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...

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Main Authors: Jiabao Lin, Xuan Cui, Xiaoying Dai, Yajue Chen, Lei Mo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC6117043?pdf=render
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spelling doaj-2c732fb50b70414693327b6c3693c80a2020-11-25T02:31:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01138e020307110.1371/journal.pone.0203071Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight.Jiabao LinXuan CuiXiaoying DaiYajue ChenLei MoCreative 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.http://europepmc.org/articles/PMC6117043?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Jiabao Lin
Xuan Cui
Xiaoying Dai
Yajue Chen
Lei Mo
spellingShingle Jiabao Lin
Xuan Cui
Xiaoying Dai
Yajue Chen
Lei Mo
Neural correlates of creative insight: Amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight.
PLoS ONE
author_facet Jiabao Lin
Xuan Cui
Xiaoying Dai
Yajue Chen
Lei Mo
author_sort Jiabao Lin
title 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_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_sort neural correlates of creative insight: amplitude of low-frequency fluctuation of resting-state brain activity predicts creative insight.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
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.
url http://europepmc.org/articles/PMC6117043?pdf=render
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