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Left temporal pole contributes to creative thinking via an individual semantic network.

Tingrui Yan1, Kaixiang Zhuang1, Li He1

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This study reveals that the structure of semantic networks, specifically their global efficiency, is linked to creative thinking abilities. The left temporal pole

Keywords:
creative thinkingfmriglobal efficiencysemantic networktemporal pole GMV

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Semantics

Background:

  • The neural basis of creative thinking, particularly how semantic memory networks contribute, is not well understood.
  • Investigating the link between semantic network topology, creativity, and brain structure is crucial for understanding cognitive processes.

Purpose of the Study:

  • To examine semantic network properties using a semantic judgment rating task at the individual level.
  • To explore the relationship between creative abilities, semantic network topology, and gray matter volume (GMV) in the brain.

Main Methods:

  • Semantic judgment rating task to assess individual semantic networks and compute topological properties.
  • Alternate uses task to measure creative thinking abilities.
  • Voxel-based morphometry (VBM) to analyze the relationship between GMV and semantic network properties.
  • Mediation analysis to explore the role of semantic network global efficiency.

Main Results:

  • A significant correlation was found between creative thinking abilities and semantic network topological properties.
  • Global efficiency of the semantic network positively correlated with gray matter volume in the left temporal pole cortex.
  • Mediation analysis indicated that semantic network global efficiency mediates the relationship between left temporal pole GMV and creative thinking.

Conclusions:

  • Individual semantic network structure, particularly global efficiency, is associated with creative thinking.
  • The left temporal pole's gray matter volume influences creativity through its impact on semantic network global efficiency.
  • This study provides novel insights into the neural and structural underpinnings of semantic memory networks and their role in creativity.