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Härpfer K, Carsten HP, Kausche FM, Riesel A. Enhanced Performance Monitoring as a Transdiagnostic Risk Marker of the Anxiety and Obsessive-Compulsive Spectrum: The Role of Disorder Category, Clinical Status, Family Risk, and Anxiety Dimensions. Depress Anxiety 2025; 2025:9505414. [PMID: 40259892 PMCID: PMC12009682 DOI: 10.1155/da/9505414] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 09/16/2024] [Accepted: 02/14/2025] [Indexed: 04/23/2025] Open
Abstract
In this preregistered study, we investigated the relationship between neural correlates of performance monitoring and disorders of the anxiety and obsessive-compulsive spectrum. Specifically, we aimed at understanding the role of disorder category, clinical status, family risk, and the transdiagnostic symptom dimensions of anxious apprehension and anxious arousal. To this end, we measured event-related potentials (ERPs) of performance monitoring (i.e., error-related negativity, ERN, and correct-response negativity, CRN) in a large sample of 156 participants, including groups of patients with obsessive-compulsive disorder, social anxiety disorder, and specific phobia, as well as a naturalistic control group. Contrary to our initial expectations, we did not observe significant differences in ERPs among the clinical groups, nor in comparison to the naturalistic control group. However, after creating a more strictly defined healthy control group, we found larger ERN amplitudes in the specific phobia compared with the healthy control group. In addition, when comparing participants with and without a lifetime clinical diagnosis of any internalizing disorder, regardless of their main diagnosis, as well as when comparing those with or without a family risk for internalizing psychopathology, we observed larger amplitudes for both ERN and CRN. Subsequently, we combined data from this study and a previously published subclinical study to examine the role of transdiagnostic symptom dimensions (i.e., anxious apprehension and anxious arousal) across a wider severity spectrum. In this joint sample of 246 participants, gender emerged as a moderator of the link between anxious apprehension and enhanced performance monitoring. Specifically, women with increasing anxious apprehension exhibited elevated ERN and CRN amplitudes. In conclusion, our study challenges the notion of a disorder-specific link to performance monitoring. Instead, our findings suggest that enhanced performance monitoring is associated with a higher propensity for anxious apprehension and acts as a broad risk marker for internalizing psychopathology, reflecting vulnerability beyond diagnostic borders within the anxiety- and obsessive-compulsive spectrum.
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Affiliation(s)
- Kai Härpfer
- Department of Psychology, University of Hamburg, Hamburg 20146, Germany
| | | | | | - Anja Riesel
- Department of Psychology, University of Hamburg, Hamburg 20146, Germany
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Carsten HP, Härpfer K, Malbec M, Wieser MJ, Riesel A. Are errors more aversive in an uncertain world? Testing the influence of uncertainty on the error-related negativity in a randomized controlled trial. Int J Psychophysiol 2025; 207:112480. [PMID: 39647531 DOI: 10.1016/j.ijpsycho.2024.112480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Revised: 11/15/2024] [Accepted: 12/01/2024] [Indexed: 12/10/2024]
Abstract
Overactive error monitoring-as measured by the error-related negativity (ERN)-is a candidate transdiagnostic risk marker for internalizing psychopathology. Previous research reported associations of the ERN and individual differences in intolerance of uncertainty (IU). These findings imply associations between the subconstructs of IU (prospective and inhibitory IU) and the ERN, which we sought to replicate and extend by testing for causal influences that might elucidate specific mechanisms underlying this association. To test associations of uncertainty and the ERN, a preregistered, randomized-controlled design was employed. After measuring the baseline ERN of N = 120 university students, a subsample was randomly assigned to two groups: While an intervention group (n = 30) performed an unsolvable probabilistic "learning" task intended to induce state uncertainty, a passive control group (n = 30) rested. Subsequently, the ERN was assessed again. Self-reported uncertainty was assessed before and after the intervention. To further increase the statistical power of the replication attempt, we performed a correlation analysis (non-preregistered) by including data from two additional samples collected at different study sites. This analysis comprised psychophysiological data from a total of N = 355 participants. Cross-sectionally, no effects of IU on the ERN emerged. Regarding the state uncertainty induction, the intervention group displayed increased self-reported uncertainty after the intervention, but no evidence emerged for ERN alterations attributable to the intervention. The link between individual differences in IU and the ERN might be smaller and less robust than previous findings suggest, reflecting the understudied character of this association. The absence of evidence for mechanistic changes in the ERN due to a successful induction of state uncertainty further questions a link between IU and the ERN. In line with previous studies that linked increased ERN to anxiety, independent of current clinical status, the ERN seems unaffected by short-term changes such as symptom provocations in non-clinical populations.
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Affiliation(s)
| | - Kai Härpfer
- Department of Psychology, University of Hamburg, Germany
| | - Marcelo Malbec
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Matthias J Wieser
- Department of Psychology, Education and Child Studies, Erasmus University Rotterdam, the Netherlands
| | - Anja Riesel
- Department of Psychology, University of Hamburg, Germany
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Morand-Beaulieu S, Banica I, Freeman C, Ethridge P, Sandre A, Weinberg A. Neural response to errors among mothers with a history of recurrent depression and their adolescent daughters. Dev Psychopathol 2024:1-15. [DOI: 10.1017/s0954579424001780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Abstract
Abstract
Depression is transmitted within families, but the mechanisms involved in such transmission are not clearly defined. A potential marker of familial risk is the neural response to errors, which may play a role in depression symptoms and is known to be partially heritable. Here, 97 mother-daughter dyads completed a Flanker task while electroencephalography markers of error monitoring were recorded: the error-related negativity (ERN) and response-locked delta and theta power. We assessed whether these measures of neural response to errors 1) were associated with history of recurrent major depressive disorder (MDD) and current depression symptoms among mothers, 2) were correlated among mother-daughter dyads, and 3) were associated with maternal history of recurrent MDD and maternal symptoms of depression among daughters. A history of recurrent MDD was associated with blunted delta and increased theta among mothers. Across mothers, delta and theta were negatively and positively associated, respectively, with current depression symptoms. Mothers’ and daughters’ ERN were positively correlated. Finally, current maternal depression symptoms were negatively associated with delta power in daughters. These results suggest that neural responses to errors may be implicated in the intergenerational transmission of depression. These results also support the relevance of delta oscillations to understanding pathways to depression.
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Grabowska A, Sondej F, Senderecka M. A network analysis of affective and motivational individual differences and error monitoring in a non-clinical sample. Cereb Cortex 2024; 34:bhae397. [PMID: 39462813 PMCID: PMC11513196 DOI: 10.1093/cercor/bhae397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2024] [Revised: 09/01/2024] [Accepted: 10/03/2024] [Indexed: 10/29/2024] Open
Abstract
Error monitoring, which plays a crucial role in shaping adaptive behavior, is influenced by a complex interplay of affective and motivational factors. Understanding these associations often proves challenging due to the intricate nature of these variables. With the aim of addressing previous inconsistencies and methodological gaps, in this study, we utilized network analysis to investigate the relationship between affective and motivational individual differences and error monitoring. We employed six Gaussian Graphical Models on a non-clinical population ($N$ = 236) to examine the conditional dependence between the amplitude of response-related potentials (error-related negativity; correct-related negativity) and 29 self-report measures related to anxiety, depression, obsessive thoughts, compulsive behavior, and motivation while adjusting for covariates: age, handedness, and latency of error-related negativity and correct-related negativity. We then validated our results on an independent sample of 107 participants. Our findings revealed unique associations between error-related negativity amplitudes and specific traits. Notably, more pronounced error-related negativity amplitudes were associated with increased rumination and obsessing, and decreased reward sensitivity. Importantly, in our non-clinical sample, error-related negativity was not directly associated with trait anxiety. These results underscore the nuanced effects of affective and motivational traits on error processing in healthy population.
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Affiliation(s)
- Anna Grabowska
- Doctoral School in the Social Sciences, Jagiellonian University, Main Square 34, 31-110 Krakow, Poland
- Centre for Cognitive Science, Jagiellonian University, Ingardena 3, 30-060 Krakow, Poland
| | - Filip Sondej
- Centre for Cognitive Science, Jagiellonian University, Ingardena 3, 30-060 Krakow, Poland
| | - Magdalena Senderecka
- Centre for Cognitive Science, Jagiellonian University, Ingardena 3, 30-060 Krakow, Poland
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Randau M, Bach B, Reinholt N, Pernet C, Oranje B, Rasmussen BS, Arnfred S. Transdiagnostic psychopathology in the light of robust single-trial event-related potentials. Psychophysiology 2024; 61:e14562. [PMID: 38459627 DOI: 10.1111/psyp.14562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 01/25/2024] [Accepted: 02/24/2024] [Indexed: 03/10/2024]
Abstract
Recent evidence indicates that event-related potentials (ERPs) as measured on the electroencephalogram (EEG) are more closely related to transdiagnostic, dimensional measures of psychopathology (TDP) than to diagnostic categories. A comprehensive examination of correlations between well-studied ERPs and measures of TDP is called for. In this study, we recruited 50 patients with emotional disorders undergoing 14 weeks of transdiagnostic group psychotherapy as well as 37 healthy comparison subjects (HC) matched in age and sex. HCs were assessed once and patients three times throughout treatment (N = 172 data sets) with a battery of well-studied ERPs and psychopathology measures consistent with the TDP framework The Hierarchical Taxonomy of Psychopathology (HiTOP). ERPs were quantified using robust single-trial analysis (RSTA) methods and TDP correlations with linear regression models as implemented in the EEGLAB toolbox LIMO EEG. We found correlations at several levels of the HiTOP hierarchy. Among these, a reduced P3b was associated with the general p-factor. A reduced error-related negativity correlated strongly with worse symptomatology across the Internalizing spectrum. Increases in the correct-related negativity correlated with symptoms loading unto the Distress subfactor in the HiTOP. The Flanker N2 was related to specific symptoms of Intrusive Cognitions and Traumatic Re-experiencing and the mismatch negativity to maladaptive personality traits at the lowest levels of the HiTOP hierarchy. Our study highlights the advantages of RSTA methods and of using validated TDP constructs within a consistent framework. Future studies could utilize machine learning methods to predict TDP from a set of ERP features at the subject level.
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Affiliation(s)
- Martin Randau
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Bo Bach
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Nina Reinholt
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Copenhagen University Hospital, Copenhagen, Denmark
| | - Belinda S Rasmussen
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Sidse Arnfred
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
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Overmeyer R, Endrass T. Disentangling associations between impulsivity, compulsivity, and performance monitoring. Psychophysiology 2024; 61:e14539. [PMID: 38332720 DOI: 10.1111/psyp.14539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 01/09/2024] [Accepted: 01/28/2024] [Indexed: 02/10/2024]
Abstract
Disorders marked by high levels of impulsivity and compulsivity have been linked to changes in performance monitoring, specifically the error-related negativity (ERN). We investigated the relationship between performance monitoring and individual differences in impulsivity and compulsivity. A total of 142 participants were recruited into four groups, each with different combinations of impulsivity and compulsivity, and they performed a flanker task to assess error-related brain activity. We defined error-related brain activity as ERN amplitude and theta power. Single-trial regression was employed to analyze the amplitude differences between incorrect and correct trials within the ERN time window. The findings revealed that impulsivity, compulsivity, and different measures of response processing exhibited distinct interactions, which were influenced by the configuration of impulsivity and compulsivity, but also depended on the measure of response processing. Specifically, high compulsivity predicted larger ERN amplitudes in individuals with low impulsivity, whereas high impulsivity had no significant effect on ERN amplitude in individuals with low compulsivity. Furthermore, when both impulsivity and compulsivity were high, no significant increase in ERN amplitude was observed; instead, there was a reduced difference between incorrect and correct trials. No significant differences were found for theta power. While the association between error-related brain activity and transdiagnostic markers or psychopathology may be smaller than generally assumed, considering the interaction between different transdiagnostic markers and their facets can enhance our understanding of the complex associations that arise during the investigation of neural correlates of performance monitoring, specifically the ERN.
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Affiliation(s)
- Rebecca Overmeyer
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Tanja Endrass
- Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
- Neuroimaging Center, Technische Universität Dresden, Dresden, Germany
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Randau M, Reinholt N, Pernet C, Oranje B, Rasmussen BS, Arnfred S. Robust single-trial event-related potentials differentiate between distress and fear disorders. Psychophysiology 2024; 61:e14500. [PMID: 38073133 DOI: 10.1111/psyp.14500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/24/2023] [Accepted: 11/21/2023] [Indexed: 04/17/2024]
Abstract
Recent evidence indicates that measures of brain functioning as indexed by event-related potentials (ERPs) on the electroencephalogram align more closely to transdiagnostic measures of psychopathology than to categorical taxonomies. The Hierarchical Taxonomy of Psychopathology (HiTOP) is a transdiagnostic, dimensional framework aiming to solve issues of comorbidity, symptom heterogeneity, and arbitrary diagnostic boundaries. Based on shared features, the emotional disorders are allocated into subfactors Distress and Fear. Evidence indicates that disorders that are close in the HiTOP hierarchy share etiology, symptom profiles, and treatment outcomes. However, further studies testing the biological underpinnings of the HiTOP are called for. In this study, we assessed differences between Distress and Fear in a range of well-studied ERP components. In total, 50 patients with emotional disorders were divided into two groups (Distress, N = 25; Fear, N = 25) according to HiTOP criteria and compared against 37 healthy comparison (HC) subjects. Addressing issues in traditional ERP preprocessing and analysis methods, we applied robust single-trial analysis as implemented in the EEGLAB toolbox LIMO EEG. Several ERP components were found to differ between the groups. Surprisingly, we found no difference between Fear and HC for any of the ERPs. This suggests that some well-established results from the literature, e.g., increased error-related negativity in OCD, are not a shared neurobiological correlate of the Fear subfactor. Conversely, for Distress, we found reductions compared to Fear and HC in several ERP components across paradigms. Future studies could utilize HiTOP-validated psychopathology measures to more precisely define subfactor groups.
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Affiliation(s)
- Martin Randau
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Nina Reinholt
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Cyril Pernet
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
| | - Bob Oranje
- Center for Neuropsychiatric Schizophrenia Research (CNSR), Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research (CINS), Copenhagen University Hospital, Copenhagen, Denmark
| | - Belinda S Rasmussen
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
| | - Sidse Arnfred
- Research Unit for Psychotherapy & Psychopathology, Mental Health Service West, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Psychiatric Research Unit, Copenhagen University Hospital - Psychiatry Region Zealand, Slagelse, Denmark
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Jüres F, Kaufmann C, Riesel A, Grützmann R, Heinzel S, Elsner B, Bey K, Wagner M, Kathmann N, Klawohn J. Heart rate and heart rate variability in obsessive-compulsive disorder: Evidence from patients and unaffected first-degree relatives. Biol Psychol 2024; 189:108786. [PMID: 38531496 DOI: 10.1016/j.biopsycho.2024.108786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 03/16/2024] [Accepted: 03/22/2024] [Indexed: 03/28/2024]
Abstract
Altered heart rate (HR) and heart rate variability (HRV) are common observations in psychiatric disorders. Yet, few studies have examined these cardiac measures in obsessive-compulsive disorder (OCD). The current study aimed to investigate HR and HRV, indexed by the root mean square of successive differences (RMSSD) and further time domain indices, as putative biological characteristics of OCD. Electrocardiogram was recorded during a five-minute resting state. Group differences between patients with OCD (n = 96), healthy participants (n = 112), and unaffected first-degree relatives of patients with OCD (n = 47) were analyzed. As potential moderators of group differences, we examined the influence of age and medication, respectively. As results indicated, patients with OCD showed higher HR and lower HRV compared to healthy participants. These group differences were not moderated by age. Importantly, subgroup analyses showed that only medicated patients displayed lower HRV compared to healthy individuals, while HR alterations were evident in unmedicated patients. Regarding unaffected first-degree relatives, group differences in HRV remained at trend level. Further, an age-moderated group differentiation showed that higher HRV distinguished relatives from healthy individuals in young adulthood, whereas at higher age lower HRV was indicative of relatives. Both the role of familial risk and medication in HRV alterations need further elucidation. Pending future studies, alterations in HR and potentially HRV might serve as useful indices to characterize the pathophysiology of OCD.
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Affiliation(s)
- Franziska Jüres
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany.
| | - Christian Kaufmann
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany
| | - Anja Riesel
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany; Universität Hamburg, Department of Psychology, Hamburg, Germany
| | - Rosa Grützmann
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany; MSB Medical School Berlin, Department of Psychology, Berlin, Germany
| | - Stephan Heinzel
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany; Freie Universität Berlin, Department of Education and Psychology, Berlin, Germany; TU Dortmund University, Department of Educational Sciences and Psychology, Dortmund, Germany
| | - Björn Elsner
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany
| | - Katharina Bey
- University Hospital Bonn, Department of Psychiatry and Psychotherapy, Bonn, Germany
| | - Michael Wagner
- University Hospital Bonn, Department of Psychiatry and Psychotherapy, Bonn, Germany
| | - Norbert Kathmann
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany
| | - Julia Klawohn
- Humboldt-Universität zu Berlin, Department of Psychology, Berlin, Germany; MSB Medical School Berlin, Department of Medicine, Berlin, Germany
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