Association between resting-state brain network topological organization and creative ability: Evidence from a...

Area of Science:

• Neuroscience
• Cognitive Psychology
• Brain Network Analysis

Background:

• Previous research links resting-state functional connectivity to creative ability.
• The topological organization of brain networks is a key area for understanding creativity.
• Creative ability is often assessed using standardized tests like the Torrance Tests of Creative Thinking.

Purpose of the Study:

• To investigate the association between resting-state brain network topology and creativity.
• To compare network properties between high- and low-creativity individuals.
• To identify specific brain network characteristics that predict creative performance.

Main Methods:

• Acquired resting-state fMRI data from 44 participants (22 high-creativity, 22 low-creativity).
• Constructed functional brain networks and analyzed topological properties.
• Employed multiple linear regression to explore relationships between network properties and creativity.

Main Results:

• High-creativity participants showed increased global efficiency and decreased path length in brain networks.
• Regional functional integration (betweenness centrality, global efficiency) in the default mode network (DMN) and sensorimotor network (SMN) predicted creative ability.
• The relationship between network properties and creativity was dependent on creativity level, highlighting resource control.

Conclusions:

• Creative individuals possess intrinsically more efficient brain network organization for information transmission.
• Specific topological properties of the DMN and SMN are crucial neural substrates for creativity.
• Findings offer insights into the neural basis of creativity and potential for objective assessment.