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Linking functional connectome gradient to individual creativity.

Tengbin Huo1,2, Yunman Xia3,4,5, Kaixiang Zhuang1,2

  • 1Key Laboratory of Cognition and Personality, Ministry of Education, Chongqing 400715, China.

Cerebral Cortex (New York, N.Y. : 1991)
|February 9, 2022
PubMed
Summary
This summary is machine-generated.

Human creativity is linked to brain network organization. Higher creativity correlates with specific patterns in the unimodal-transmodal gradient of the functional connectome in young adults.

Keywords:
creativityfunctional gradientindividual differencetransmodal regions

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Brain Imaging

Background:

  • The human brain exhibits hierarchical organization with connectome gradients.
  • The principal gradient spans modality-specific primary areas and transmodal regions.
  • The unimodal-transmodal gradient may underpin higher-order cognition, but direct links are underexplored.

Purpose of the Study:

  • To investigate the association between creativity and the unimodal-transmodal gradient in the human brain.
  • To utilize two independent datasets of young adults for robust findings.

Main Methods:

  • Identified the unimodal-transmodal gradient in functional connectome for each individual.
  • Calculated global measures of the gradient.
  • Correlated individual creativity scores with gradient measures at global, subsystem, and regional levels.

Main Results:

  • Enhanced creative performance associated with greater distance between primary and transmodal regions.
  • Reduced distance between ventral attention and default mode networks linked to creativity.
  • Positive correlation between creativity and regional gradients in the ventral attention network.
  • Negative correlation between creativity and gradients in the visual cortex.

Conclusions:

  • Directly links the unimodal-transmodal gradient to individual creativity.
  • Provides empirical evidence for the cognitive significance of functional connectome gradients.
  • Highlights the role of specific network architectures in higher-order cognitive functions like creativity.