Infant brain regional cerebral blood flow increases supporting emergence of the default-mode network
Qinlin Yu,
Minhui Ouyang,
John Detre,
Huiying Kang,
Di Hu,
Bo Hong,
Fang Fang,
Yun Peng,
Hao Huang
Affiliations
Qinlin Yu
Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
John Detre
Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States; Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
Huiying Kang
Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, United States; Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, China
Di Hu
Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, United States; Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, China
Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, United States; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, United States
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.