TY - JOUR
T1 - Cortical Networks of Creative Ability Trace Gene Expression Profiles of Synaptic Plasticity in the Human Brain
AU - Orwig, William
AU - Diez, Ibai
AU - Bueichekú, Elisenda
AU - Vannini, Patrizia
AU - Beaty, Roger
AU - Sepulcre, Jorge
N1 - Funding Information:
This research was supported by grants from the National Institutes of Health (NIH) (R01AG061811 and R01AG061445 to JS; R01AG061083 to PV and JS). RB is supported by a grant from the National Science Foundation [DRL-1920653]. This research was supported by grant RFP-15-12 to RB, from the Imagination Institute (www.imagination-institute.org), funded by the John Templeton Foundation.
Publisher Copyright:
© Copyright © 2021 Orwig, Diez, Bueichekú, Vannini, Beaty and Sepulcre.
PY - 2021/7/26
Y1 - 2021/7/26
N2 - The ability to produce novel ideas is central to societal progress and innovation; however, little is known about the biological basis of creativity. Here, we investigate the organization of brain networks that support creativity by combining functional neuroimaging data with gene expression information. Given the multifaceted nature of creative thinking, we hypothesized that distributed connectivity would not only be related to individual differences in creative ability, but also delineate the cortical distributions of genes involved in synaptic plasticity. We defined neuroimaging phenotypes using a graph theory approach that detects local and distributed network circuits, then characterized the spatial associations between functional connectivity and cortical gene expression distributions. Our findings reveal strong spatial correlations between connectivity maps and sets of genes devoted to synaptic assembly and signaling. This connectomic-transcriptome approach thus identifies gene expression profiles associated with high creative ability, linking cognitive flexibility to neural plasticity in the human brain.
AB - The ability to produce novel ideas is central to societal progress and innovation; however, little is known about the biological basis of creativity. Here, we investigate the organization of brain networks that support creativity by combining functional neuroimaging data with gene expression information. Given the multifaceted nature of creative thinking, we hypothesized that distributed connectivity would not only be related to individual differences in creative ability, but also delineate the cortical distributions of genes involved in synaptic plasticity. We defined neuroimaging phenotypes using a graph theory approach that detects local and distributed network circuits, then characterized the spatial associations between functional connectivity and cortical gene expression distributions. Our findings reveal strong spatial correlations between connectivity maps and sets of genes devoted to synaptic assembly and signaling. This connectomic-transcriptome approach thus identifies gene expression profiles associated with high creative ability, linking cognitive flexibility to neural plasticity in the human brain.
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U2 - 10.3389/fnhum.2021.694274
DO - 10.3389/fnhum.2021.694274
M3 - Article
C2 - 34381343
AN - SCOPUS:85112228073
VL - 15
JO - Frontiers in Human Neuroscience
JF - Frontiers in Human Neuroscience
SN - 1662-5161
M1 - 694274
ER -