脑电图
创造力
适应性
熵(时间箭头)
任务(项目管理)
人工智能
心理学
认知心理学
人工神经网络
近似熵
计算机科学
模式识别(心理学)
机器学习
社会心理学
神经科学
工程类
生物
物理
生态学
系统工程
量子力学
出处
期刊:Brain Sciences
[Multidisciplinary Digital Publishing Institute]
日期:2024-10-30
卷期号:14 (11): 1094-1094
标识
DOI:10.3390/brainsci14111094
摘要
Previous studies have shown that creative thinking is associated with metacontrol, but its neural basis is unknown. The present study explored the neural basis of both by assessing EEG complexity through multiscale entropy. Subjects were engaged in a metacontrol task and an Alternative Uses Task, grouped according to task performance, and the EEG was analysed by multiscale entropy. The results showed that EEG complexity was significantly higher in the high-metacontrol and high-creativity groups than in the low-metacontrol and low-creativity groups, respectively, at high time scales. The metacontrol adaptability score and multipurpose task score were significantly and positively correlated with the EEG complexity at multiple electrode sites. It suggests that metacontrol and creativity are dependent on the activation of long-duration neural networks.
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