Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing, China.
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China.
Commun Biol. 2024 Oct 15;7(1):1324. doi: 10.1038/s42003-024-07007-6.
Creativity is typically operationalized as divergent thinking (DT) ability, a form of higher-order cognition which relies on memory, attention, and other component processes. Despite recent advances, creativity neuroscience lacks a unified framework to model its complexity across neural, genetic, and cognitive scales. Using task-based fMRI from two independent samples and MVPA, we identified a neural pattern that predicts DT, validated through cognitive decoding, genetic data, and large-scale resting-state fMRI. Our findings reveal that DT neural patterns span brain regions associated with diverse cognitive functions, with positive weights in the default mode and frontoparietal control networks and negative weights in the visual network. The high correlation with the primary gradient of functional connectivity suggests that DT involves extensive integration from concrete sensory information to abstract, higher-level cognition, distinguishing it from other advanced cognitive functions. Moreover, neurobiological analyses show that the DT pattern is positively correlated with dopamine-related neurotransmitters and genes influencing neurotransmitter release, advancing the neurobiological understanding of creativity.
创造力通常被操作化为发散思维(DT)能力,这是一种依赖于记忆、注意力和其他组成过程的高阶认知形式。尽管最近取得了进展,但创造力神经科学缺乏一个统一的框架来跨神经、遗传和认知尺度对其复杂性进行建模。我们使用来自两个独立样本的基于任务的 fMRI 和 MVPA,确定了一个可以预测 DT 的神经模式,通过认知解码、遗传数据和大规模静息态 fMRI 进行了验证。我们的发现表明,DT 的神经模式跨越了与各种认知功能相关的大脑区域,默认模式和额顶控制网络的权重为正,视觉网络的权重为负。与功能连接的主要梯度高度相关表明,DT 涉及从具体的感官信息到抽象的、更高层次的认知的广泛整合,使其与其他高级认知功能区分开来。此外,神经生物学分析表明,DT 模式与多巴胺相关的神经递质和影响神经递质释放的基因呈正相关,这推进了对创造力的神经生物学理解。