Literature DB >> 22281183

Resting EEG in alpha and beta bands predicts individual differences in attentional blink magnitude.

Mary H MacLean1, Karen M Arnell, Kimberly A Cote.   

Abstract

Accuracy for a second target (T2) is reduced when it is presented within 500 ms of a first target (T1) in a rapid serial visual presentation (RSVP) - an attentional blink (AB). There are reliable individual differences in the magnitude of the AB. Recent evidence has shown that the attentional approach that an individual typically adopts during a task or in anticipation of a task, as indicated by various measures, predicts individual differences in the AB deficit. It has yet to be observed whether indices of attentional approach when not engaged in a goal-directed task are also relevant to individual differences in the AB. The current studies investigated individual differences in the AB by examining their relationship with attention at rest using quantitative measures of EEG. Greater levels of alpha at rest were associated with larger AB magnitudes, where greater levels of beta at rest were associated with smaller AB magnitudes. Furthermore, individuals with more beta than alpha demonstrated a smaller AB effect than individuals with more alpha than beta. Our results suggest that greater attentional engagement at rest, when not engaged in a goal-directed task, is associated with smaller AB magnitudes.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22281183     DOI: 10.1016/j.bandc.2011.12.010

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  15 in total

1.  Alpha, beta: The rhythm of the attentional blink.

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2.  Differential Contributions of GABA Concentration in Frontal and Parietal Regions to Individual Differences in Attentional Blink.

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Review 4.  α-band oscillations, attention, and controlled access to stored information.

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5.  Alpha entrainment is responsible for the attentional blink phenomenon.

Authors:  Andrea Zauner; Robert Fellinger; Joachim Gross; Simon Hanslmayr; Kimron Shapiro; Walter Gruber; Sebastian Müller; Wolfgang Klimesch
Journal:  Neuroimage       Date:  2012-07-14       Impact factor: 6.556

6.  Dynamic correlations between heart and brain rhythm during Autogenic meditation.

Authors:  Dae-Keun Kim; Kyung-Mi Lee; Jongwha Kim; Min-Cheol Whang; Seung Wan Kang
Journal:  Front Hum Neurosci       Date:  2013-07-31       Impact factor: 3.169

7.  Individual Differences in Temporal Selective Attention as Reflected in Pupil Dilation.

Authors:  Charlotte Willems; Johannes Herdzin; Sander Martens
Journal:  PLoS One       Date:  2015-12-14       Impact factor: 3.240

Review 8.  Time to see the bigger picture: Individual differences in the attentional blink.

Authors:  Charlotte Willems; Sander Martens
Journal:  Psychon Bull Rev       Date:  2016-10

9.  Temporal predictability does not impact attentional blink performance: effects of fixed vs. random inter-trial intervals.

Authors:  Lucienne Shenfield; Vanessa Beanland; Deborah Apthorp
Journal:  PeerJ       Date:  2020-03-05       Impact factor: 2.984

10.  The impact of sleep loss on sustained and transient attention: an EEG study.

Authors:  Lucienne Shenfield; Vanessa Beanland; Ashleigh Filtness; Deborah Apthorp
Journal:  PeerJ       Date:  2020-05-04       Impact factor: 2.984

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