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Chen Z, Itier RJ. No association between error-related ERPs and trait anxiety in a nonclinical sample: Convergence across analytical methods including mass-univariate statistics. Psychophysiology 2024:e14645. [PMID: 38978166 DOI: 10.1111/psyp.14645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 06/20/2024] [Accepted: 06/21/2024] [Indexed: 07/10/2024]
Abstract
Enhanced error monitoring, as indexed by increased amplitude of the error-related negativity (ERN) event-related potential (ERP) component, has been suggested to reflect a vulnerability neuro-marker of anxiety disorders. Another error-related ERP component is the error positivity (Pe), which reflects late-stage error processing. The associations between heightened ERN and Pe amplitudes and anxiety levels in the nonclinical population have been inconsistent. In this preregistered study, we examined the association between anxiety, ERN, and Pe, using different analytical methods (mass-univariate analyses, MUAs and conventional analyses), self-reported anxiety scales (STAI and STICSA), and trial numbers (all correct trials and equal numbers of correct and error trials). In a sample of 82 healthy adults, both conventional and MUAs demonstrated a robust enhancement of the ERN and Pe to errors relative to the correct-response ERPs. However, the mass-univariate approach additionally unveiled a wider array of electrodes and a longer effect duration for this error enhancement. Across the analytic methods, the results showed a lack of consistent correlation between trait anxiety and error-related ERPs. Findings were not modulated by trial numbers, analyses, or anxiety scales. The present results suggest a lack of enhancement of error monitoring by anxious traits in individuals with subclinical anxiety and those with clinical anxiety but without a clinical diagnosis. Importantly, the absence of such correlation questions the validity of the ERN as a neural marker for anxiety disorders. Future studies that investigate neuro-markers of anxiety may explore alternative task designs and employ robust statistics to provide a more comprehensive understanding of anxiety vulnerability.
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Affiliation(s)
- Zelin Chen
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada
| | - Roxane J Itier
- Department of Psychology, University of Waterloo, Waterloo, Ontario, Canada
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Clayson PE. Beyond single paradigms, pipelines, and outcomes: Embracing multiverse analyses in psychophysiology. Int J Psychophysiol 2024; 197:112311. [PMID: 38296000 DOI: 10.1016/j.ijpsycho.2024.112311] [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: 10/01/2023] [Revised: 01/02/2024] [Accepted: 01/24/2024] [Indexed: 02/10/2024]
Abstract
Psychophysiological research is an inherently complex undertaking due to the nature of the data, and its analysis is characterized by many decision points that shape the final dataset and a study's findings. These decisions create a "multiverse" of possible outcomes, and each decision from study conceptualization to statistical analysis can lead to different results and interpretations. This review describes the concept of multiverse analyses, a methodological approach designed to understand the impact of different decisions on the robustness of a study's findings and interpretation. The emphasis is on transparently showcasing different reasonable approaches for constructing a final dataset and on highlighting the influence of various decision points, from experimental design to data processing and outcome selection. For example, the choice of an experimental task can significantly impact event-related brain potential (ERP) scores or skin conductance responses (SCRs), and different tasks might elicit unique variances in each measure. This review underscores the importance of transparently embracing the flexibility inherent in psychophysiological research and the potential consequences of not understanding the fragility or robustness of experimental findings. By navigating the intricate terrain of the psychophysiological multiverse, this review serves as an introduction, helping researchers to make informed decisions, improve the collective understanding of psychophysiological findings, and push the boundaries of the field.
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Affiliation(s)
- Peter E Clayson
- Department of Psychology, University of South Florida, Tampa, FL, USA.
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Umemoto A, Zhou Z, Millon EM, Koshy CS, Taylor SM, Spann MN, Monk C, Marsh R, Rosellini AJ, Auerbach RP. Intergenerational transmission of cognitive control capacity among children at risk for depression. Biol Psychol 2023; 182:108652. [PMID: 37516422 PMCID: PMC10528753 DOI: 10.1016/j.biopsycho.2023.108652] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Revised: 07/23/2023] [Accepted: 07/25/2023] [Indexed: 07/31/2023]
Abstract
A maternal history of major depressive disorder (MDD) is a well-known risk factor for depression in offspring. However, the mechanism through which familial risk is transmitted remains unclear. Cognitive control alterations are common in MDD, and thus, the current study investigated whether altered control capacity is transmitted intergenerationally, and whether it then contributes to the developmental pathways through which depression is passed from mothers to children. We recruited children (N = 65) ages 4-10-years-old, of which 47.7 % (n = 31) reported a maternal history of MDD, and their biological mother (N = 65). Children performed a child-friendly Go/NoGo task while electroencephalography (EEG) data were recorded, and mothers performed a Flanker task. Children exhibited heightened sensitivity to error versus correct responses, which was characterized by an error-related negativity (ERN), error positivity (Pe) as well as prominent delta and frontal midline theta (FMT) oscillations. Interestingly, worse maternal performance on the Flanker task associated with an increased Go/NoGo error rate and a smaller ERN and Pe in children. However, there was no association between maternal or child control indices with child depression symptoms. Our results suggest a familial influence of cognitive control capacity in mother-child dyads, but it remains unclear whether this confers risk for depressive symptoms in children. Further research is necessary to determine whether alterations in cognitive control over time may influence symptom development in at-risk children.
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Affiliation(s)
- Akina Umemoto
- Department of Psychiatry, Columbia University, New York, NY, USA
| | - Zhixin Zhou
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, USA
| | - Emma M Millon
- Department of Psychiatry, Columbia University, New York, NY, USA; Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Christina S Koshy
- Department of Counseling and Clinical Psychology, Teachers College, Columbia University, New York, NY, USA
| | - Sydney M Taylor
- Department of Psychiatry, Columbia University, New York, NY, USA; Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Marisa N Spann
- Department of Psychiatry, Columbia University, New York, NY, USA; Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Catherine Monk
- Department of Psychiatry, Columbia University, New York, NY, USA; Department of Obstetrics and Gynecology, Columbia University, New York, NY, USA; Division of Behavioral Medicine, New York State Psychiatric Institute, New York, NY, USA
| | - Rachel Marsh
- Department of Psychiatry, Columbia University, New York, NY, USA; Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | | | - Randy P Auerbach
- Department of Psychiatry, Columbia University, New York, NY, USA; Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, NY, USA; Division of Clinical Developmental Neuroscience, Sackler Institute, New York, NY, USA.
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Dell'Acqua C, Hajcak G, Amir N, Santopetro NJ, Brush CJ, Meyer A. Error-related brain activity: A time-domain and time-frequency investigation in pediatric obsessive-compulsive disorder. Psychophysiology 2023; 60:e14216. [PMID: 36332634 DOI: 10.1111/psyp.14216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 10/18/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022]
Abstract
Increased error-related negativity (ERN), a measure of error monitoring, has been suggested as a biomarker of obsessive-compulsive disorder (OCD). Additional insight into error monitoring is possible using time-frequency decomposition of electroencephalographic (EEG) data, as it allows disentangling the brain's parallel processing of information. Greater error-related theta is thought to reflect an error detection signal, while delta activity may reflect more elaborative post-detection processes (i.e., strategic adjustments). Recent investigations show that decreased error-related alpha may index attentional engagement following errors; additionally, increases and decreases in error-related beta could reflect motor inhibition and motor preparation, respectively. However, time-frequency dynamics of error monitoring in OCD are largely unknown. The present study examined time-frequency theta, delta, alpha and beta power in early adolescents with OCD using a data-driven, cluster-based approach. The aim was to explore electrocortical measures of error monitoring in early adolescents with (n = 27, 15 females) and without OCD (n = 27, 14 females) during an arrowhead version of the flanker task while EEG activity was recorded. Results indicated that the OCD group was characterized by increased ERN and error-related theta, as well as reduced error-related beta power decrease (i.e., greater power) compared to participants without OCD. Greater error-related beta explained variance in OCD over and above the ERN and error-related theta. By examining separate time-frequency measures, the present study provides novel insights into the dynamics of error monitoring, suggesting that pediatric OCD may be characterized by enhanced error monitoring (i.e., greater theta power) and post-error inhibition (i.e., reduced beta power decrease).
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Affiliation(s)
- Carola Dell'Acqua
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of General Psychology, University of Padua, Padua, Italy
- Padova Neuroscience Center (PNC), University of Padua, Padua, Italy
| | - Greg Hajcak
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of Biomedical Sciences, Florida State University, Tallahassee, Florida, USA
| | - Nader Amir
- Department of Psychology, San Diego State University, San Diego, California, USA
| | | | - Christopher J Brush
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
- Department of Movement Sciences, University of Idaho, Moscow, Idaho, USA
| | - Alexandria Meyer
- Department of Psychology, Florida State University, Tallahassee, Florida, USA
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Riesel A, Härpfer K, Thoma L, Kathmann N, Klawohn J. Associations of neural error-processing with symptoms and traits in a dimensional sample recruited across the obsessive-compulsive spectrum. Psychophysiology 2023; 60:e14164. [PMID: 36030541 DOI: 10.1111/psyp.14164] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2021] [Revised: 06/24/2022] [Accepted: 07/21/2022] [Indexed: 01/04/2023]
Abstract
The error-related negativity (ERN), a neural response to errors, has been associated with several forms of psychopathology and assumed to represent a neural risk marker for obsessive-compulsive disorder (OCD) and anxiety disorders. Yet, it is still unknown which specific symptoms or traits best explain ERN variation. This study investigated performance-monitoring in participants (N = 100) recruited across a spectrum of obsessive-compulsive characteristics (n = 26 patients with OCD; n = 74 healthy participants including n = 24 with low, n = 24 with medium, and n = 26 with high OC-characteristics). Several compulsivity- and anxiety-associated characteristics were assessed and submitted to exploratory principal axis factor analysis. Associations of raw measures and derived factors with ERN and correct-related negativity (CRN) were examined. Patients with OCD showed increased ERN amplitudes compared to healthy participants. The ERN was associated with a variety of traits related to anxiety and negative affect. Factor analysis results revealed a most prominent association of the ERN with a composite measure of anxiety and neuroticism, whereas the CRN was specifically associated with compulsivity. Results support differential associations for the ERN and CRN and demonstrate that a dimensional recruitment approach and use of composite measures can improve our understanding of characteristics underlying variation in neural performance monitoring.
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Affiliation(s)
- Anja Riesel
- Department of Psychology, Universität Hamburg, Hamburg, Germany
| | - Kai Härpfer
- Department of Psychology, Universität Hamburg, Hamburg, Germany
| | - Lars Thoma
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Norbert Kathmann
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Julia Klawohn
- Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany.,Department of Medicine, MSB Medical School Berlin, Berlin, Germany
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Dell'Acqua C, Hajcak G, Amir N, Santopetro NJ, Brush CJ, Meyer A. Error-related brain activity in pediatric major depressive disorder: An ERP and time-frequency investigation. Int J Psychophysiol 2023; 184:100-109. [PMID: 36638913 DOI: 10.1016/j.ijpsycho.2023.01.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 01/02/2023] [Accepted: 01/05/2023] [Indexed: 01/11/2023]
Abstract
BACKGROUND The error-related negativity (ERN) reflects individual differences in error monitoring. However, findings on the ERN in adult and adolescent depression have been inconsistent. Analyzing electroencephalographic (EEG) data in both the time- and time-frequency domain can be useful to better quantify neural response to errors. The present study aimed at examining electrocortical measures of error monitoring in early adolescents with and without depression. METHOD EEG activity was collected during an arrowhead version of the flanker task in 29 (25 females) early adolescents with depression and 34 without MDD (29 females). RESULTS The depression group showed reduced ERN amplitude, reduced error-related theta power and increased error-related beta power compared to the control group. When all variables that related to MDD diagnosis were considered simultaneously, both theta and beta power, but not the ERN, were independently related to an increased likelihood of being diagnosed with depression. CONCLUSIONS By examining both time-domain and separate time-frequency measures, the present study provided novel evidence on error monitoring alterations in youth depression, suggesting that depression during adolescence may be characterized by reduced error monitoring (i.e., reduced ERN and error-related theta) and post-error inhibition (i.e., greater error-related beta power). These results support that time-frequency measures might be better suited for examining error-related neural activity in MDD relative to time-domain measures.
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Affiliation(s)
- C Dell'Acqua
- Department of Psychology, Florida State University, Tallahassee, USA; Department of General Psychology, University of Padua, Padua, Italy; Padova Neuroscience Center (PNC), University of Padua, Padua, Italy.
| | - G Hajcak
- Department of Psychology, Florida State University, Tallahassee, USA; Department of Biomedical Sciences, Florida State University, Tallahassee, USA
| | - N Amir
- Department of Psychology, San Diego State University, San Diego, USA
| | - N J Santopetro
- Department of Psychology, Florida State University, Tallahassee, USA
| | - C J Brush
- Department of Psychology, Florida State University, Tallahassee, USA; Department of Movement Sciences, University of Idaho, Moscow, ID, USA
| | - A Meyer
- Department of Psychology, Florida State University, Tallahassee, USA
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Vila-Merkle H, González-Martínez A, Campos-Jiménez R, Martínez-Ricós J, Teruel-Martí V, Lloret A, Blasco-Serra A, Cervera-Ferri A. Sex differences in amygdalohippocampal oscillations and neuronal activation in a rodent anxiety model and in response to infralimbic deep brain stimulation. Front Behav Neurosci 2023; 17:1122163. [PMID: 36910127 PMCID: PMC9995972 DOI: 10.3389/fnbeh.2023.1122163] [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: 12/12/2022] [Accepted: 02/09/2023] [Indexed: 02/25/2023] Open
Abstract
Introduction Depression and anxiety are highly comorbid mental disorders with marked sex differences. Both disorders show altered activity in the amygdala, hippocampus, and prefrontal cortex. Infralimbic deep brain stimulation (DBS-IL) has anxiolytic and antidepressant effects, but the underlying mechanisms remain unclear. We aimed to contribute to understanding sex differences in the neurobiology of these disorders. Methods In male and female rats, we recorded neural oscillations along the dorsoventral axis of the hippocampus and the amygdala in response to an anxiogenic drug, FG-7142. Following this, we applied DBS-IL. Results Surprisingly, in females, the anxiogenic drug failed to induce most of the changes observed in males. We found sex differences in slow, delta, theta, and beta oscillations, and the amygdalo-hippocampal communication in response to FG-7142, with modest changes in females. Females had a more prominent basal gamma, and the drug altered this band only in males. We also analyzed c-Fos expression in both sexes in stress-related structures in response to FG-7142, DBS-IL, and combined interventions. With the anxiogenic drug, females showed reduced expression in the nucleus incertus, amygdala, septohippocampal network, and neocortical levels. In both experiments, the DBS-IL reversed FG-7142-induced effects, with a more substantial effect in males than females. Discussion Here, we show a reduced response in female rats which contrasts with the higher prevalence of anxiety in women but is consistent with other studies in rodents. Our results open compelling questions about sex differences in the neurobiology of anxiety and depression and their study in animal models.
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Affiliation(s)
- Hanna Vila-Merkle
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Alicia González-Martínez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Rut Campos-Jiménez
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Joana Martínez-Ricós
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Vicent Teruel-Martí
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
| | - Ana Lloret
- Department of Physiology, Faculty of Medicine, Health Research Institute INCLIVA, CIBERFES, University of Valencia, Valencia, Spain
| | - Arantxa Blasco-Serra
- Study Group for the Anatomical Substrate of Pain and Analgesia (GESADA) Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine and Odontology, University of Valencia, Valencia, Spain
| | - Ana Cervera-Ferri
- Neuronal Circuits Laboratory, Department of Human Anatomy and Embryology, Faculty of Medicine, University of Valencia, Valencia, Spain
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The data-processing multiverse of event-related potentials (ERPs): A roadmap for the optimization and standardization of ERP processing and reduction pipelines. Neuroimage 2021; 245:118712. [PMID: 34800661 DOI: 10.1016/j.neuroimage.2021.118712] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 09/27/2021] [Accepted: 11/04/2021] [Indexed: 11/20/2022] Open
Abstract
In studies of event-related brain potentials (ERPs), numerous decisions about data processing are required to extract ERP scores from continuous data. Unfortunately, the systematic impact of these choices on the data quality and psychometric reliability of ERP scores or even ERP scores themselves is virtually unknown, which is a barrier to the standardization of ERPs. The aim of the present study was to optimize processing pipelines for the error-related negativity (ERN) and error positivity (Pe) by considering a multiverse of data processing choices. A multiverse analysis of a data processing pipeline examines the impact of a large set of different reasonable choices to determine the robustness of effects, such as the impact of different decisions on between-trial standard deviations (i.e., data quality) and between-condition differences (i.e., experimental effects). ERN and Pe data from 298 healthy young adults were used to determine the impact of different methodological choices on data quality and experimental effects (correct vs. error trials) at several key stages: highpass filtering, lowpass filtering, ocular artifact correction, reference, baseline adjustment, scoring sensors, and measurement procedure. This multiverse analysis yielded 3,456 ERN scores and 576 Pe scores per person. An optimized pipeline for ERN included a 15 Hz lowpass filter, ICA-based ocular artifact correction, and a region of interest (ROI) approach to scoring. For Pe, the optimized pipeline included a 0.10 Hz highpass filter, 30 Hz lowpass filter, regression-based ocular artifact correction, a -200 to 0 ms baseline adjustment window, and an ROI approach to scoring. The multiverse approach can be used to optimize pipelines for eventual standardization, which would support efforts toward establishing normative ERP databases. The proposed process of analyzing the data-processing multiverse of ERP scores paves the way for better refinement, identification, and selection of data processing parameters, ultimately improving the precision and utility of ERPs.
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Michael JA, Wang M, Kaur M, Fitzgerald PB, Fitzgibbon BM, Hoy KE. EEG correlates of attentional control in anxiety disorders: A systematic review of error-related negativity and correct-response negativity findings. J Affect Disord 2021; 291:140-153. [PMID: 34038831 DOI: 10.1016/j.jad.2021.04.049] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Revised: 03/08/2021] [Accepted: 04/26/2021] [Indexed: 12/25/2022]
Abstract
BACKGROUND Anxiety disorders are highly prevalent and cause substantial personal, social and economic burden. Altered attentional control has been shown to be present across anxiety disorders and is associated with specific changes in brain activity which can be recorded by electroencephalogram (EEG). These include changes in the EEG markers of error-related negativity (ERN) and correct-response negativity (CRN), both believed to reflect response monitoring and attentional control pathophysiology in anxiety. The aim of this review was to systematically assess the research on ERN and CRN in attentional control in individuals with clinical anxiety and healthy controls, across emotional and non-emotional attentional control. METHODS A comprehensive literature search was conducted for studies published prior to October 22nd, 2020. Details of the protocol for this systematic review were registered on PROSPERO (CRD42019144885). RESULTS 66 studies had their data extracted. All 66 studies measured ERN, with 85% finding significantly increased ERN amplitudes associated with clinical anxiety. Only 44 of the extracted studies analysed CRN and only ~20% of these found significant changes in CRN amplitude associated with individuals with clinical anxiety. LIMITATIONS There were several anxiety disorders that had either limited literature (i.e. specific phobia, separation anxiety disorder or agoraphobia) or nil literature (i.e. selective mutism) available. No extracted studies included samples of older adults (i.e. aged 60+ years), and only six extracted studies included measures of emotional attentional control. CONCLUSIONS Findings indicate the promising utility of ERN of attentional control as a robust, transdiagnostic trait marker of clinical anxiety.
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Affiliation(s)
- Jessica A Michael
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia.
| | - Michael Wang
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Manreena Kaur
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia; Neuroscience Research Australia, Sydney, New South Wales, Australia; School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia
| | - Paul B Fitzgerald
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Bernadette M Fitzgibbon
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
| | - Kate E Hoy
- Epworth Centre for Innovation in Mental Health, Epworth Healthcare and Department of Psychiatry, Monash University, 888 Toorak Rd, Camberwell, Victoria, Australia
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Clayson PE, Baldwin SA, Larson MJ. Evaluating the internal consistency of subtraction‐based and residualized difference scores: Considerations for psychometric reliability analyses of event‐related potentials. Psychophysiology 2021; 58:e13762. [DOI: 10.1111/psyp.13762] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Peter E. Clayson
- Department of Psychology University of South Florida Tampa FL USA
| | | | - Michael J. Larson
- Department of Psychology Brigham Young University Provo UT USA
- Neuroscience Center Brigham Young University Provo UT USA
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