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 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 Evolving Concepts of the Schizophrenia Spectrum: A Research Domain Criteria Perspective

2021 ◽  
Vol 12 ◽  
Author(s):  
Bruce N. Cuthbert ◽  
Sarah E. Morris
Keyword(s):  
Psychotic Disorders ◽  
Diagnostic System ◽  
Research Domain Criteria ◽  
Diagnostic Categories ◽  
The Past ◽  
Schizophrenia Spectrum ◽  
Response Systems ◽  
Translational Research Program ◽  
Symptoms And Signs ◽  
Research Domain

Several trends intersecting over the past two decades have generated increasing debate as to how the concepts of schizophrenia, the schizophrenia spectrum, and the psychotic disorders spectrum should be regarded. These trends are reflected in various areas of research such as genomics, neuroimaging, and data-driven computational studies of multiple response systems. Growing evidence suggests that schizophrenia represents a broad and heterogenous syndrome, rather than a specific disease entity, that is part of a multi-faceted psychosis spectrum. Progress in explicating these various developments has been hampered by the dependence upon sets of symptoms and signs for determining a diagnosis, and by the reliance on traditional diagnostic categories in reviewing clinical research grants. To address these concerns, the U.S. National Institute of Mental Health initiated the Research Domain Criteria (RDoC) project, a translational research program that calls for studies designed in terms of empirically-based functions (such as cognitive control or reward learning) rather than diagnostic groups. RDoC is a research framework rather than an alternative diagnostic system, intended to provide data that can inform future nosological manuals. This commentary includes a brief summary of RDoC as it pertains to schizophrenia and psychotic spectra, examples of recent data that highlight the utility of the approach, and conclusions regarding the implications for evolving conceptualizations of serious mental illness.

Challenges of Fear Conditioning Research in the Age of RDoC

2017 ◽  
Vol 225 (3) ◽  
pp. 189-199 ◽  
Author(s):  
Tina B. Lonsdorf ◽  
Jan Richter
Keyword(s):  
Fear Conditioning ◽  
Clinical Diagnosis ◽  
Research Domain Criteria ◽  
Major Focus ◽  
The Future ◽  
Definition Of ◽  
Methodological Considerations ◽  
Research Domain

Abstract. As the criticism of the definition of the phenotype (i.e., clinical diagnosis) represents the major focus of the Research Domain Criteria (RDoC) initiative, it is somewhat surprising that discussions have not yet focused more on specific conceptual and procedural considerations of the suggested RDoC constructs, sub-constructs, and associated paradigms. We argue that we need more precise thinking as well as a conceptual and methodological discussion of RDoC domains and constructs, their interrelationships as well as their experimental operationalization and nomenclature. The present work is intended to start such a debate using fear conditioning as an example. Thereby, we aim to provide thought-provoking impulses on the role of fear conditioning in the age of RDoC as well as conceptual and methodological considerations and suggestions to guide RDoC-based fear conditioning research in the future.

The Psychophysiology of Anxiety and Mood Disorders

2017 ◽  
Vol 225 (3) ◽  
pp. 175-188 ◽  
Author(s):  
Peter J. Lang ◽  
Lisa M. McTeague ◽  
Margaret M. Bradley
Keyword(s):  
Mental Health ◽  
Heart Rate ◽  
Brain Function ◽  
Physiological Reactivity ◽  
Research Domain Criteria ◽  
Diagnostic Systems ◽  
Psychophysiological Reactivity ◽  
Diagnostic Categories ◽  
New Research ◽  
Research Domain

Abstract. Several decades of research are reviewed, assessing patterns of psychophysiological reactivity in anxiety patients responding to a fear/threat imagery challenge. Findings show substantive differences in these measures within principal diagnostic categories, questioning the reliability and categorical specificity of current diagnostic systems. Following a new research framework (US National Institute of Mental Health [NIMH], Research Domain Criteria [RDoC]; Cuthbert & Insel, 2013 ), dimensional patterns of physiological reactivity are explored in a large sample of anxiety and mood disorder patients. Patients’ responses (e.g., startle reflex, heart rate) during fear/threat imagery varied significantly with higher questionnaire measured “negative affect,” stress history, and overall life dysfunction – bio-marking disorder groups, independent of Diagnostic and Statistical Manuals (DSM). The review concludes with a description of new research, currently underway, exploring brain function indices (structure activation, circuit connectivity) as potential biological classifiers (collectively with the reflex physiology) of anxiety and mood pathology.

Trauma and mood disorders: comorbidity with post-traumatic stress disorder or overlapping symptoms?

2016 ◽  
Vol Ano 6 ◽  
pp. 38-42
Author(s):  
Andrea Feijó Mello ◽  
Euthymia B. Almeida Prado
Keyword(s):  
Mood Disorders ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Research Domain Criteria ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
Research Domain

O presente artigo discorre sobre a comorbidade entre transtorno bipolar (TB) e transtorno de estresse póstraumático (TEPT) e questiona sobre certos casos serem melhor avaliados à luz das novas teorias do Research Domain Criteria (RDoC), principalmente aqueles quadros de TEPT com sintomas disfóricos que podem ser classificados como TB, apesar de não preencherem critérios para tal. Nesse caso, questiona-se a comorbidade e propõe-se um aprofundamento da fisiopatologia dessa sintomatologia que está sobreposta. Clinicamente, esse olhar poderá facilitar o manejo farmacológico de pacientes graves com histórico de trauma.

Positive Mood States and Gambling Disorder

2019 ◽  
pp. 366-379
Author(s):  
Sarah W. Yip ◽  
Zu Wei Zhai ◽  
Iris M. Balodis ◽  
Marc N. Potenza
Keyword(s):  
Impulse Control ◽  
Gambling Disorder ◽  
Adult Population ◽  
Approach Motivation ◽  
Gambling Problems ◽  
Research Domain Criteria ◽  
Monetary Rewards ◽  
Neuroimaging Data ◽  
Positive Valence ◽  
Research Domain

Gambling problems are experienced by about 1% of the adult population, with higher estimates reported in adolescents. Both positive and negative motivations for gambling exist and may contribute to gambling problems. Positive valence disturbances involving how people process rewards, including monetary rewards relevant to gambling, have been reported in gambling disorder and have been associated with the disorder and clinically relevant measures relating to impaired impulse control. Positive valence systems as they relate to gambling disorder and clinically relevant features thereof are considered in this chapter. Findings from neuroimaging data related to the positive valence system constructs of approach motivation, initial and sustained/longer term responsiveness to reward, habit and reward learning are reviewed. Possible interactions between positive valence systems and other Research Domain Criteria (RDoC) systems are also discussed within the context of gambling disorder, as is how the application of an RDoC framework can be used to further understanding of gambling disorder.

scholarly journals Towards a contemporary approach for understanding personality pathology in developmental context: An integrative model

2021 ◽  
pp. 1-10
Author(s):  
Melody R. Altschuler ◽  
Robert F. Krueger
Keyword(s):  
Personality Disorders ◽  
Personality Pathology ◽  
Integrative Model ◽  
Research Domain Criteria ◽  
Developmental Context ◽  
Dimensional Classification ◽  
Developmental Theories ◽  
Underlying Mechanisms ◽  
Research Domain

Abstract Traditional categorical approaches to classifying personality disorders are limited in important ways, leading to a shift in the field to dimensional approaches to conceptualizing personality pathology. Different areas of psychology – personality, developmental, and psychopathology – can be leveraged to understand personality pathology by examining its structure, development, and underlying mechanisms. However, an integrative model that encompasses these distinct lines of inquiry has not yet been proposed. In order to address this gap, we review the latest evidence for dimensional classification of personality disorders based on structural models of maladaptive personality traits, provide an overview of developmental theories of pathological personality, and summarize the Research Domain Criteria (RDoC) initiative, which seeks to understand underlying mechanisms of psychopathology. We conclude by proposing an integrative model of personality pathology development that aims to elucidate the developmental pathways of personality pathology and its underlying mechanisms.

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