The Nature of the Relationship Between Anxiety and the Error-Related Negativity Across Development

2017 ◽  
Vol 4 (4) ◽  
pp. 309-321 ◽  
Author(s):  
Jason S. Moser
Keyword(s):  
Error Related Negativity ◽  
The Relationship

scholarly journals Dimensions of anxiety and depression and neurophysiological indicators of error-monitoring: Relationship with delta and theta oscillatory power and error-related negativity amplitude

2019 ◽  
Author(s):  
Alexandra M. Muir ◽  
Ariana Hedges-Muncy ◽  
Ann Clawson ◽  
Kaylie A. Carbine ◽  
Michael J. Larson
Keyword(s):  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Error Monitoring ◽  
Symptom Dimensions ◽  
Depressive Symptomology ◽  
Theta Power ◽  
Error Related Negativity ◽  
Oscillatory Power ◽  
Psychopathology Symptoms ◽  
The Relationship

AbstractError-monitoring processes may be affected by transdiagnostic dimensions of psychopathology symptoms including trait anxiety, worry, and severity of depressive symptoms. We tested the relationship between continuous measures of anxiety and depressive symptomology and neural correlates of error-monitoring as measured by time-frequency domain delta and theta oscillatory power and time domain error-related negativity (ERN) amplitude extracted from the electroencephalogram (EEG). Secondary analyses tested for diagnostic group differences in error-related neural responses in individuals with generalized anxiety disorder (GAD), major depressive disorder (MDD), and comorbid psychiatric disorders. 178 participants (104 female, M[SD]age = 21.7[4.6]) with a wide range of psychopathology symptoms completed a modified version of the Eriksen flanker task and symptom questionnaires. Residualized difference values between correct and error trials for delta/theta power and error/correct ERN amplitude were dependent variables. Linear regression analyses adjusted for age and sex showed nonsignificant associations of symptom dimension measures with error-related residualized delta/theta power or residualized ERN amplitude. Subset analyses on those with confirmed psychopathology diagnoses also did not predict residualized error-related delta/theta power nor ERN amplitude. Exploratory analyses with only error trial delta/theta power and ERN amplitude also revealed nonsignificant relationships. Taken in the context of previous literature, results suggest a heterogeneous relationship between depressive and anxiety symptom dimensions and neurophysiological indices of error-monitoring.Impact StatementIn line with the RDoC framework, we tested the relationship between anxiety and depressive symptom dimensions and neural indices of error-processing (delta and theta power, error-related negativity ERP amplitude) in 178 participants with a range of pathology symptoms. A non-significant relationship emerged between neural and symptom measures suggesting anxiety and depressive symptomology have a nuanced relationship with error-monitoring in a large sample across a range of anxiety and depression symptoms.

Electrocortical endophenotypes of anxiety

2019 ◽  
pp. 216-234
Author(s):  
Erik M Mueller
Keyword(s):  
Individual Differences ◽  
Single Gene ◽  
High Temporal Resolution ◽  
Gene Variants ◽  
Replication Studies ◽  
Error Related Negativity ◽  
Neural Processes ◽  
Frontal Midline Theta ◽  
Fear And Anxiety ◽  
The Relationship

Individual differences in dispositional anxiety and risk for anxiety disorders are heritable. Because robust direct associations between single gene variants and complex anxiety-related phenotypes remain sparse, it is important to identify brain “endophenotypes” that mediate the relationship between genotypes and dispositional anxiety. Due to its high temporal resolution, electroencephalography (EEG) is an ideal non-invasive tool to study individual differences in basic fear and anxiety-related neural processes, which often occur within few hundred milliseconds after threat signals appear. In this chapter, putative anxiety-related EEG markers are presented including the C1, P100, N1, N170, NoGo-N2, P300, Late Positive Potential, Feedback-Related Negativity, Error-Related Negativity, frontal midline theta, and N300H brain–heart-coupling components. For each marker, heritability estimates and/or tentative associations with single gene variants are presented and discussed. While individual differences in anxiety-related EEG activity seem genetically influenced, more replication studies are needed to confirm specific links between gene variants and anxiety-related EEG markers.

scholarly journals Sex Differences in Anxiety: An Investigation of the Moderating Role of Sex in Performance Monitoring and Attentional Bias to Threat in High Trait Anxious Individuals

2021 ◽  
Vol 15 ◽  
Author(s):  
Natalie Strand ◽  
Lin Fang ◽  
Joshua M. Carlson
Keyword(s):  
Sex Differences ◽  
Attentional Bias ◽  
Trait Anxiety ◽  
Performance Monitoring ◽  
Meta Analysis ◽  
Error Related Negativity ◽  
Significant Difference ◽  
The Relationship ◽  
Moderating Role

Anxiety disorders are more predominant in women than men, however there is a lack of understanding as to what neurocognitive mechanisms drive this sex difference. Recent investigation has found a potential moderating role of sex in the relationship between anxiety and the error related negativity (ERN)—a component of error-monitoring that is prevalent in high anxiety individuals—such that females display a positive relationship between anxiety/worry and ERN amplitude. We strove to further explore the influence of sex on the relationship between trait anxiety and performance monitoring, specifically with ERN, as well as extend this work to include another hallmark of anxiety, attentional bias to threat. To meet this end, participants performed the flanker and dot-probe tasks, respectively. We did not find a significant difference in the relationship between attention bias scores and anxiety for female vs. males participants. Furthermore, ΔERN amplitudes were greater in males compared to females, and males had more positive CRN amplitudes than females. There were no significant associations between ERN or ΔERN with anxiety in both male and female participants. However, there was a significant relationship between CRN amplitudes and trait anxiety in male but not female participants. Given these results, the effect of sex on the relationship between components of performance monitoring—namely the CRN and ERN—and anxiety may be more nuanced than the current understanding. Our study was limited to detecting medium to large sized moderation effects. Our findings may be important for future meta-analysis on sex differences in anxiety.

The Good, the Bad, or the Useful? The Examination of the Relationship between the Feedback-related Negativity (FRN) and Long-term Learning Outcomes

2013 ◽  
Vol 25 (8) ◽  
pp. 1249-1260 ◽  
Author(s):  
Yael Arbel ◽  
Kristen Goforth ◽  
Emanuel Donchin
Keyword(s):  
Reinforcement Learning ◽  
Learning Outcomes ◽  
Learning Task ◽  
Paired Associates ◽  
Error Related Negativity ◽  
Future Events ◽  
Spatio Temporal ◽  
The Relationship ◽  
Mesencephalic Dopamine

According to the reinforcement learning account of the error-related negativity (ERN), the ERN is a manifestation of a signal generated in ACC as a consequence of a phasic decrease in the activity of the mesencephalic dopamine system occurring when the monitoring system evaluates events as worse than expected. This signal is also hypothesized to be used to modify behavior to ascertain that future events will have better outcomes. It is therefore expected that this signal be correlated with learning outcomes. We report a study designed to examine the extent to which the ERN is related to learning outcomes within a paired-associates learning task. The feedback-related negativity (FRN) elicited by stimuli that indicated to the participants whether their response was correct or not was examined both according the degree to which the associates were learned in the session and according to whether participants recalled the associations on the next day. The results of the spatio-temporal PCA indicate that, whereas the process giving rise to the negative feedback elicited a FRN whose amplitude was not correlated with long-term learning outcomes, positive feedback was associated with a FRN-like activity, which was correlated with the learning outcomes. Another ERP component that follows the FRN temporally and shares its spatial distribution was found associated with long-term learning outcomes. Our findings shed light on the functional significance of the feedback-related ERP components and are discussed within the framework of the reinforcement learning ERN hypothesis.

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