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

You might also read

Related Articles

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

Sort by
Same author

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Decoupled Hierarchical Distillation for Multimodal Emotion Recognition.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

EEG-to-gait decoding via phase-aware representation learning.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Decoding Covert Speech From EEG by Functional Areas Spatio-Temporal Transformer.

IEEE journal of biomedical and health informatics·2026
Same author

Bioinspired Heat-Induced Viscoelasticity-Switchable Electrodes for Conformal Brain-Computer Interfaces.

Advanced materials (Deerfield Beach, Fla.)·2025
Same author

EEG2GAIT: A Hierarchical Graph Convolutional Network for EEG-Based Gait Decoding.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025

Related Experiment Video

Updated: May 5, 2026

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

3.9K

A brain-computer interface based cognitive training system for healthy elderly: a randomized control pilot study for

Tih-Shih Lee1, Siau Juinn Alexa Goh, Shin Yi Quek

  • 1Duke-National University of Singapore, Graduate Medical School, Singapore, Singapore.

Plos One
|November 22, 2013
PubMed
Summary
This summary is machine-generated.

This study shows a novel brain-computer interface (BCI) system is safe and user-friendly for elderly individuals. The BCI training improved memory and attention, suggesting potential for cognitive enhancement in seniors.

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

6.8K
Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
07:35

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

2.5K

Related Experiment Videos

Last Updated: May 5, 2026

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

3.9K
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

6.8K
Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System
07:35

Author Spotlight: Rehabilitation of Stroke Patients With a Digital Occupational Training System

Published on: December 29, 2023

2.5K

Area of Science:

  • Neuroscience
  • Gerontology
  • Human-Computer Interaction

Background:

  • Cognitive decline in aging presents significant healthcare challenges and reduces quality of life.
  • Previous research demonstrated a brain-computer interface (BCI) system's efficacy in improving attention deficit hyperactivity disorder symptoms.
  • This study piloted a BCI system with a new memory-training game for healthy elderly individuals.

Purpose of the Study:

  • To investigate the safety, usability, and acceptability of a novel BCI system in healthy elderly individuals.
  • To assess the efficacy of the BCI system in improving memory and attention in this population.
  • To gather data supporting a future Phase III trial for cognitive enhancement in seniors.

Main Methods:

  • Thirty-one healthy elderly participants were randomized into an 8-week intervention (n=15) or a waitlist control group (n=16).
  • The intervention group underwent 24 half-hour BCI training sessions incorporating memory exercises.
  • Efficacy was measured using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS), with safety and usability assessed via questionnaires and adverse event monitoring.

Main Results:

  • The BCI system was found to be safe, user-friendly, and acceptable to elderly participants, with positive feedback on usability questionnaires and no reported adverse events.
  • While the difference in RBANS change scores between groups was not statistically significant, an effect size of 0.6SD indicated potential clinical utility.
  • Pooled data revealed statistically significant improvements in overall cognitive scores (p<0.001), specifically in immediate memory (p=0.038), visuospatial/constructional skills (p=0.014), attention (p=0.039), and delayed memory (p<0.001).

Conclusions:

  • The BCI-based system demonstrates promise for enhancing memory and attention in healthy elderly individuals.
  • The system is safe, user-friendly, and acceptable for senior users.
  • The observed efficacy signal warrants further investigation in a Phase III clinical trial.