Literature DB >> 23248041

Individual differences in electrophysiological responses to performance feedback predict AB magnitude.

Mary H MaClean1, Karen M Arnell.   

Abstract

The attentional blink (AB) is observed when report accuracy for a second target (T2) is reduced if T2 is presented within approximately 500 ms of a first target (T1), but accuracy is relatively unimpaired at longer T1-T2 separations. The AB is thought to represent a transient cost of attending to a target, and reliable individual differences have been observed in its magnitude. Some models of the AB have suggested that cognitive control contributes to production of the AB, such that greater cognitive control is associated with larger AB magnitudes. Performance-monitoring functions are thought to modulate the strength of cognitive control, and those functions are indexed by event-related potentials in response to both endogenous and exogenous performance evaluation. Here we examined whether individual differences in the amplitudes to internal and external response feedback predict individual AB magnitudes. We found that electrophysiological responses to externally provided performance feedback, measured in two different tasks, did predict individual differences in AB magnitude, such that greater feedback-related N2 amplitudes were associated with larger AB magnitudes, regardless of the valence of the feedback.

Entities:  

Mesh:

Year:  2013        PMID: 23248041     DOI: 10.3758/s13415-012-0140-8

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.526


  51 in total

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2.  How reliable is the attentional blink? Examining the relationships within and between attentional blink tasks over time.

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3.  Personality predicts temporal attention costs in the attentional blink paradigm.

Authors:  Mary H Maclean; Karen M Arnell
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5.  Executive control processes of working memory predict attentional blink magnitude over and above storage capacity.

Authors:  Karen M Arnell; Kirk A Stokes; Mary H MacLean; Carleen Gicante
Journal:  Psychol Res       Date:  2008-12-16

6.  Too much control can hurt: a threaded cognition model of the attentional blink.

Authors:  Niels A Taatgen; Ion Juvina; Marc Schipper; Jelmer P Borst; Sander Martens
Journal:  Cogn Psychol       Date:  2009-02-12       Impact factor: 3.468

7.  Modulation of the error-related negativity by response conflict.

Authors:  Claudia Danielmeier; Jan R Wessel; Marco Steinhauser; Markus Ullsperger
Journal:  Psychophysiology       Date:  2009-07-01       Impact factor: 4.016

8.  The feedback correct-related positivity: sensitivity of the event-related brain potential to unexpected positive feedback.

Authors:  Clay B Holroyd; Kaivon L Pakzad-Vaezi; Olave E Krigolson
Journal:  Psychophysiology       Date:  2008-05-30       Impact factor: 4.016

9.  Individual differences in reinforcement learning: behavioral, electrophysiological, and neuroimaging correlates.

Authors:  Diane L Santesso; Daniel G Dillon; Jeffrey L Birk; Avram J Holmes; Elena Goetz; Ryan Bogdan; Diego A Pizzagalli
Journal:  Neuroimage       Date:  2008-07-02       Impact factor: 6.556

10.  Reward prediction error signals associated with a modified time estimation task.

Authors:  Clay B Holroyd; Olave E Krigolson
Journal:  Psychophysiology       Date:  2007-07-19       Impact factor: 4.016

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  2 in total

1.  Multiple measures of dispositional global/local bias predict attentional blink magnitude.

Authors:  Gillian Dale; Karen M Arnell
Journal:  Psychol Res       Date:  2014-07-11

Review 2.  Time to see the bigger picture: Individual differences in the attentional blink.

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

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