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Spatiotemporal cerebral blood flow dynamics underlies emergence of the limbic-sensorimotor-association cortical gradient in human infancy

Author

Listed:
  • Minhui Ouyang

    (Children’s Hospital of Philadelphia
    University of Pennsylvania)

  • John A. Detre

    (University of Pennsylvania
    University of Pennsylvania)

  • Jessica L. Hyland

    (Children’s Hospital of Philadelphia)

  • Kay L. Sindabizera

    (Children’s Hospital of Philadelphia)

  • Emily S. Kuschner

    (Children’s Hospital of Philadelphia
    University of Pennsylvania)

  • J. Christopher Edgar

    (Children’s Hospital of Philadelphia
    University of Pennsylvania)

  • Yun Peng

    (Capital Medical University)

  • Hao Huang

    (Children’s Hospital of Philadelphia
    University of Pennsylvania)

Abstract

Infant cerebral blood flow (CBF) delivers nutrients and oxygen to fulfill brain energy consumption requirements for the fastest period of postnatal brain development across the lifespan. However, organizing principle of whole-brain CBF dynamics during infancy remains obscure. Leveraging a unique cohort of 100+ infants with high-resolution arterial spin labeled MRI, we find the emergence of the cortical hierarchy revealed by the highest-resolution infant CBF maps available to date. Infant CBF across cortical regions increases in a biphasic pattern featured by initial rapid and subsequently slower rate, and break-point ages increasing along the limbic-sensorimotor-association cortical gradient. Increases in CBF in sensorimotor cortices are associated with enhanced language and motor skills, and frontoparietal association cortices with cognitive skills. The study discovers emergence of the hierarchical limbic-sensorimotor-association cortical gradient in infancy and offers standardized reference of infant brain CBF and insight into the physiological basis of cortical specialization and real-world infant developmental functioning.

Suggested Citation

  • Minhui Ouyang & John A. Detre & Jessica L. Hyland & Kay L. Sindabizera & Emily S. Kuschner & J. Christopher Edgar & Yun Peng & Hao Huang, 2024. "Spatiotemporal cerebral blood flow dynamics underlies emergence of the limbic-sensorimotor-association cortical gradient in human infancy," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-53354-7
    DOI: 10.1038/s41467-024-53354-7
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    References listed on IDEAS

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    1. Ehsan Shokri-Kojori & Dardo Tomasi & Babak Alipanahi & Corinde E. Wiers & Gene-Jack Wang & Nora D. Volkow, 2019. "Correspondence between cerebral glucose metabolism and BOLD reveals relative power and cost in human brain," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    2. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    3. David Attwell & Alastair M. Buchan & Serge Charpak & Martin Lauritzen & Brian A. MacVicar & Eric A. Newman, 2010. "Glial and neuronal control of brain blood flow," Nature, Nature, vol. 468(7321), pages 232-243, November.
    4. Simon N. Wood, 2004. "Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 673-686, January.
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