Literature DB >> 20096313

Frontal brain electrical asymmetry and cardiac vagal tone predict biased attention to social threat.

Vladimir Miskovic1, Louis A Schmidt.   

Abstract

Individual differences in attention biases for motivationally significant stimuli have been reported in clinical and normative populations. Few studies, however, have attempted to examine potential biological mechanisms underlying differences in the cognitive processing of emotional stimuli. The present study examined the extent to which two well-validated psychophysiological vulnerability markers of affective style [i.e., frontal electroencephalogram (EEG) asymmetry and cardiac vagal tone] predicted biased attention toward rapid presentations (approximately 250 ms) of angry and happy facial expressions. We found that right frontal EEG asymmetry and low cardiac vagal tone, taken together, predicted approximately 37% of the variability in attentional vigilance for angry faces. Frontal EEG asymmetry and cardiac vagal tone did not predict attention for happy faces, independently of each other. Our results provide preliminary evidence that two well established psychophysiological indicators of affective style bias early processing of motivationally salient stimuli. Copyright 2010 Elsevier B.V. All rights reserved.

Mesh:

Year:  2010        PMID: 20096313     DOI: 10.1016/j.ijpsycho.2009.12.015

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


  11 in total

1.  Negative affectivity and EEG asymmetry interact to predict emotional interference on attention in early school-aged children.

Authors:  Beylul Solomon; Laura O'Toole; Melanie Hong; Tracy A Dennis
Journal:  Brain Cogn       Date:  2014-04-24       Impact factor: 2.310

2.  The relation between electroencephalogram asymmetry and attention biases to threat at baseline and under stress.

Authors:  Koraly Pérez-Edgar; Autumn Kujawa; S Katherine Nelson; Claire Cole; Daniel J Zapp
Journal:  Brain Cogn       Date:  2013-06-25       Impact factor: 2.310

3.  Attention biases to threat link behavioral inhibition to social withdrawal over time in very young children.

Authors:  Koraly Pérez-Edgar; Bethany C Reeb-Sutherland; Jennifer Martin McDermott; Lauren K White; Heather A Henderson; Kathryn A Degnan; Amie A Hane; Daniel S Pine; Nathan A Fox
Journal:  J Abnorm Child Psychol       Date:  2011-08

Review 4.  Cardiac autonomic regulation in autism and Fragile X syndrome: a review.

Authors:  Jessica Klusek; Jane E Roberts; Molly Losh
Journal:  Psychol Bull       Date:  2014-11-24       Impact factor: 17.737

5.  Integrating affective and cognitive correlates of heart rate variability: A structural equation modeling approach.

Authors:  Sarah L Mann; Edward A Selby; Marsha E Bates; Richard J Contrada
Journal:  Int J Psychophysiol       Date:  2015-07-10       Impact factor: 2.997

6.  Personality development in the context of individual traits and parenting dynamics.

Authors:  Berenice Anaya; Koraly Pérez-Edgar
Journal:  New Ideas Psychol       Date:  2018-03-16

7.  Changes in frontal EEG coherence across infancy predict cognitive abilities at age 3: The mediating role of attentional control.

Authors:  Margaret Whedon; Nicole B Perry; Susan D Calkins; Martha Ann Bell
Journal:  Dev Psychol       Date:  2016-07-21

8.  Maternal sensitivity and infant response to frustration: the moderating role of EEG asymmetry.

Authors:  Margaret M Swingler; Nicole B Perry; Susan D Calkins; Martha Ann Bell
Journal:  Infant Behav Dev       Date:  2014-07-16

9.  An asymmetric inhibition model of hemispheric differences in emotional processing.

Authors:  Gina M Grimshaw; David Carmel
Journal:  Front Psychol       Date:  2014-05-23

10.  Optimizing Electrode Montages of Transcranial Direct Current Stimulation for Attentional Bias Modification in Early Abstinent Methamphetamine Users.

Authors:  Alireza Shahbabaie; Javad Hatami; Ali Farhoudian; Hamed Ekhtiari; Ali Khatibi; Michael A Nitsche
Journal:  Front Pharmacol       Date:  2018-08-10       Impact factor: 5.810

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