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创造力的阴暗面:产生恶意创意的神经关联。

The dark side of creativity: Neural correlates of malevolent creative idea generation.

机构信息

Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention, School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.

School of Educational Science and Technology, Guangdong Polytechnic Normal University, Guangzhou, China.

出版信息

Neuropsychologia. 2022 Mar 12;167:108164. doi: 10.1016/j.neuropsychologia.2022.108164. Epub 2022 Jan 24.

Abstract

Malevolent creativity, as one dark side of creativity, refers to manifestations people propose to harm themselves or others materially, mentally, or physically in an innovative way. This study aimed to explore the neural correlates of malevolent creative idea generation using task-based static and dynamic functional connectivity (FC) analysis across different time periods. We collected 34 participants who performed malevolent creativity task (MCT), benevolent creativity task (BCT), and realistic presented problems task (RPPT) in the fMRI scanner. The static connectivity analysis showed lower FC strength and global and local efficiency between the dorsal somatomotor network (dSMN), visual network (VN), default mode network (DMN), and reward network (RN) in MCT and RPPT than BCT. Dynamic connectivity analysis showed higher dynamic network reconfiguration in the DMN during MCT than BCT and RPPT. The behavioral results showed higher anxiety, anger, and lower pleasure in MCT than in BCT and RPPT. These findings indicate that the dSMN, VN, RN, and DMN are specifically involved in malevolent creative idea generation. Our findings provide the neural correlates of malevolent creative idea generation using neuroimaging techniques for the first time, which provides insight into the future study of malevolent creativity.

摘要

恶意创造力是创造力的阴暗面之一,是指人们以创新的方式提出对自己或他人在物质、精神或身体上造成伤害的表现。本研究旨在使用基于任务的静态和动态功能连接(FC)分析,在不同时间段探索恶意创意产生的神经关联。我们在 fMRI 扫描仪中收集了 34 名参与者,他们完成了恶意创造力任务(MCT)、善意创造力任务(BCT)和现实呈现问题任务(RPPT)。静态连通性分析显示,与 BCT 相比,MCT 和 RPPT 中背侧躯体运动网络(dSMN)、视觉网络(VN)、默认模式网络(DMN)和奖励网络(RN)之间的 FC 强度和全局及局部效率更低。动态连通性分析显示,MCT 期间 DMN 的动态网络重新配置更高。行为结果显示,MCT 中的焦虑、愤怒水平高于 BCT 和 RPPT,愉悦感低于 BCT 和 RPPT。这些发现表明,dSMN、VN、RN 和 DMN 特别参与了恶意创意的产生。我们的研究结果首次使用神经影像学技术提供了恶意创意产生的神经关联,为未来的恶意创造力研究提供了深入的见解。

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