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Simultaneous EEG-PET-MRI identifies temporally coupled and spatially structured brain dynamics across wakefulness and NREM sleep

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Listed:
  • Jingyuan E. Chen

    (Massachusetts General Hospital
    Harvard Medical School)

  • Laura D. Lewis

    (Massachusetts General Hospital
    Massachusetts Institute of Technology
    Massachusetts Institute of Technology)

  • Sean E. Coursey

    (Massachusetts General Hospital
    Northeastern University)

  • Ciprian Catana

    (Massachusetts General Hospital
    Harvard Medical School
    Massachusetts Institute of Technology)

  • Jonathan R. Polimeni

    (Massachusetts General Hospital
    Harvard Medical School
    Massachusetts Institute of Technology)

  • Jiawen Fan

    (Massachusetts General Hospital)

  • Kyle S. Droppa

    (Massachusetts General Hospital)

  • Rudra Patel

    (Massachusetts General Hospital
    Massachusetts General Hospital)

  • Hsiao-Ying Wey

    (Massachusetts General Hospital
    Harvard Medical School)

  • Catie Chang

    (Vanderbilt University)

  • Dara S. Manoach

    (Massachusetts General Hospital
    Massachusetts General Hospital
    Harvard Medical School)

  • Julie C. Price

    (Massachusetts General Hospital
    Harvard Medical School)

  • Christin Y. Sander

    (Massachusetts General Hospital
    Harvard Medical School
    Harvard University)

  • Bruce R. Rosen

    (Massachusetts General Hospital
    Harvard Medical School
    Massachusetts Institute of Technology)

Abstract

Sleep entails significant changes in cerebral hemodynamics and metabolism. Yet, the way these processes evolve throughout wakefulness and sleep and their spatiotemporal dependence remain largely unknown. Here, by integrating a functional PET technique with simultaneous EEG-fMRI, we reveal a tightly coupled temporal progression of global hemodynamics and metabolism during the descent into NREM sleep, with large hemodynamic fluctuations emerging as global glucose metabolism declines, both of which track EEG arousal dynamics. Furthermore, we identify two distinct network patterns that emerge during NREM sleep: a ~0.02-Hz oscillating, high-metabolism sensorimotor network remains active and dynamic, whereas hemodynamic and metabolic activity in the default-mode network is suppressed. These results elucidate how sleep diminishes awareness while preserving sensory responses, and uncover a complex, alternating balance of neuronal, hemodynamic, and metabolic dynamics in the sleeping brain. This work also demonstrates the potential of EEG-PET-MRI to explore neuro-metabolic-hemodynamic mechanisms underlying cognition and arousal in humans.

Suggested Citation

  • Jingyuan E. Chen & Laura D. Lewis & Sean E. Coursey & Ciprian Catana & Jonathan R. Polimeni & Jiawen Fan & Kyle S. Droppa & Rudra Patel & Hsiao-Ying Wey & Catie Chang & Dara S. Manoach & Julie C. Pric, 2025. "Simultaneous EEG-PET-MRI identifies temporally coupled and spatially structured brain dynamics across wakefulness and NREM sleep," Nature Communications, Nature, vol. 16(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-64414-x
    DOI: 10.1038/s41467-025-64414-x
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