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 Experiment Videos

Age differences in factor analysis of EEG.

Thomas W Pierce1, Todd D Watson, Joseph S King

  • 1Department of Psychology, Radford University, Radford, VA 24142, USA.

Brain Topography
|November 1, 2003
PubMed
Summary
This summary is machine-generated.

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

Screening for Postprandial Hypotension: The Importance of Home Blood Pressure Monitoring.

American journal of hypertension·2026
Same author

Treatment and Management of Osteofibrous Dysplasia Like Adamantinoma - A Single Institution Experience.

Journal of the Pediatric Orthopaedic Society of North America·2026
Same author

Foundational elements for developing a United States Caribbean Streamflow Duration Assessment Method.

Aquatic conservation : marine and freshwater ecosystems·2026
Same author

Clinician Time Savings and Financial Value of Workstation Single Sign-On and Access Management in the United Kingdom and Ireland.

Advances in health information science and practice·2025
Same author

A Survey of Clinicians in US Healthcare Delivery Organizations on Mobile Device Use in Care Delivery.

Advances in health information science and practice·2025
Same author

Third-Party Access Cybersecurity Threats and Precautions: A Survey of Healthcare Delivery Organizations.

Applied clinical informatics·2025
Same journal

Diffusion-Informed Joint Segmentation Enhances Detection of Thalamic Atrophy in Parkinson's Disease.

Brain topography·2026
Same journal

Local Field Potential Recordings Using Deep Brain Stimulation: A Practical Workflow and Open-Source Signal Processing Pipeline.

Brain topography·2026
Same journal

Electrocortical Indices of Default Mode Network-Related Activity in ADHD and Modulation Through Mindfulness-Based Cognitive Therapy.

Brain topography·2026
Same journal

Electroencephalogram for the Diagnosis of Depression: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy.

Brain topography·2026
Same journal

Mapping Whole-Brain Nonlinear Structure-Function Dynamics in Aging via Neural Granger Causality.

Brain topography·2026
Same journal

Association Between Spatiotemporal Properties of Global Brain Activity and Childhood Emotional and Behavioral Problems: Evidence from Microstate C.

Brain topography·2026
See all related articles

Older adults exhibit more complex electroencephalography (EEG) patterns than younger adults, suggesting reduced coordination among brain areas with age. This research explores age-related changes in brain activity complexity.

Area of Science:

  • Neuroscience
  • Cognitive Aging
  • Electrophysiology

Background:

  • Understanding age-related changes in brain function is crucial for cognitive health.
  • Electroencephalography (EEG) provides insights into the spatiotemporal dynamics of brain activity.
  • Previous research suggests alterations in brain activity patterns with advancing age.

Purpose of the Study:

  • To investigate age-related differences in the factor structure of electroencephalography (EEG) data.
  • To examine how task performance influences age-related EEG complexity.
  • To explore potential age-related changes in cortical coordination.

Main Methods:

  • Acquired 128-electrode EEG data from healthy younger and older adults.
  • Recorded EEG before, during, and after a Continuous Performance Task (CPT).

Related Experiment Videos

  • Performed factor analysis on five-second EEG segments, treating electrode voltages as variables.

    • Main Results:

    • Older adults consistently showed significantly more EEG factors than younger adults across all task conditions.
    • Eigenvalues for the primary common factor were significantly larger in younger adults' EEG data.
    • These findings indicate greater complexity in the spatial distribution of EEG activity in older adults.

    Conclusions:

    • Older adults display increased complexity in EEG spatial distribution compared to younger adults.
    • This increased complexity may reflect an age-related decline in the coordination of cortical areas.
    • EEG factor analysis is a valuable tool for assessing age-related changes in brain activity.