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Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight
Creative insight has attracted much attention across cultures. Although previous studies have explored the neural correlates of creative insight by functional magnetic resonance imaging (fMRI), little is known about intrinsic resting-state brain activity associated with creative insight. In the pres...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117043/ https://www.ncbi.nlm.nih.gov/pubmed/30161187 http://dx.doi.org/10.1371/journal.pone.0203071 |
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author | Lin, Jiabao Cui, Xuan Dai, Xiaoying Chen, Yajue Mo, Lei |
author_facet | Lin, Jiabao Cui, Xuan Dai, Xiaoying Chen, Yajue Mo, Lei |
author_sort | Lin, Jiabao |
collection | PubMed |
description | Creative insight has attracted much attention across cultures. Although previous studies have explored the neural correlates of creative insight by functional magnetic resonance imaging (fMRI), little is known about intrinsic resting-state brain activity associated with creative insight. In the present study, we used amplitude of low-frequency fluctuation (ALFF) as an index in resting-state fMRI (rs-fMRI) to identify brain regions involved in individual differences in creative insight, which was measured by the response time of creative Chinese character chunk decomposition. Our results showed that ALFF in the superior frontal gyrus (SFG) positively predicted creative insight, while ALFF in the middle cingulate cortex/insula cortex (MCC/IC), superior temporal gyrus/angular gyrus (STG/AG), anterior cingulate cortex/caudate nucleus (ACC/CN), and culmen/declive (CU/DC) negatively predicted creative insight. Moreover, these findings indicate that spontaneous brain activity in multiple regions related to breaking mental sets, solutions exploring, evaluation of novel solutions, forming task-related associations, and emotion experience contributes to creative insight. In conclusion, the present study provides new evidence to further understand the cognitive processing and neural correlates of creative insight. |
format | Online Article Text |
id | pubmed-6117043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61170432018-09-16 Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight Lin, Jiabao Cui, Xuan Dai, Xiaoying Chen, Yajue Mo, Lei PLoS One Research Article Creative insight has attracted much attention across cultures. Although previous studies have explored the neural correlates of creative insight by functional magnetic resonance imaging (fMRI), little is known about intrinsic resting-state brain activity associated with creative insight. In the present study, we used amplitude of low-frequency fluctuation (ALFF) as an index in resting-state fMRI (rs-fMRI) to identify brain regions involved in individual differences in creative insight, which was measured by the response time of creative Chinese character chunk decomposition. Our results showed that ALFF in the superior frontal gyrus (SFG) positively predicted creative insight, while ALFF in the middle cingulate cortex/insula cortex (MCC/IC), superior temporal gyrus/angular gyrus (STG/AG), anterior cingulate cortex/caudate nucleus (ACC/CN), and culmen/declive (CU/DC) negatively predicted creative insight. Moreover, these findings indicate that spontaneous brain activity in multiple regions related to breaking mental sets, solutions exploring, evaluation of novel solutions, forming task-related associations, and emotion experience contributes to creative insight. In conclusion, the present study provides new evidence to further understand the cognitive processing and neural correlates of creative insight. Public Library of Science 2018-08-30 /pmc/articles/PMC6117043/ /pubmed/30161187 http://dx.doi.org/10.1371/journal.pone.0203071 Text en © 2018 Lin 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lin, Jiabao Cui, Xuan Dai, Xiaoying Chen, Yajue Mo, Lei Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title | Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title_full | Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title_fullStr | Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title_full_unstemmed | Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title_short | Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
title_sort | neural correlates of creative insight: amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117043/ https://www.ncbi.nlm.nih.gov/pubmed/30161187 http://dx.doi.org/10.1371/journal.pone.0203071 |
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