scholarly journals State and trait anxiety related gamma oscillations in patients with anxiety within the Research Domain Criteria (RDoC) framework

2021 ◽  
Author(s):  
Kyoung Min Kim ◽  
Su Hyun Bong ◽  
Jun Won Kim
Keyword(s):  
Trait Anxiety ◽  
Gamma Oscillations ◽  
Neural Correlates ◽  
Self Report ◽  
Psychiatric Clinic ◽  
Research Domain Criteria ◽  
Quantitative Electroencephalography ◽  
Gamma Power ◽  
State And Trait Anxiety ◽  
Research Domain

Abstract Background Diagnosis of anxiety has relied primarily on self-report. This study examined using quantitative electroencephalography (qEEG) to assess the association between anxiety and underlying neural correlates. Methods A total of 41 participants who visited a psychiatric clinic underwent resting state EEG and completed the State-Trait Anxiety Inventory. The absolute power of six frequency bands were analyzed: delta (1–4 Hz), theta (4–8 Hz), alpha (8–10 Hz), fast alpha (10–13.5 Hz), beta (13.5–30 Hz), and gamma (30–80 Hz). Results State anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r = -0.484) and central (Cz, r = -0.523) regions, while trait anxiety scores were significantly negatively correlated with absolute gamma power in frontal (Fz, r = -0.523), central (Cz, r = -0.568), parietal (P7, r = -0.500; P8, r = -0.541), and occipital (O1, r = -0.510; O2, r = -0.480) regions. Conclusions The present study identified the significantly negative correlations between the anxiety level and gamma band power in fronto-central and posterior regions assessed at resting status. Further studies to confirm our findings and identify the neural correlates of anxiety are needed.

scholarly journals Behavioral and neurodevelopmental precursors to binge-type eating disorders: support for the role of negative valence systems

2015 ◽  
Vol 45 (14) ◽  
pp. 2921-2936 ◽  
Author(s):  
A. Vannucci ◽  
E. E. Nelson ◽  
D. M. Bongiorno ◽  
D. S. Pine ◽  
J. A. Yanovski ◽  
...  
Keyword(s):  
Eating Disorders ◽  
Developmental Trajectory ◽  
Self Report ◽  
Physiological Data ◽  
Research Domain Criteria ◽  
Risk Models ◽  
Eating Disorder Risk ◽  
Negative Valence ◽  
Research Domain

Background.Pediatric loss-of-control (LOC) eating is a robust behavioral precursor to binge-type eating disorders. Elucidating precursors to LOC eating and binge-type eating disorders may refine developmental risk models of eating disorders and inform interventions.Method.We review evidence within constructs of the Negative Valence Systems (NVS) domain, as specified by the Research Domain Criteria framework. Based on published studies, we propose an integrated NVS model of binge-type eating-disorder risk.Results.Data implicate altered corticolimbic functioning, neuroendocrine dysregulation, and self-reported negative affect as possible risk factors. However, neuroimaging and physiological data in children and adolescents are sparse, and most prospective studies are limited to self-report measures.Conclusions.We discuss a broad NVS framework for conceptualizing early risk for binge-type eating disorders. Future neural and behavioral research on the developmental trajectory of LOC and binge-type eating disorders is required.

Research Domain Criteria and OCD

2017 ◽  
Author(s):  
Eyal Kalanthroff ◽  
Gideon E. Anholt ◽  
Helen Blair Simpson
Keyword(s):  
Mental Health ◽  
United States ◽  
Mental Disorders ◽  
The United States ◽  
Self Report ◽  
Research Domain Criteria ◽  
Diagnostic Systems ◽  
Behavioral Measures ◽  
Research Domain

This chapter discusses the Research Domain Criteria (RDoC) project, an initiative of the National Institutes of Mental Health (NIMH) of the United States to develop for research purposes new ways of classifying mental disorders based on dimensions of observable behavior and neurobiological measures, and explores how the hallmark symptoms of OCD (obsessions, compulsions, and anxiety) can be mapped onto RDoC domains. Unlike current categorical diagnostic systems (e.g., DSM), RDoC seeks to integrate many levels of information (from genomics to self-report) to validate dimensions defined by neurobiology and behavioral measures that cut across current disorder categories. The chapter explores, for heuristic reasons, how the RDoC matrix might be used to elucidate the neurobehavioral domains of dysfunction that lead to the characteristic symptoms of OCD. It then selectively reviews the OCD literature from the perspective of the RDoC domains, aiming to guide future transdiagnostic studies to examine specific neurobehavioral domains across disorders.

scholarly journals Correlation between executive function and quantitative EEG in patients with anxiety by the Research Domain Criteria (RDoC) framework

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Su Hyun Bong ◽  
Tae Young Choi ◽  
Kyoung Min Kim ◽  
Jaewon Lee ◽  
Jun Won Kim
Keyword(s):  
Executive Function ◽  
Central Region ◽  
Word Association ◽  
Diagnostic System ◽  
Psychiatric Clinic ◽  
Research Domain Criteria ◽  
Delta Power ◽  
The Absolute ◽  
Design Fluency ◽  
Research Domain

Abstract The Research Domain Criteria (RDoC) project was proposed by the National Institute of Mental Health in 2010 to create a new diagnostic system including symptoms and data from genetics, neuroscience, physiology, and self-reports. The purpose of this study was to determine the link between anxiety and executive functions through quantitative electroencephalography (qEEG) based on the RDoC system. Nineteen-channel EEGs were recorded at the psychiatric clinic from 41 patients with symptoms of anxiety. The EEG power spectra were analysed. The Executive Intelligence Test (EXIT) including the K-WAIS-IV, Stroop, controlled oral word association, and the design fluency tests were performed. A partial, inversed, and significant association was observed between executive intelligence quotient (EIQ) and the absolute delta power in the central region. Similarly, a partial, inversed, and significant association was observed between design fluency and the absolute delta power in the left parietal area. Our findings suggest that the increase in delta power in the central region and left P3 was negatively correlated with the decrease in executive function. It is expected that the absolute delta power plays a specific role in the task-negative default mode network in the relationship between anxiety and executive function.

scholarly journals The neural correlates of two forms of spiritual love: an EEG study

2016 ◽  
Author(s):  
E. S. Louise Faber
Keyword(s):  
Neural Activity ◽  
Emotional Experience ◽  
Gamma Oscillations ◽  
Neural Correlates ◽  
Spiritual Practices ◽  
Loving Kindness ◽  
Beta Power ◽  
Delta Activity ◽  
Gamma Power ◽  
The Brain

AbstractSpiritual practices are gaining an increasingly wider audience as a means to enhance positive affect in healthy individuals and to treat neurological disorders such as anxiety and depression. The current study aimed to examine the neural correlates of two different forms of love generated by spiritual practices using EEG; love generated during a loving kindness meditation performed by Buddhist meditators, and love generated during prayer, in a separate group of participants from a Christian-based faith. The loving kindness meditation was associated with significant increases in delta, alpha 1, alpha 2 and beta power compared to baseline, while prayer induced significant increases in power of alpha 1 and gamma oscillations, together with an increase in the gamma: theta ratio. An increase in delta activity occurred during the loving kindness meditation but not during prayer. In contrast increases in theta, alpha 1, alpha 2, beta and gamma power were observed when comparing both types of practice to baseline, suggesting that increases in these frequency bands are the neural correlates of spiritual love, independent of the type of practice used to attain the state of this type of love. These findings show that both spiritual love practices are associated with widespread changes in neural activity across the brain, in particular at frequency ranges that have been implicated in positive emotional experience, integration of distributed neural activity, and changes in short-term and longterm neural circuitry.

scholarly journals Moderators of the Relationships Between State and Trait Anxiety and Depersonalization

2020 ◽  
Author(s):  
Noah J French ◽  
Jeremy William Eberle ◽  
Bethany Teachman
Keyword(s):  
Trait Anxiety ◽  
State Anxiety ◽  
Distress Tolerance ◽  
State Level ◽  
Self Report ◽  
Amazon Mechanical Turk ◽  
Anxiety State ◽  
Distress Intolerance ◽  
Trait Level ◽  
State And Trait Anxiety

Depersonalization is common in anxiety disorders, but little is known about the factors that influence co-occurring anxiety and depersonalization. We investigated trait moderators of the relationships between state and trait anxiety and depersonalization to better understand their co-occurrence and to identify potential points of intervention. Adults recruited on Amazon Mechanical Turk (N = 303) completed two computer tasks designed to increase variability in state anxiety and depersonalization as well as several self-report questionnaires. As hypothesized (preregistration: https://osf.io/xgazd/?view_only=56eba3dfb2b8454a97d3f66eb5217f7a), anxiety positively predicted depersonalization at both a state level, β = 0.43, 95% CI [0.39, 0.47], and a trait level, β = 0.60, 95% CI [0.51, 0.70]. Moreover, as hypothesized, the trait anxiety-trait depersonalization relationship was strengthened by greater anxiety sensitivity, β = 0.25, 95% CI [0.17, 0.34]; distress intolerance, β = 0.15, 95% CI [0.05, 0.25]; and negative interpretation bias for anxiety sensations (inverse transformed), β = -0.21, 95% CI [-0.30, -0.13], and for depersonalization sensations (inverse transformed), β = -0.27, 95% CI [-0.35, -0.19]. None of these hypothesized trait moderators significantly strengthened the state anxiety-state depersonalization relationship. These findings suggest that on a trait level, anxiety and depersonalization more frequently co-occur when people catastrophically misinterpret their symptoms or have lower emotional distress tolerance.

Quantifying Dispositional Fear as Threat Sensitivity: Development and Initial Validation of a Model-Based Scale Measure

Assessment ◽  
2019 ◽  
Vol 27 (3) ◽  
pp. 533-546 ◽  
Author(s):  
Mark D. Kramer ◽  
Christopher J. Patrick ◽  
John M. Hettema ◽  
Ashlee A. Moore ◽  
Chelsea K. Sawyers ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Discriminant Validity ◽  
Structural Model ◽  
Effective Means ◽  
Self Report ◽  
General Factor ◽  
Research Domain Criteria ◽  
Threat Sensitivity ◽  
Scale Measure ◽  
Research Domain

The Research Domain Criteria initiative aims to reorient the focus of psychopathology research toward biobehavioral constructs that cut across different modalities of measurement, including self-report and neurophysiology. Constructs within the Research Domain Criteria framework are intentionally transdiagnostic, with the construct of “acute threat,” for example, broadly relevant to clinical problems and associated traits involving fearfulness and stress reactivity. A potentially valuable referent for research on the construct of acute threat is a structural model of fear/fearlessness questionnaires known to predict variations in physiological threat reactivity as indexed by startle potentiation. The aim of the current work was to develop an efficient, item-based scale measure of the general factor of this structural model for use in studies of dispositional threat sensitivity and its relationship to psychopathology. A self-report scale consisting of 44 items from a conceptually relevant, nonproprietary questionnaire was first developed in a sample of 1,307 student participants, using the general factor of the fear/fearlessness model as a direct referent. This new Trait Fear scale was then evaluated for convergent and discriminant validity with measures of personality and psychopathology in a separate sample ( n = 213) consisting of community adults and undergraduate students. The strong performance of the scale in this criterion-validation sample suggests that it can provide an effective means for indexing variations along a dispositional continuum of fearfulness reflecting variations in sensitivity to acute threat.

Validating self-report measures of state and trait anxiety against a physiological measure

2001 ◽  
Vol 20 (3) ◽  
pp. 207-215 ◽  
Author(s):  
Ludmila Kantor ◽  
Norman S. Endler ◽  
Ronald J. Heslegrave ◽  
Nancy L. Kocovski
Keyword(s):  
Trait Anxiety ◽  
Self Report ◽  
Physiological Measure ◽  
State And Trait Anxiety

Research Domain Criteria (RDoC) and Emotion Regulation

2017 ◽  
pp. 79-110
Author(s):  
Michael Sun ◽  
Meghan Vinograd ◽  
Gregory A. Miller ◽  
Michelle G. Craske
Keyword(s):  
Emotion Regulation ◽  
Emotion Dysregulation ◽  
Process Model ◽  
Interdisciplinary Collaboration ◽  
Self Report ◽  
Research Domain Criteria ◽  
Research Framework ◽  
Psychological Constructs ◽  
Diagnostic And Statistical Manual ◽  
Research Domain

Chapter 5 describes the Research Domain Criteria (RDoC) framework as it pertains to emotion regulation, an in-progress research framework mapping psychological constructs onto discrete units of analysis (genes, molecules, cells, brain circuits, physiology, behavior, and self-report). It accommodates contemporary and developing emotion frameworks such as the Bradley-Lang Model and Gross-Ochsner Extended Process Model (EPM), while supplementing the clinically valuable, categorical account of psychological disorders featured in the Diagnostic and Statistical Manual of Mental Disorders (DSM). The RDoC has three objectives: Describing how psychological constructs are implemented mechanistically (biologically), increasing the explanatory ability as to why a biological system or neurobiological structure works, and increasing the predictive validity of pathological phenomena. This multi-componential research framework involves interdisciplinary collaboration to uncover new avenues for exploring the etiology, maintenance, and intervention to address one of the field’s greatest challenges: the effective treatment of emotion dysregulation.

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