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额叶的控制网络。

Control networks of the frontal lobes.

作者信息

Marek Scott, Dosenbach Nico U F

机构信息

Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States.

Department of Neurology, Washington University School of Medicine, St. Louis, MO, United States; Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO, United States; Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, United States; Department of Radiology, Washington University School of Medicine, St. Louis, MO, United States; Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, United States.

出版信息

Handb Clin Neurol. 2019;163:333-347. doi: 10.1016/B978-0-12-804281-6.00018-5.

Abstract

The human brain is organized into specialized functional brain networks. Some networks are dedicated to early sensory processing, and others to generating motor outputs. Yet, the bulk of the human brain's functional networks is actually dedicated to control processes. The two control networks most important for the impressive repertoire of control-related behaviors that humans are able to instantiate and maintain are the frontoparietal and cinguloopercular networks. We provide evidence that these two control networks largely contribute to nonoverlapping domains of control. These networks largely have been studied using fMRI, which is sensitive only to infraslow activity. Complementary electrophysiological techniques have provided evidence that these networks manifest at substantially faster frequencies (delta-alpha band), supporting their role in coordination of whole-brain functional network activity. Both the frontoparietal and cinguloopercular networks demonstrate protracted development, supporting increases in control-related performance. Recent studies from our lab indicate these control networks exhibit measurable individual specificity, highlighting the importance of individualized paradigms in neuroimaging studies to advance our understanding of typical and atypical control network function throughout the life span.

摘要

人类大脑被组织成专门的功能性脑网络。一些网络专门用于早期感觉处理,另一些则用于产生运动输出。然而,人类大脑的大部分功能网络实际上是用于控制过程的。对于人类能够实例化和维持的令人印象深刻的与控制相关行为的全部技能而言,最重要的两个控制网络是额顶叶网络和扣带回-脑岛网络。我们提供的证据表明,这两个控制网络在很大程度上对不重叠的控制领域有贡献。这些网络主要是通过功能磁共振成像(fMRI)进行研究的,而fMRI仅对超慢活动敏感。互补的电生理技术提供的证据表明,这些网络在实质上更快的频率(δ-阿尔法波段)上表现出来,支持它们在全脑功能网络活动协调中的作用。额顶叶网络和扣带回-脑岛网络都表现出长期发育,支持与控制相关性能的提高。我们实验室最近的研究表明,这些控制网络表现出可测量的个体特异性,突出了神经成像研究中个体化范式对于增进我们对整个生命周期中典型和非典型控制网络功能理解的重要性。

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