Tracking the neurodynamics of insight: A meta-analysis of neuroimaging studies
•Neural correlates of integrated insight were examined through quantitative meta-analysis.•The dynamic brain activation engaged at the four stages of the insight process was identified.•The general and phasic insight brain underpinnings were principally determined.•The roles of various networks in t...
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| Published in | Biological psychology Vol. 138; pp. 189 - 198 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Netherlands
Elsevier B.V
01.10.2018
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| Online Access | Get full text |
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| Abstract | •Neural correlates of integrated insight were examined through quantitative meta-analysis.•The dynamic brain activation engaged at the four stages of the insight process was identified.•The general and phasic insight brain underpinnings were principally determined.•The roles of various networks in the general and staged insight were isolated.
The nature of insight has been the interdisciplinary focus of scientific inquiry for over 100 years. Behavioral studies and biographical data suggest that insight, as a form of creative cognition, consists of at least four separate but intercorrelated stages as described by Wallas (1926). Yet no quantitative evidence was available for insight- or insight-stage-specific brain mechanisms that generalize across various insight tasks. The present work attempted, for one, to present an integrated and comprehensive description of the neural networks underlying insight and, for another, to identify dynamic brain mechanisms related to the four hypothetical stages of insight. To this end, we performed two quantitative meta-analyses: one for all available studies that used neuroimaging techniques to investigate insight, and the other for the phasic brain activation of insight drawn from task characteristics, using the activation likelihood estimation (ALE) approach. One key finding was evidence of an integrated network of insight-activated regions, including the right medial frontal gyrus, the left inferior frontal gyrus, the left amygdala and the right hippocampus. Importantly, various brain areas were variably recruited during the four stages. Based on the ALE results, the general and stage-specific neural correlates of insight were determined and potential implications are discussed. |
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| AbstractList | The nature of insight has been the interdisciplinary focus of scientific inquiry for over 100 years. Behavioral studies and biographical data suggest that insight, as a form of creative cognition, consists of at least four separate but intercorrelated stages as described by Wallas (1926). Yet no quantitative evidence was available for insight- or insight-stage-specific brain mechanisms that generalize across various insight tasks. The present work attempted, for one, to present an integrated and comprehensive description of the neural networks underlying insight and, for another, to identify dynamic brain mechanisms related to the four hypothetical stages of insight. To this end, we performed two quantitative meta-analyses: one for all available studies that used neuroimaging techniques to investigate insight, and the other for the phasic brain activation of insight drawn from task characteristics, using the activation likelihood estimation (ALE) approach. One key finding was evidence of an integrated network of insight-activated regions, including the right medial frontal gyrus, the left inferior frontal gyrus, the left amygdala and the right hippocampus. Importantly, various brain areas were variably recruited during the four stages. Based on the ALE results, the general and stage-specific neural correlates of insight were determined and potential implications are discussed. •Neural correlates of integrated insight were examined through quantitative meta-analysis.•The dynamic brain activation engaged at the four stages of the insight process was identified.•The general and phasic insight brain underpinnings were principally determined.•The roles of various networks in the general and staged insight were isolated. The nature of insight has been the interdisciplinary focus of scientific inquiry for over 100 years. Behavioral studies and biographical data suggest that insight, as a form of creative cognition, consists of at least four separate but intercorrelated stages as described by Wallas (1926). Yet no quantitative evidence was available for insight- or insight-stage-specific brain mechanisms that generalize across various insight tasks. The present work attempted, for one, to present an integrated and comprehensive description of the neural networks underlying insight and, for another, to identify dynamic brain mechanisms related to the four hypothetical stages of insight. To this end, we performed two quantitative meta-analyses: one for all available studies that used neuroimaging techniques to investigate insight, and the other for the phasic brain activation of insight drawn from task characteristics, using the activation likelihood estimation (ALE) approach. One key finding was evidence of an integrated network of insight-activated regions, including the right medial frontal gyrus, the left inferior frontal gyrus, the left amygdala and the right hippocampus. Importantly, various brain areas were variably recruited during the four stages. Based on the ALE results, the general and stage-specific neural correlates of insight were determined and potential implications are discussed. |
| Author | Yuan, Yuan Hommel, Bernhard Li, Feng Shen, Wangbing Luo, Jing Tong, Yu Liu, Chang |
| Author_xml | – sequence: 1 givenname: Wangbing surname: Shen fullname: Shen, Wangbing email: wangbingshpsy@163.com, w.shen@fsw.leidenuniv.nl organization: School of Public Administration, Business School, Hohai University, Nanjing, China – sequence: 2 givenname: Yu surname: Tong fullname: Tong, Yu organization: Jilin Normal University, Siping, China – sequence: 3 givenname: Feng surname: Li fullname: Li, Feng organization: School of Public Administration, Business School, Hohai University, Nanjing, China – sequence: 4 givenname: Yuan surname: Yuan fullname: Yuan, Yuan email: psychyy1989@163.com organization: School of Rehabilitation Science, Jiangsu Provincial key Laboratory of Special Children’s Impairment and Intervention, Nanjing Normal University of Special Education, Nanjing, China – sequence: 5 givenname: Bernhard orcidid: 0000-0003-4731-5125 surname: Hommel fullname: Hommel, Bernhard email: hommel@fsw.leidenuniv.nl organization: Cognitive Psychology Unit & Leiden Institute for Brain and Cognition, Institute of Psychology, Leiden University, Leiden, The Netherlands – sequence: 6 givenname: Chang surname: Liu fullname: Liu, Chang email: claman@163.com organization: School of Psychology, Nanjing Normal University, Nanjing 210097, #122, Ninghai Road, Beijing, China – sequence: 7 givenname: Jing surname: Luo fullname: Luo, Jing email: luoj@psych.ac.cn organization: Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing 100018, China |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30165082$$D View this record in MEDLINE/PubMed |
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| Snippet | •Neural correlates of integrated insight were examined through quantitative meta-analysis.•The dynamic brain activation engaged at the four stages of the... The nature of insight has been the interdisciplinary focus of scientific inquiry for over 100 years. Behavioral studies and biographical data suggest that... |
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| SubjectTerms | Brain - diagnostic imaging Brain - physiology Brain network Creative insight Creativity Humans Incubation Meta-analysis Nerve Net - diagnostic imaging Nerve Net - physiology Neuroimaging Thinking - physiology |
| Title | Tracking the neurodynamics of insight: A meta-analysis of neuroimaging studies |
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