Suppr超能文献

神经元同步揭示了工作记忆网络,并预测了个体的记忆容量。

Neuronal synchrony reveals working memory networks and predicts individual memory capacity.

机构信息

Neuroscience Center, 00014-University of Helsinki, Finland.

出版信息

Proc Natl Acad Sci U S A. 2010 Apr 20;107(16):7580-5. doi: 10.1073/pnas.0913113107. Epub 2010 Apr 5.

Abstract

Visual working memory (VWM) is used to maintain sensory information for cognitive operations, and its deficits are associated with several neuropsychological disorders. VWM is based on sustained neuronal activity in a complex cortical network of frontal, parietal, occipital, and temporal areas. The neuronal mechanisms that coordinate this distributed processing to sustain coherent mental images and the mechanisms that set the behavioral capacity limit have remained unknown. We mapped the anatomical and dynamic structures of network synchrony supporting VWM by using a neuro informatics approach and combined magnetoencephalography and electroencephalography. Interareal phase synchrony was sustained and stable during the VWM retention period among frontoparietal and visual areas in alpha- (10-13 Hz), beta- (18-24 Hz), and gamma- (30-40 Hz) frequency bands. Furthermore, synchrony was strengthened with increasing memory load among the frontoparietal regions known to underlie executive and attentional functions during memory maintenance. On the other hand, the subjects' individual behavioral VWM capacity was predicted by synchrony in a network in which the intraparietal sulcus was the most central hub. These data suggest that interareal phase synchrony in the alpha-, beta-, and gamma-frequency bands among frontoparietal and visual regions could be a systems level mechanism for coordinating and regulating the maintenance of neuronal object representations in VWM.

摘要

视觉工作记忆 (VWM) 用于维持认知操作的感觉信息,其缺陷与多种神经心理障碍有关。VWM 基于额、顶、枕和颞叶等区域的复杂皮质网络中持续的神经元活动。协调这种分布式处理以维持连贯的心理图像的神经元机制以及设定行为容量限制的机制仍然未知。我们使用神经信息学方法结合脑磁图和脑电图来绘制支持 VWM 的网络同步的解剖和动态结构。在 VWM 保留期间,额顶和视觉区域之间的 alpha(10-13 Hz)、beta(18-24 Hz)和 gamma(30-40 Hz)频段中的跨区域相位同步是持续和稳定的。此外,随着记忆负荷的增加,在记忆维持期间负责执行和注意力功能的额顶区域之间的同步性增强。另一方面,个体行为 VWM 能力可以通过顶内沟作为最中心枢纽的网络中的同步性来预测。这些数据表明,额顶和视觉区域之间的 alpha、beta 和 gamma 频段中的跨区域相位同步可能是协调和调节 VWM 中神经元对象表示维持的系统水平机制。

相似文献

引用本文的文献

1
Frontotemporal bursting supports human working memory.额颞叶爆发支持人类工作记忆。
bioRxiv. 2025 Jul 27:2025.07.26.666946. doi: 10.1101/2025.07.26.666946.

本文引用的文献

3
Complex network measures of brain connectivity: uses and interpretations.脑连接复杂网络度量:用途与解读。
Neuroimage. 2010 Sep;52(3):1059-69. doi: 10.1016/j.neuroimage.2009.10.003. Epub 2009 Oct 9.
4
Distributed processing and temporal codes in neuronal networks.神经元网络中的分布式处理和时间代码。
Cogn Neurodyn. 2009 Sep;3(3):189-96. doi: 10.1007/s11571-009-9087-z. Epub 2009 Jun 28.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验