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. Author manuscript; available in PMC: 2020 Jun 1.
Published in final edited form as: Curr Opin Behav Sci. 2018 Sep 13;27:22–30. doi: 10.1016/j.cobeha.2018.08.013

Table 1.

Correlational studies of individual differences in creative ability and functional connectivity (2017-2018)

Study Sample Size MRI Data Creativity Task(s) Network Analysis Results
Beaty et al. (2018) n = 163 Task fMRI AUT (originality) Connectome-based predictive modeling Network connectivity strength predicted verbal creativity in 4 datasets
Liu et al. (2018)* n = 236 Resting-state fMRI (and genetic data) TTCT-V (composite) Connectome-based predictive modeling Network connectivity strength predicted verbal creativity in 2 datasets
Chen et al. (2018)* n = 159 Structural MRI (2-3 timepoints) TTCT-V (composite) Longitudinal VBM ECN and FTN gray matter maturation predicted future verbal creativity
Zhu et al. (2017)* n = 282 Resting-state fMRI TTCT-V (composite) and TTCT-F (composite) ICA (mediation) ECN mediated relation between DN and verbal, figural creativity
Sun et al. (2018)* n = 574 Resting-state fMRI TTCT-V (composite) Temporal variability of FC DN between- and within-network FC variability correlated with verbal creativity
Bendetowicz et al. (2018) n = 29 frontal patients, n = 54 controls Structural MRI (lesion mapping) CAT-V and FGAT Voxel-based lesion-deficit mapping; disconnection-deficit mapping; network-based lesion deficit MPFC (DMN) lesion disrupted remote concept generation; RLPFC (ECN) lesion disrupted remote concept combination but not generation
Gao et al. (2017)** n = 22 HCG, n = 22 LCG Resting-state fMRI TTCT-F (composite) Voxel-wise whole-brain FCS; seed-to-voxel; graph theory HCG showed greater FCS across regions of multiple networks; network efficiency correlated with figural creativity score
Kenett et al. (2018) n = 416 DTI TTCT-V (composite) Network Control Theory Network controllability of DLPFC (ECN) and other regions correlated with verbal creativity score
Li et al. (2017)** n = 22 HCG, n = 22 LCG Resting-state fMRI TTCT-F (composite) ICA; Dynamic FC HCG showed more frequent transitions between brain states
Takeuchi et al. (2017) n = 1277 Resting-state fMRI S-A creativity test ReHO; seed-to-voxel; fALFF Creativity score in females correlated with ReHo of MTG (DMN); RSFC between MPFC (DMN) and IFG (ECN); and fALFF in precuneus (DMN), MTG (DMN), and other regions
*

Notes. = data from the Southwest University Longitudinal Imaging Multimodal (SLIM) Brain Data Repository (http://fcon_1000.projects.nitrc.org/indi/retro/southwestuni_qiu_index.html);

**

= data from the same subset of 180 undergraduates used to form the HCG and LCG. CAT-V = Combined Associates Task; DN = default network; DTI = diffusion tensor imaging; ECN = executive control network; fALFF = fractional amplitude of low frequency fluctuations; FC = functional connectivity; FCS = functional connectivity strength; FGAT = Free Generation of Remote Associates Task; fMRI = functional magnetic resonance imaging; FTN = fronto-temporal network; HCG = high-creative group; IFG = inferior frontal gyrus; ICA = independent components analysis; LCG = low-creative group; MPFC = medial prefrontal cortex; MTG = middle temporal gyrus; RLPFC = rostrolateral prefrontal cortex; TTCT-F = Torrance Test of Creative Thinking - Figural; TTCT-V = Torrance Test of Creative Thinking - Verbal; ReHo = regional homogeneity; SN = salience network; VBM = voxel-based morphometry.