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Modeling the Effects of Attentional Cueing on Meditators

Training in meditation has been shown to affect functioning of several attentional subsystems, most prominently conflict monitoring, and to some extent orienting. These previous findings described the effects of cueing and manipulating stimulus congruency on response times and accuracies. However, c...

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Autores principales: van Vugt, Marieke K., van den Hurk, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241324/
https://www.ncbi.nlm.nih.gov/pubmed/28163794
http://dx.doi.org/10.1007/s12671-015-0464-x
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author van Vugt, Marieke K.
van den Hurk, Paul M.
author_facet van Vugt, Marieke K.
van den Hurk, Paul M.
author_sort van Vugt, Marieke K.
collection PubMed
description Training in meditation has been shown to affect functioning of several attentional subsystems, most prominently conflict monitoring, and to some extent orienting. These previous findings described the effects of cueing and manipulating stimulus congruency on response times and accuracies. However, changes in accuracy and response times can arise from several factors. Computational process models can be used to distinguish different factors underlying changes in accuracy and response times. When decomposed by means of the drift diffusion model, a general process model of decision making that has been widely used, both the congruency and cueing effects, is subserved by a change in decision thresholds. Meditators showed a modest overall increase in their decision threshold, which may reflect an ability to wait longer and collect more information before responding.
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spelling pubmed-52413242017-02-01 Modeling the Effects of Attentional Cueing on Meditators van Vugt, Marieke K. van den Hurk, Paul M. Mindfulness (N Y) Original Paper Training in meditation has been shown to affect functioning of several attentional subsystems, most prominently conflict monitoring, and to some extent orienting. These previous findings described the effects of cueing and manipulating stimulus congruency on response times and accuracies. However, changes in accuracy and response times can arise from several factors. Computational process models can be used to distinguish different factors underlying changes in accuracy and response times. When decomposed by means of the drift diffusion model, a general process model of decision making that has been widely used, both the congruency and cueing effects, is subserved by a change in decision thresholds. Meditators showed a modest overall increase in their decision threshold, which may reflect an ability to wait longer and collect more information before responding. Springer US 2016-01-09 2017 /pmc/articles/PMC5241324/ /pubmed/28163794 http://dx.doi.org/10.1007/s12671-015-0464-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Paper
van Vugt, Marieke K.
van den Hurk, Paul M.
Modeling the Effects of Attentional Cueing on Meditators
title Modeling the Effects of Attentional Cueing on Meditators
title_full Modeling the Effects of Attentional Cueing on Meditators
title_fullStr Modeling the Effects of Attentional Cueing on Meditators
title_full_unstemmed Modeling the Effects of Attentional Cueing on Meditators
title_short Modeling the Effects of Attentional Cueing on Meditators
title_sort modeling the effects of attentional cueing on meditators
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5241324/
https://www.ncbi.nlm.nih.gov/pubmed/28163794
http://dx.doi.org/10.1007/s12671-015-0464-x
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