Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing 400715, China; Faculty of Psychology, Southwest University (SWU), Chongqing, 400715, China; Southwest University Branch, Collaborative Innovation Center of Assessment Toward Basic Education Quality at Beijing Normal University, Chongqing, 400715, China.
Department of Psychology, Georgetown University, Washington, DC, 20057, USA.
Neuroimage. 2021 Jan 15;225:117469. doi: 10.1016/j.neuroimage.2020.117469. Epub 2020 Oct 21.
While a recent upsurge in the application of neuroimaging methods to creative cognition has yielded encouraging progress toward understanding the neural underpinnings of creativity, the neural basis of barriers to creativity are as yet unexplored. Here, we report the first investigation into the neural correlates of one such recently identified barrier to creativity: anxiety specific to creative thinking, or creativity anxiety (Daker et al., 2019). We employed a machine-learning technique for exploring relations between functional connectivity and behavior (connectome-based predictive modeling; CPM) to investigate the functional connections underlying creativity anxiety. Using whole-brain resting-state functional connectivity data, we identified a network of connections or "edges" that predicted individual differences in creativity anxiety, largely comprising connections within and between regions of the executive and default networks and the limbic system. We then found that the edges related to creativity anxiety identified in one sample generalize to predict creativity anxiety in an independent sample. We additionally found evidence that the network of edges related to creativity anxiety were largely distinct from those found in previous work to be related to divergent creative ability (Beaty et al., 2018). In addition to being the first work on the neural correlates of creativity anxiety, this research also included the development of a new Chinese-language version of the Creativity Anxiety Scale, and demonstrated that key behavioral findings from the initial work on creativity anxiety are replicable across cultures and languages.
虽然最近神经影像学方法在创造性认知中的应用有了令人鼓舞的进展，有助于理解创造力的神经基础，但创造力障碍的神经基础尚未得到探索。在这里，我们报告了对最近发现的创造力障碍之一的神经相关性的首次研究：创造性思维特有的焦虑，或创造力焦虑（Daker 等人，2019 年）。我们采用了一种用于探索功能连接与行为之间关系的机器学习技术（基于连接组的预测建模；CPM）来研究创造力焦虑的基础功能连接。使用全脑静息态功能连接数据，我们确定了一个连接或“边缘”网络，这些连接或边缘可以预测创造力焦虑的个体差异，主要包括执行网络、默认网络和边缘系统内部和之间的连接。然后，我们发现一个样本中与创造力焦虑相关的边缘可以推广到另一个独立样本中预测创造力焦虑。我们还发现，与创造力焦虑相关的边缘网络在很大程度上与以前发现的与发散性创造能力相关的边缘网络不同（Beaty 等人，2018 年）。除了是创造力焦虑的神经相关性的第一项研究外，这项研究还开发了创造力焦虑量表的中文版本，并证明了最初关于创造力焦虑的研究中的关键行为发现可以在不同的文化和语言中复制。
