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婴儿大脑区域脑血流增加,支持默认模式网络的出现。

Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network.

机构信息

Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, United States.

Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States.

出版信息

Elife. 2023 Jan 24;12:e78397. doi: 10.7554/eLife.78397.

Abstract

Human infancy is characterized by most rapid regional cerebral blood flow (rCBF) increases across lifespan and emergence of a fundamental brain system default-mode network (DMN). However, how infant rCBF changes spatiotemporally across the brain and how the rCBF increase supports emergence of functional networks such as DMN remains unknown. Here, by acquiring cutting-edge multi-modal MRI including pseudo-continuous arterial-spin-labeled perfusion MRI and resting-state functional MRI of 48 infants cross-sectionally, we elucidated unprecedented 4D spatiotemporal infant rCBF framework and region-specific physiology-function coupling across infancy. We found that faster rCBF increases in the DMN than visual and sensorimotor networks. We also found strongly coupled increases of rCBF and network strength specifically in the DMN, suggesting faster local blood flow increase to meet extraneuronal metabolic demands in the DMN maturation. These results offer insights into the physiological mechanism of brain functional network emergence and have important implications in altered network maturation in brain disorders.

摘要

人类婴儿期的特点是在整个生命周期中大脑血液流量(rCBF)呈最快增长,并出现一个基本的大脑系统——默认模式网络(DMN)。然而,婴儿 rCBF 如何在大脑中随时间和空间变化,以及 rCBF 的增加如何支持 DMN 等功能网络的出现,目前仍不清楚。在这里,我们通过获取包括伪连续动脉自旋标记灌注 MRI 和静息状态功能 MRI 在内的先进多模态 MRI,对 48 名婴儿进行了横向研究,阐明了前所未有的 4D 时空婴儿 rCBF 框架以及婴儿期的特定区域生理-功能耦合。我们发现 DMN 的 rCBF 增加速度快于视觉和感觉运动网络。我们还发现 DMN 中 rCBF 和网络强度的强烈耦合增加,表明 DMN 成熟过程中更快的局部血流增加以满足神经元外代谢需求。这些结果为大脑功能网络出现的生理机制提供了深入的见解,并对大脑疾病中网络成熟的改变具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d446/9873253/eccbac13ae80/elife-78397-fig1.jpg

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