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

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 functi...

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Bibliographic Details
Published in:eLife 2023-01, Vol.12
Main Authors: Yu, Qinlin, Ouyang, Minhui, Detre, John, Kang, Huiying, Hu, Di, Hong, Bo, Fang, Fang, Peng, Yun, Huang, Hao
Format: Article
Language:English
Subjects:
Age
Babies
Blood flow
Brain
Brain - physiology
Brain Mapping
Cerebral blood flow
Cerebrovascular Circulation - physiology
Default Mode Network
development
Energy consumption
functional connectivity
Functional magnetic resonance imaging
Glucose
Humans
Infant
infant brain
Infants
Life span
Magnetic Resonance Imaging
Metabolism
Neuroscience
perfusion
Sensorimotor system
Tomography
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Summary: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.
ISSN:2050-084X
2050-084X
DOI:10.7554/eLife.78397