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Examining the effects of a modified SART when measuring mind‐wandering
OBJECTIVE: Mind‐wandering (MW) is defined as a shift of attention from external tasks toward internal thoughts and is popularly measured by the sustained attention to response task (SART). SART is able to capture MW, but cannot track the dynamics of mind‐wandering over time well. We thus attempted t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498071/ https://www.ncbi.nlm.nih.gov/pubmed/37469329 http://dx.doi.org/10.1002/brb3.3175 |
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author | liu, Yuqing Dong, Qin Yu, ChengHao Jin, YuTong Fang, ChenYuan Hu, Yu Zhou, Qiang |
author_facet | liu, Yuqing Dong, Qin Yu, ChengHao Jin, YuTong Fang, ChenYuan Hu, Yu Zhou, Qiang |
author_sort | liu, Yuqing |
collection | PubMed |
description | OBJECTIVE: Mind‐wandering (MW) is defined as a shift of attention from external tasks toward internal thoughts and is popularly measured by the sustained attention to response task (SART). SART is able to capture MW, but cannot track the dynamics of mind‐wandering over time well. We thus attempted to modify the sustained attention to response task paradigm (mSART) to capture the participant's mind‐wandering state over time and quantify the degree of mind‐wandering using the current behavioral data. METHODS: 179 participants from Wenzhou Medical University were recruited to participate in this experiment. The main changes to the experiment included (1) manipulating different no‐go stimuli frequencies to control the difficulty of the task and setting 9 modes; (2) extending the experiment time to 30 min; (3) allowing participants to correct errors by pressing the b key. Error rate, Mean RTs, RT CV, and d' were used to reflect MW. Analysis of covariance (ANCOVA) was performed. RESULTS: ANOVA was used to explore Mean RTs, RT CV and d’ for participants with different levels of mind‐wandering and significant differences were found (Mean RTs:Welch's F (2, 8606.04) = 579.00, p < .001, η(p) (2) = 0.03; RT CV:Welch's F (2, 198.11) = 69.93, p < .001, η(p) (2) = 0.18; d':F (2, 176) = 19.88, p < .001, η(p) (2) = 0.18). The 30‐min experiment was divided into six time windows, and mind‐wandering deepens over time. CONCLUSIONS: The mSART paradigm could quantify the extent of MW based on changes in the frequency at which the no‐go stimuli were presented and also revealed that the recommended length of the experiment was about 20 min. |
format | Online Article Text |
id | pubmed-10498071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104980712023-09-14 Examining the effects of a modified SART when measuring mind‐wandering liu, Yuqing Dong, Qin Yu, ChengHao Jin, YuTong Fang, ChenYuan Hu, Yu Zhou, Qiang Brain Behav Original Articles OBJECTIVE: Mind‐wandering (MW) is defined as a shift of attention from external tasks toward internal thoughts and is popularly measured by the sustained attention to response task (SART). SART is able to capture MW, but cannot track the dynamics of mind‐wandering over time well. We thus attempted to modify the sustained attention to response task paradigm (mSART) to capture the participant's mind‐wandering state over time and quantify the degree of mind‐wandering using the current behavioral data. METHODS: 179 participants from Wenzhou Medical University were recruited to participate in this experiment. The main changes to the experiment included (1) manipulating different no‐go stimuli frequencies to control the difficulty of the task and setting 9 modes; (2) extending the experiment time to 30 min; (3) allowing participants to correct errors by pressing the b key. Error rate, Mean RTs, RT CV, and d' were used to reflect MW. Analysis of covariance (ANCOVA) was performed. RESULTS: ANOVA was used to explore Mean RTs, RT CV and d’ for participants with different levels of mind‐wandering and significant differences were found (Mean RTs:Welch's F (2, 8606.04) = 579.00, p < .001, η(p) (2) = 0.03; RT CV:Welch's F (2, 198.11) = 69.93, p < .001, η(p) (2) = 0.18; d':F (2, 176) = 19.88, p < .001, η(p) (2) = 0.18). The 30‐min experiment was divided into six time windows, and mind‐wandering deepens over time. CONCLUSIONS: The mSART paradigm could quantify the extent of MW based on changes in the frequency at which the no‐go stimuli were presented and also revealed that the recommended length of the experiment was about 20 min. John Wiley and Sons Inc. 2023-07-20 /pmc/articles/PMC10498071/ /pubmed/37469329 http://dx.doi.org/10.1002/brb3.3175 Text en © 2023 The Authors. Brain and Behavior published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles liu, Yuqing Dong, Qin Yu, ChengHao Jin, YuTong Fang, ChenYuan Hu, Yu Zhou, Qiang Examining the effects of a modified SART when measuring mind‐wandering |
title | Examining the effects of a modified SART when measuring mind‐wandering |
title_full | Examining the effects of a modified SART when measuring mind‐wandering |
title_fullStr | Examining the effects of a modified SART when measuring mind‐wandering |
title_full_unstemmed | Examining the effects of a modified SART when measuring mind‐wandering |
title_short | Examining the effects of a modified SART when measuring mind‐wandering |
title_sort | examining the effects of a modified sart when measuring mind‐wandering |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10498071/ https://www.ncbi.nlm.nih.gov/pubmed/37469329 http://dx.doi.org/10.1002/brb3.3175 |
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