Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Cognitive Development During Adulthood01:30

Cognitive Development During Adulthood

46
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,...
46
Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists01:30

Cognitive Enhancers: Cholinesterase Inhibitors and NMDA Receptor Antagonists

95
Cognitive enhancers, also known as "smart drugs," are substances used to enhance memory, mental alertness, and concentration. These can be natural or synthetic and improve cognition in conditions like Alzheimer's disease (AD) and other neurodegenerative diseases. Some common examples include caffeine, amphetamines, methylphenidate, modafinil, arecoline, donepezil, vortioxetine, and piracetam. These enhancers work on the principle of synaptic plasticity and altered circuit function.
95

You might also read

Related Articles

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

Sort by
Same author

Digital tools and biomarkers for cognitive screening: A systematic review.

Digital health·2026
Same author

Comparing Digital Cognitive Interventions to Active Controls and Usual Care for Mild Cognitive Impairment and Dementia: A Systematic Review and Meta-Analysis.

Medicina (Kaunas, Lithuania)·2026
Same author

The Role of Digital Biomarkers in Physiological Signal-Based Depression Assessment: Systematic Review and Meta-Analysis.

Journal of medical Internet research·2026
Same author

Digital Healthcare Approaches for Fall Detection and Prediction in Older Adults: A Systematic Review of Evidence from Hospital and Long-Term Care Settings.

Medicina (Kaunas, Lithuania)·2025
Same author

Effectiveness of Information and Communication Technology-Based Cognitive Behavioral Therapy Using the Smart Sleep App on Insomnia in Older Adults: Randomized Controlled Trial.

Journal of medical Internet research·2025
Same author

Examining Work Engagement in Integrated Nursing-Care Service Wards: Insights from Structural Equation Modeling.

Journal of nursing management·2025

Related Experiment Video

Updated: May 28, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.6K

Development of an Evidence-Based Cognitive Training Application for Elderly Individuals with Cognitive Dysfunction.

Hee-Jae Chae1, Chan-Hee Kim2, Seon-Heui Lee1,3

  • 1Department of Nursing Science, College of Nursing, Gachon University, Incheon 21936, Republic of Korea.

Healthcare (Basel, Switzerland)
|February 13, 2025
PubMed
Summary

This study developed Smart Brain, an app offering tailored cognitive training for individuals with mild cognitive impairment (MCI) or dementia. The evidence-based application aims to enhance cognitive health and quality of life for the elderly.

Keywords:
cognitive dysfunctioncommunity health nursingdementiainformation technologymobile applications

More Related Videos

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

6.7K
Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
10:13

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

13.6K

Related Experiment Videos

Last Updated: May 28, 2025

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
07:01

Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment

Published on: September 20, 2020

4.6K
A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills
07:31

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

6.7K
Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
10:13

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

13.6K

Area of Science:

  • Gerontology
  • Cognitive Neuroscience
  • Digital Health

Background:

  • Cognitive decline in mild cognitive impairment (MCI) and dementia necessitates early interventions.
  • Evidence-based cognitive training is crucial for managing cognitive decline in at-risk populations.

Purpose of the Study:

  • To develop and evaluate Smart Brain, a comprehensive, evidence-based mobile application for cognitive training in individuals with MCI or dementia.
  • To create a user-centered application incorporating features identified through systematic review and user surveys.

Main Methods:

  • The ADDIE model guided the application's development, incorporating findings from a systematic literature review and a survey of 100 participants.
  • Usability testing was conducted with 7 experts and 11 elderly individuals diagnosed with MCI or dementia.

Main Results:

  • The Smart Brain application features distinct user and administrator interfaces.
  • Usability feedback led to refinements, such as adjusting time limits for cognitive games.
  • The final version integrates cognitive games, physical exercises, emotional support, and health management tools.

Conclusions:

  • Smart Brain demonstrates significant potential as a tool to improve cognitive health and quality of life for elderly individuals with MCI or dementia.
  • The application's usability and integrated features position it as a promising solution for community-based cognitive health interventions.