Literature DB >> 21277914

Resting state EEG delta-beta coherence in relation to anxiety, behavioral inhibition, and selective attentional processing of threatening stimuli.

Peter Putman1.   

Abstract

Variability in human resting state electroencephalography (EEG) may reflect emotion regulation processes (for a review, see Knyazev, 2007). For instance, it has been suggested that correlation between slow (1-3 Hz) and fast (13-30 Hz) activity (or δ-β coherence) may reflect functional synchronization between limbic and cortical brain systems. Indirect support comes from several studies reporting relationships between δ-β coherence and subjectively reported behavioral inhibition and state anxiety. The present study sought to extend this work and tested the prediction that objectively, experimentally, measured threat-selective attention should also be related to δ-β coherence. EEG frequency band power and dot probe task performance were assessed in forty healthy women and results demonstrated a negative association between delta-beta coherence and automatic, anxiety-driven attentional avoidance of threatening pictorial stimuli. These first reported objective measures for cognitive-emotional behavior obtained in relation to delta-beta coherence provide additional support for the hypothesis that this EEG parameter may reflect emotion regulation processes and supports suggestions that δ-β coherence may be a useful tool in the experimental study of affect and psychopathology. In addition, results showed an unexpected negative association between δ-β coherence and self-reported trait anxiety (but no association with behavioral inhibition).
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21277914     DOI: 10.1016/j.ijpsycho.2011.01.011

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  29 in total

1.  Spontaneous EEG theta/beta ratio and delta-beta coupling in relation to attentional network functioning and self-reported attentional control.

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Journal:  Cogn Affect Behav Neurosci       Date:  2015-09       Impact factor: 3.282

Review 2.  Electroencephalogram Coherence Patterns in Autism: An Updated Review.

Authors:  Sophie Schwartz; Riley Kessler; Thomas Gaughan; Ashura W Buckley
Journal:  Pediatr Neurol       Date:  2016-10-28       Impact factor: 3.372

Review 3.  The dot-probe task to measure emotional attention: A suitable measure in comparative studies?

Authors:  Rianne van Rooijen; Annemie Ploeger; Mariska E Kret
Journal:  Psychon Bull Rev       Date:  2017-12

4.  Delta-beta coupling is associated with paternal caregiving behaviors during preschool.

Authors:  Reema Najjar; Rebecca J Brooker
Journal:  Int J Psychophysiol       Date:  2016-11-21       Impact factor: 2.997

5.  Delta-beta correlation predicts adaptive child emotion regulation concurrently and two years later.

Authors:  Sarah Myruski; Rohini Bagrodia; Tracy Dennis-Tiwary
Journal:  Biol Psychol       Date:  2021-11-17       Impact factor: 3.251

6.  Context differences in delta beta coupling are associated with neuroendocrine reactivity in infants.

Authors:  Rebecca J Brooker; Randi A Phelps; Richard J Davidson; H Hill Goldsmith
Journal:  Dev Psychobiol       Date:  2015-11-14       Impact factor: 3.038

7.  Distinct iEEG activity patterns in temporal-limbic and prefrontal sites induced by emotional intentionality.

Authors:  Neomi Singer; Ilana Podlipsky; Fabrizio Esposito; Hadas Okon-Singer; Fani Andelman; Svetlana Kipervasser; Miri Y Neufeld; Rainer Goebel; Itzhak Fried; Talma Hendler
Journal:  Cortex       Date:  2014-08-14       Impact factor: 4.027

8.  Behavioral inhibition and EEG delta-beta correlation in early childhood: Comparing a between-subjects and within-subjects approach.

Authors:  Kristie L Poole; Berenice Anaya; Koraly E Pérez-Edgar
Journal:  Biol Psychol       Date:  2019-10-16       Impact factor: 3.251

9.  Cross-frequency coupling of brain oscillations in studying motivation and emotion.

Authors:  Dennis J L G Schutter; Gennady G Knyazev
Journal:  Motiv Emot       Date:  2011-07-31

10.  Distinguishing Quantitative Electroencephalogram Findings between Adjustment Disorder and Major Depressive Disorder.

Authors:  Hyun-Ghang Jeong; Young-Hoon Ko; Changsu Han; Yong-Ku Kim; Sook-Haeng Joe
Journal:  Psychiatry Investig       Date:  2013-01-24       Impact factor: 2.505

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