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Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity
The Stroop effect is one of the most robust and well-studied phenomena in cognitive psychology and cognitive neuroscience. However, little is known about the relationship between intrinsic brain activity and the individual differences of this effect. In the present study, we explored this issue by e...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418763/ https://www.ncbi.nlm.nih.gov/pubmed/25938442 http://dx.doi.org/10.1371/journal.pone.0124405 |
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author | Liu, Congcong Chen, Zhencai Wang, Ting Tang, Dandan Hitchman, Glenn Sun, Jiangzhou Zhao, Xiaoyue Wang, Lijun Chen, Antao |
author_facet | Liu, Congcong Chen, Zhencai Wang, Ting Tang, Dandan Hitchman, Glenn Sun, Jiangzhou Zhao, Xiaoyue Wang, Lijun Chen, Antao |
author_sort | Liu, Congcong |
collection | PubMed |
description | The Stroop effect is one of the most robust and well-studied phenomena in cognitive psychology and cognitive neuroscience. However, little is known about the relationship between intrinsic brain activity and the individual differences of this effect. In the present study, we explored this issue by examining whether resting-state functional magnetic resonance imaging (rs-fMRI) signals could predict individual differences in the Stroop effect of healthy individuals. A partial correlation analysis was calculated to examine the relationship between regional homogeneity (ReHo) and Stroop effect size, while controlling for age, sex, and framewise displacement (FD). The results showed positive correlations in the left inferior frontal gyrus (LIFG), the left insula, the ventral anterior cingulate cortex (vACC), and the medial frontal gyrus (MFG), and negative correlation in the left precentral gyrus (LPG). These results indicate the possible influences of the LIFG, the left insula, and the LPG on the efficiency of cognitive control, and demonstrate that the key nodes of default mode network (DMN) may be important in goal-directed behavior and/or mental effort during cognitive control tasks. |
format | Online Article Text |
id | pubmed-4418763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44187632015-05-12 Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity Liu, Congcong Chen, Zhencai Wang, Ting Tang, Dandan Hitchman, Glenn Sun, Jiangzhou Zhao, Xiaoyue Wang, Lijun Chen, Antao PLoS One Research Article The Stroop effect is one of the most robust and well-studied phenomena in cognitive psychology and cognitive neuroscience. However, little is known about the relationship between intrinsic brain activity and the individual differences of this effect. In the present study, we explored this issue by examining whether resting-state functional magnetic resonance imaging (rs-fMRI) signals could predict individual differences in the Stroop effect of healthy individuals. A partial correlation analysis was calculated to examine the relationship between regional homogeneity (ReHo) and Stroop effect size, while controlling for age, sex, and framewise displacement (FD). The results showed positive correlations in the left inferior frontal gyrus (LIFG), the left insula, the ventral anterior cingulate cortex (vACC), and the medial frontal gyrus (MFG), and negative correlation in the left precentral gyrus (LPG). These results indicate the possible influences of the LIFG, the left insula, and the LPG on the efficiency of cognitive control, and demonstrate that the key nodes of default mode network (DMN) may be important in goal-directed behavior and/or mental effort during cognitive control tasks. Public Library of Science 2015-05-04 /pmc/articles/PMC4418763/ /pubmed/25938442 http://dx.doi.org/10.1371/journal.pone.0124405 Text en © 2015 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Liu, Congcong Chen, Zhencai Wang, Ting Tang, Dandan Hitchman, Glenn Sun, Jiangzhou Zhao, Xiaoyue Wang, Lijun Chen, Antao Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title | Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title_full | Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title_fullStr | Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title_full_unstemmed | Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title_short | Predicting Stroop Effect from Spontaneous Neuronal Activity: A Study of Regional Homogeneity |
title_sort | predicting stroop effect from spontaneous neuronal activity: a study of regional homogeneity |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4418763/ https://www.ncbi.nlm.nih.gov/pubmed/25938442 http://dx.doi.org/10.1371/journal.pone.0124405 |
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