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作 者:甘怡群[1] 黄慧清 张聪[1] 吴雪冰 胡军[1] GAN Yiqun;HUANG Huiqing;ZHANG Cong;WU Xuebing;HU Jun(School of Psychology and Cognitive Sciences&Beijing Key Laboratory of Behavior and Health,Peking University,Beijing 100871)
机构地区:[1]北京大学心理与认知科学学院/北京市行为与健康重点实验室,北京100871
出 处:《四川师范大学学报(自然科学版)》2024年第5期576-586,F0002,共12页Journal of Sichuan Normal University(Natural Science)
基 金:国家自然科学基金(32171076,3217070197)。
摘 要:在数字智能时代的背景下,个体所遭遇的社会压力和心理挑战日益复杂多元,使得应激相关成长这一积极适应策略的重要性愈发显著.以数字智能时代为背景,阐述应激相关成长的定义及其相关性指标(如抑制控制和认知灵活性),并强调其在帮助个体应对压力和创伤后积极成长的重要性.在论述认知机制时,提出认知重评、自我肯定和意义建构等适应策略在推动应激相关成长方面的关键性作用.在神经机制的讨论中,基于三元情感神经模型,推断这3种认知过程的对应神经机制,包括奖赏系统、杏仁核以及默认模式网络的激活.在对应激相关成长的干预措施方面,数字化干预可能提供了一种实现应激干预心理服务普及化和公平性的新途径.建议未来的研究能够考虑到个体差异,基于认知神经机制,利用智能平台的多模态数据来提升评估的准确性,同时采用机器学习等前沿技术来提高干预的效果,从而提升个体的应激相关成长.In the context of the era of digital intelligence,the social pressures and psychological challenges encountered by individuals are becoming more complex and diverse,which makes the importance of stress-related growth as a positive adaptation strategy more and more significant.In the context of the digital intelligence era,this paper expounds the definition of stress-related growth and its correlation indicators(such as inhibitory control and cognitive flexibility),and emphasizes its importance in helping individuals cope with stress and trauma to grow positively.In the discussion of neural mechanisms,we infer the corresponding neural mechanisms of these three cognitive processes,including the reward system,the amygdala,and the activation of the default pattern network,based on the ternary affective neural model.Based on the cognitive neural mechanism,the multimodal data of the intelligent platform are used to improve the accuracy of the assessment,and cutting-edge technologies such as machine learning are used to improve the effect of intervention,so as to improve the stress-related growth of individuals.
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