空间工作记忆策略的个体差异在控制和默认大脑网络的参与中有所不同
Nina Purg Suljič1, Aleksij Kraljič1, Masih Rahmati2
1Department of Psychology, Faculty of Arts, University of Ljubljana, Aškerčeva 2, 1000 Ljubljana, Slovenia.
Cerebral cortex (New York, N.Y. : 1991)
|August 30, 2024
概括
个人使用详细的 (细粒度) 或更简单的 (分类) 空间工作记忆策略. 根据策略,大脑活动有所不同,详细的表现涉及到更多的注意力和控制系统.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
- 人类心理学 人类心理学
背景情况:
- 工作记忆利用各种策略来编码和维护空间信息.
- 细粒度的表示提供了细节,但资源密集且不那么精确.
- 分类表示是强大的,要求较小,补偿细粒度的不确定性.
研究的目的:
- 调查与工作记忆中的细粒度与分类空间表示相关的大脑活动.
- 利用个体差异方法将神经模式与不同的空间记忆策略联系起来.
- 探索大脑网络参与度如何随空间工作记忆的精度和稳定性而变化.
主要方法:
- 结合了六项功能磁共振成像 (fMRI) 研究的数据.
- 分析了155名健康参与者执行空间工作记忆任务的大脑活动.
- 采用个体差异方法将神经活动与表示策略相关联.
主要成果:
- 空间工作记忆策略的个体差异与不同的大脑活动模式相关.
- 在细粒度表示中更高的精度与增加的注意力和控制系统参与度有关.
- 在编码过程中观察到更高的默认网络禁用,并具有更精确的细粒度表示.
- 类别表示的使用与编码期间的较低的默认网络活动和维护期间的较高的前端对象激活相关.
结论:
- 独特的神经机制支持细粒度和分类空间工作记忆.
- 细粒度的表示可能需要更多的注意力资源和干扰保护.
- 大脑活动模式反映了表示细节和认知负载之间的权衡.
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