An event-related potential investigation of error monitoring in adults with a history of psychosis

Chan, Chi Chuen; Trachik, Benjamin; Bedwell, Jeffrey S.

doi:10.1016/j.clinph.2014.11.016

Cited by 11 publications

(9 citation statements)

References 58 publications

(93 reference statements)

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“…For example, there is evidence of decreased frontolimbic functional connectivity and aberrant effective connectivity in gSAD relative to healthy controls (Ding et al, 2011, Hahn et al, 2011, Manning et al, 2015, Prater et al, 2013, Liao et al, 2010, Qiu et al, 2011, Zhang et al, 2015). Similarly, widespread alterations in task positive and negative systems (e.g., dorsal attention network, default mode network, visual network) have been shown in gSAD (Anteraper et al, 2014, Liao et al, 2010, Liu et al, 2015a, Liu et al, 2015b). Taken together, fMRI findings indicate aberrant resting-state activity may underlie a threat-sensitive system in gSAD.…”

Section: Introductionmentioning

confidence: 78%

“…Neuroimaging resting-state studies signify gSAD is associated with alterations in task positive and negative networks (Anteraper et al, 2014, Liao et al, 2010, Liu et al, 2015a, Liu et al, 2015b); however, fMRI cannot measure the fast dynamics of spontaneous oscillatory neural activity in frequency ranges associated with large-scale cortical networks (Hipp et al, 2012) due to its slow time resolution. EEG permits evaluation of ‘communication-through-coherence’, where the synchronization of oscillatory activity is believed to reflect effective communication structures (Fries, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…Consequently, the theta-dependent small-worldness may reflect increased efficiency in an inter-modal functional network associated with rumination or other maladaptive self-referential propensities. Nevertheless, taking into consideration neuroimaging findings of extensive abnormalities in task positive and negative systems (Anteraper et al, 2014, Liao et al, 2010, Liu et al, 2015a, Liu et al, 2015b), it is possible that theta-band connectivity represents cognitive processes beyond DMN.…”

Section: Discussionmentioning

confidence: 99%

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Resting-state theta band connectivity and graph analysis in generalized social anxiety disorder

Xing

Tadayonnejad

MacNamara

et al. 2017

NeuroImage: Clinical

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BackgroundFunctional magnetic resonance imaging (fMRI) resting-state studies show generalized social anxiety disorder (gSAD) is associated with disturbances in networks involved in emotion regulation, emotion processing, and perceptual functions, suggesting a network framework is integral to elucidating the pathophysiology of gSAD. However, fMRI does not measure the fast dynamic interconnections of functional networks. Therefore, we examined whole-brain functional connectomics with electroencephalogram (EEG) during resting-state.MethodsResting-state EEG data was recorded for 32 patients with gSAD and 32 demographically-matched healthy controls (HC). Sensor-level connectivity analysis was applied on EEG data by using Weighted Phase Lag Index (WPLI) and graph analysis based on WPLI was used to determine clustering coefficient and characteristic path length to estimate local integration and global segregation of networks.ResultsWPLI results showed increased oscillatory midline coherence in the theta frequency band indicating higher connectivity in the gSAD relative to HC group during rest. Additionally, WPLI values positively correlated with state anxiety levels within the gSAD group but not the HC group. Our graph theory based connectomics analysis demonstrated increased clustering coefficient and decreased characteristic path length in theta-based whole brain functional organization in subjects with gSAD compared to HC.ConclusionsTheta-dependent interconnectivity was associated with state anxiety in gSAD and an increase in information processing efficiency in gSAD (compared to controls). Results may represent enhanced baseline self-focused attention, which is consistent with cognitive models of gSAD and fMRI studies implicating emotion dysregulation and disturbances in task negative networks (e.g., default mode network) in gSAD.

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Section: Introductionmentioning

confidence: 78%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Resting-state theta band connectivity and graph analysis in generalized social anxiety disorder

Xing

Tadayonnejad

MacNamara

et al. 2017

NeuroImage: Clinical

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“…To elaborate on one example, Chan et al (2015) demonstrated how a standard performance-monitoring event-related potential paradigm can be used within an RDoC framework to examine Cognitive Control and Performance Monitoring systems. Adults with a history of psychosis and a control group completed a flanker task while undergoing EEG.…”

Section: Resultsmentioning

confidence: 99%

“…Research on Cognitive Systems has been considerable and diverse, with eighteen studies published on four of the six constructs within the domain (e.g., Cognitive Control: Lopez-Garcia et al ( 2016 ); Perception: Silverstein et al ( 2015 ); Attention: Kleinman et al ( 2015 ); and Working Memory: Francazio and Flessner ( 2015 )). To elaborate on one example, Chan et al ( 2015 ) demonstrated how a standard performance-monitoring event-related potential paradigm can be used within an RDoC framework to examine Cognitive Control and Performance Monitoring systems. Adults with a history of psychosis and a control group completed a flanker task while undergoing EEG.…”

Section: Resultsmentioning

confidence: 99%

Six Years of Research on the National Institute of Mental Health’s Research Domain Criteria (RDoC) Initiative: A Systematic Review

Carcone

Ruocco

2017

Front. Cell. Neurosci.

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Six years have passed since the National Institute of Mental Health (NIMH) in the United States launched the Research Domain Criteria (RDoC) initiative. The RDoC introduces a framework for research on the biology of mental illness that integrates research findings across multiple levels of information. The framework outlines constructs that represent specific quantifiable dimensions of behavior (e.g., responses to acute threat, cognitive control) and corresponding units of analysis that can be used to study the constructs, beginning at the levels of genes, molecules, cells, circuits and physiology, and moving up to behaviors and self-reports. In this systematic review, a literature search was conducted to synthesize empirical research published since the proposal of the framework that incorporated the RDoC. Forty-eight peer-reviewed scholarly articles met eligibility criteria for the review. Studies differed according to whether they analyzed RDoC constructs and units of analysis within vs. between clinically-diagnosed and non-psychiatric samples. The most commonly studied constructs were subsumed within the domains of Negative Valence Systems, Positive Valence Systems and Cognitive Systems, providing initial results which primarily connected genetics, brain circuits and physiology research findings with behavior and self-reports. Prospects for future research adopting the RDoC matrix and utilizing a dimensional approach to studying the biology of mental illness are discussed.

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Promise and Challenges with the Research Domain Criteria Framework

2018

Adult Psychopathology and Diagnosis, Eighth Edition

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An event-related potential investigation of error monitoring in adults with a history of psychosis

Abstract: Results suggest that disruptions in neural circuitry may underlie specific clinical symptoms across diagnostic categories.

Cited by 11 publications

References 58 publications

Resting-state theta band connectivity and graph analysis in generalized social anxiety disorder

Resting-state theta band connectivity and graph analysis in generalized social anxiety disorder

Six Years of Research on the National Institute of Mental Health’s Research Domain Criteria (RDoC) Initiative: A Systematic Review

Promise and Challenges with the Research Domain Criteria Framework

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