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 Video

Updated: Jun 19, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Lower resting-state EEG mean eigenvector centrality is associated with higher math anxiety.

Anna Pavlova1, Timofey Adamovich2, Sergey Malykh2

  • 1Cognitive Health and Intelligence Center, Institute of Cognitive Neuroscience, HSE University, Moscow, Russia.

Frontiers in Human Neuroscience
|June 18, 2026
PubMed
Summary

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

Post-COVID-19 Consequences and Psychological Well-Being in Students: The Mediating Role of Trait Anxiety.

Behavioral sciences (Basel, Switzerland)·2026
Same author

Beyond Conventional Hemostasis Testing: The Diagnostic Impact of Genetic Analysis in inherited Mild Bleeding Disorders.

Hamostaseologie·2026
Same author

The relationship between daytime sleepiness and working memory performance in Russian adolescents: evidence from the Backward Digit Span task.

Frontiers in psychology·2026
Same author

Reliability and normative standards of CANTAB tests for cognitive assessment in Russian children and adolescents.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence·2026
Same author

Free-Energy Landscapes of HBV Hexamer Closure Reveal Key Structural Features of the Transition.

Journal of chemical theory and computation·2026
Same author

Investigating the analytical robustness of the social and behavioural sciences.

Nature·2026

Reduced brain network integration, measured by eigenvector centrality, is linked to higher math anxiety in high school students. This finding highlights neural correlates of math anxiety during rest.

Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Educational Psychology

Background:

  • Math anxiety is a prevalent issue affecting academic performance.
  • Understanding the neural underpinnings of math anxiety is crucial for developing interventions.
  • Resting-state functional connectivity offers insights into brain network dynamics.

Purpose of the Study:

  • To investigate the resting-state neural correlates of math anxiety in adolescents.
  • To examine the relationship between brain network integration and math anxiety levels.
  • To utilize a graph-theoretical approach on electroencephalography (EEG) data.

Main Methods:

  • Recruited 60 tenth-grade students (mean age 16.15 years).
  • Acquired resting-state EEG data using a 32-channel wireless system.
Keywords:
eigenvector centralitygraph theoryhealthy adolescentsmath anxietyresting state EEG

More Related Videos

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

Related Experiment Videos

Last Updated: Jun 19, 2026

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography
06:40

Microstate and Omega Complexity Analyses of the Resting-state Electroencephalography

Published on: June 15, 2018

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

  • Assessed math anxiety with the Abbreviated Math Anxiety Scale and analyzed network integration using eigenvector centrality.

    • Main Results:

    • Significant negative associations found between mean eigenvector centrality and math anxiety.
    • Associations observed in the alpha band (eyes-closed), theta band (eyes-open), and beta band (eyes-closed).
    • Correlation coefficients ranged from r = -0.28 to -0.34, with no significant sex differences.

    Conclusions:

    • Lower functional network integration in the brain is associated with higher math anxiety.
    • These findings support previous research linking reduced network integration to math anxiety.
    • Suggests potential neural targets for interventions aimed at mitigating math anxiety.