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Functional definition of the N450 event-related brain potential marker of conflict processing: a numerical stroop study

Overview of attention for article published in BMC Neuroscience, March 2012
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Title
Functional definition of the N450 event-related brain potential marker of conflict processing: a numerical stroop study
Published in
BMC Neuroscience, March 2012
DOI 10.1186/1471-2202-13-35
Pubmed ID
Authors

Dénes Szűcs, Fruzsina Soltész

Abstract

Several conflict processing studies aimed to dissociate neuroimaging phenomena related to stimulus and response conflict processing. However, previous studies typically did not include a paradigm-independent measure of either stimulus or response conflict. Here we have combined electro-myography (EMG) with event-related brain potentials (ERPs) in order to determine whether a particularly robust marker of conflict processing, the N450 ERP effect usually related to the activity of the Anterior Cingulate Cortex (ACC), is related to stimulus- or to response-conflict processing. EMG provided paradigm-independent measure of response conflict. In a numerical Stroop paradigm participants compared pairs of digits and pressed a button on the side where they saw the larger digit. 50% of digit-pairs were preceded by an effective cue which provided accurate information about the required response. 50% of trials were preceded by a neutral cue which did not communicate the side of response. EMG showed that response conflict was significantly larger in neutrally than in effectively cued trials. The N450 was similar when response conflict was high and when it was low. We conclude that the N450 is related to stimulus or abstract, rather than to response conflict detection/resolution. Findings may enable timing ACC conflict effects.

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The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Spain 1 <1%
United States 1 <1%
Switzerland 1 <1%
Unknown 100 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 28%
Researcher 20 19%
Student > Master 11 11%
Student > Bachelor 9 9%
Student > Postgraduate 7 7%
Other 13 13%
Unknown 15 14%
Readers by discipline Count As %
Psychology 43 41%
Neuroscience 10 10%
Medicine and Dentistry 7 7%
Engineering 5 5%
Agricultural and Biological Sciences 5 5%
Other 12 12%
Unknown 22 21%