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Updated: Feb 23, 2026

Reducing State Anxiety Using Working Memory Maintenance
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Error-Specific Cognitive Control Alterations in Generalized Anxiety Disorder.

James F Cavanagh1, Alexandria Meyer2, Greg Hajcak3

  • 1University of New Mexico.

Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
|September 6, 2017
PubMed
Summary
This summary is machine-generated.

Individuals with Generalized Anxiety Disorder (GAD) show distinct neural responses to errors and conflict. These brain activity patterns, including the Error-Related Negativity (ERN), can accurately identify GAD, suggesting potential biomarkers for anxiety.

Keywords:
AnxietyERNN2classificationcognitive controltheta

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Cognitive Psychology

Background:

  • Trait anxiety is linked to heightened neural responses after errors, with meta-analyses showing an increased Error-Related Negativity (ERN) in anxious individuals.
  • The ERN is associated with broader control signals via theta band activity, but its relation to worry and altered cognitive control in anxiety remains unclear.

Purpose of the Study:

  • To investigate electroencephalography (EEG) activities in Generalized Anxiety Disorder (GAD) and control participants during an executive control task.
  • To determine if altered theta-band network control signals in GAD impact cognitive control implementation.

Main Methods:

  • Examined EEG data from 39 participants with GAD and 52 control participants during an executive control task.
  • Utilized a predefined theta-band network to analyze control signals and their relation to cognitive control differences in GAD.

Main Results:

  • GAD and control groups were distinguished by error- and conflict-related neural activity in both time and theta band frequency domains.
  • Error-Related Negativity (ERN), error-related theta power, and theta-response time correlation uniquely predicted GAD status.
  • These neural metrics accounted for nearly 25% of group variance, classifying GAD from controls with 66.7% accuracy.

Conclusions:

  • Multiple neural metrics of error processing can differentiate clinical anxiety (GAD) from healthy individuals.
  • Mechanisms of cognitive control appear to differ in GAD.
  • Error-related neural measures show potential as sensitive and specific biomarkers for anxiety.