The Distractor Positivity Component and the Inhibition of Distracting Stimuli.

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Title: The Distractor Positivity Component and the Inhibition of Distracting Stimuli.
Authors: Gaspelin, Nicholas (AUTHOR), Lamy, Dominique (AUTHOR), Egeth, Howard E. (AUTHOR), Liesefeld, Heinrich R. (AUTHOR), Kerzel, Dirk (AUTHOR), Mandal, Ananya (AUTHOR), Müller, Matthias M. (AUTHOR), Schall, Jeffrey D. (AUTHOR), Schubö, Anna (AUTHOR), Slagter, Heleen A. (AUTHOR), Stilwell, Brad T. (AUTHOR), van Moorselaar, Dirk (AUTHOR)
Source: Journal of Cognitive Neuroscience. Nov2023, Vol. 35 Issue 11, p1693-1715. 23p.
Subjects: Stimulus & response (Psychology), Control (Psychology), Optimism, Cognitive ability, Learning strategies, Cycloserine
Abstract: There has been a long-lasting debate about whether salient stimuli, such as uniquely colored objects, have the ability to automatically distract us. To resolve this debate, it has been suggested that salient stimuli do attract attention but that they can be suppressed to prevent distraction. Some research supporting this viewpoint has focused on a newly discovered ERP component called the distractor positivity (PD), which is thought to measure an inhibitory attentional process. This collaborative review summarizes previous research relying on this component with a specific emphasis on how the PD has been used to understand the ability to ignore distracting stimuli. In particular, we outline how the PD component has been used to gain theoretical insights about how search strategy and learning can influence distraction. We also review alternative accounts of the cognitive processes indexed by the PD component. Ultimately, we conclude that the PD component is a useful tool for understanding inhibitory processes related to distraction and may prove to be useful in other areas of study related to cognitive control. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: The Distractor Positivity Component and the Inhibition of Distracting Stimuli.
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  Data: <searchLink fieldCode="AR" term="%22Gaspelin%2C+Nicholas%22">Gaspelin, Nicholas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lamy%2C+Dominique%22">Lamy, Dominique</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Egeth%2C+Howard+E%2E%22">Egeth, Howard E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liesefeld%2C+Heinrich+R%2E%22">Liesefeld, Heinrich R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kerzel%2C+Dirk%22">Kerzel, Dirk</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mandal%2C+Ananya%22">Mandal, Ananya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Müller%2C+Matthias+M%2E%22">Müller, Matthias M.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schall%2C+Jeffrey+D%2E%22">Schall, Jeffrey D.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Schubö%2C+Anna%22">Schubö, Anna</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Slagter%2C+Heleen+A%2E%22">Slagter, Heleen A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stilwell%2C+Brad+T%2E%22">Stilwell, Brad T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+Moorselaar%2C+Dirk%22">van Moorselaar, Dirk</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Cognitive+Neuroscience%22">Journal of Cognitive Neuroscience</searchLink>. Nov2023, Vol. 35 Issue 11, p1693-1715. 23p.
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  Data: There has been a long-lasting debate about whether salient stimuli, such as uniquely colored objects, have the ability to automatically distract us. To resolve this debate, it has been suggested that salient stimuli do attract attention but that they can be suppressed to prevent distraction. Some research supporting this viewpoint has focused on a newly discovered ERP component called the distractor positivity (PD), which is thought to measure an inhibitory attentional process. This collaborative review summarizes previous research relying on this component with a specific emphasis on how the PD has been used to understand the ability to ignore distracting stimuli. In particular, we outline how the PD component has been used to gain theoretical insights about how search strategy and learning can influence distraction. We also review alternative accounts of the cognitive processes indexed by the PD component. Ultimately, we conclude that the PD component is a useful tool for understanding inhibitory processes related to distraction and may prove to be useful in other areas of study related to cognitive control. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1162/jocn_a_02051
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        Text: English
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      – SubjectFull: Stimulus & response (Psychology)
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      – SubjectFull: Control (Psychology)
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      – SubjectFull: Optimism
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      – SubjectFull: Cognitive ability
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      – SubjectFull: Learning strategies
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      – SubjectFull: Cycloserine
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              Text: Nov2023
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