Brain Connectivity-Based Prediction of Combining Remote Semantic Associates for Creative Thinking

Associative thinking plays a major role in creativity, as it involves the ability to link distant concepts. Yet, neural mechanisms allowing combine associates creative tasks remain poorly understood. We investigated whole-brain functional connectivity patterns related combining remote associations for thinking. Using connectome predictive modeling approach, we examined connecting close and Combination Association Task (CAT). Brain networks predicting CAT performance showed contributions from brain mostly Default Mode Network, likely associative processes required all trials of task. Besides, pattern remoteness linked also largely involved Executive Control Dorsal Attention Network Somatomotor networks, suggesting that more controlled played an important with higher remoteness. Critically, demands task share similarities previously found predict divergent Thus, our work potentially offers insights into play both convergent