Capacitive Coupling.

IEEE open journal of engineering in medicine and biology·2026

Same author

Topic: Evaluation and Treatment of Social Isolation and Loneliness: Evidence-based Recommendations for Stroke and Neurological Rehabilitation.

Current physical medicine and rehabilitation reports·2026

Same author

Experimental quantification of balance using whole-body stability regions from postural sway exercises.

Biomedical engineering online·2026

Same author

Usability Acceptability and Satisfaction of a New Mobile Intervention among Nepalese Women with Gestational Diabetes: A Cross-sectional Study.

JNMA; journal of the Nepal Medical Association·2026

Same author

Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor Performance.

Neurorehabilitation and neural repair·2025

Same author

A systematic review of unmet needs of older adults in home settings and their implications for novel technological solutions.

Innovation in aging·2025

Search research articles

Related Experiment Video

Updated: Sep 12, 2025

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Improving Responsiveness in Game-based Cognitive Assessment for Mild Cognitive Impairment.

Juhyeon Lee, Aurora James-Palmer, Isaac Heitmann

Medrxiv : the Preprint Server for Health Sciences

|August 8, 2025

Summary

Game-based cognitive monitoring shows promise for detecting cognitive decline in Mild Cognitive Impairment (MCI). This approach offers a valid, accessible alternative to traditional screening tools for aging populations.

More Related Videos

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Related Experiment Videos

Last Updated: Sep 12, 2025

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing

Published on: January 24, 2020

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Combining Computer Game-Based Behavioural Experiments With High-Density EEG and Infrared Gaze Tracking

Published on: December 16, 2010

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

Area of Science:

Gerontology
Neuroscience
Computational Psychiatry

Background:

Mild Cognitive Impairment (MCI) affects a significant portion of older adults, often preceding dementia.
Current cognitive screening tools, like the Montreal Cognitive Assessment (MoCA), face limitations in accessibility and ecological validity due to reliance on clinicians and test anxiety.
Game-based cognitive monitoring is an emerging field with potential for sensitive, self-administered cognitive assessment.

Purpose of the Study:

To introduce and evaluate an analytic pipeline for screening cognitive decline in individuals with MCI using a serious gaming platform.
To assess the sensitivity of game-based cognitive metrics to cognitive changes over time in an MCI population.
To explore the correlation between game-based cognitive assessments and established clinical measures.

Main Methods:

Development of an analytic pipeline utilizing the Neuro-World serious gaming platform with six adaptive subgames.
12-week monitoring of ten participants with MCI, involving 24 game sessions.
Analysis of gameplay data (accuracy, response time) using correlation-based feature selection and machine learning models.

Main Results:

Strong correlations were observed between game-based cognitive assessments and clinician-administered MoCA scores (r = 0.71).
Game-based metrics demonstrated significant correlation with longitudinal cognitive changes (r = 0.80).
The analytic pipeline successfully estimated cognitive function and tracked changes over the study period.

Conclusions:

Game-based cognitive assessments offer a promising, self-administered, and ecologically valid method for screening cognitive decline in MCI.
This technology supports early detection of cognitive changes in aging populations, potentially aiding in dementia prevention strategies.
The developed analytic pipeline demonstrates the feasibility of using serious games for sensitive and continuous cognitive monitoring.