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Correspondence between cerebral glucose metabolism and BOLD reveals relative power and cost in human brain

Author

Listed:
  • Ehsan Shokri-Kojori

    (National Institutes of Health)

  • Dardo Tomasi

    (National Institutes of Health)

  • Babak Alipanahi

    (Mountain View)

  • Corinde E. Wiers

    (National Institutes of Health)

  • Gene-Jack Wang

    (National Institutes of Health)

  • Nora D. Volkow

    (National Institutes of Health
    National Institutes of Health)

Abstract

The correspondence between cerebral glucose metabolism (indexing energy utilization) and synchronous fluctuations in blood oxygenation (indexing neuronal activity) is relevant for neuronal specialization and is affected by brain disorders. Here, we define novel measures of relative power (rPWR, extent of concurrent energy utilization and activity) and relative cost (rCST, extent that energy utilization exceeds activity), derived from FDG-PET and fMRI. We show that resting-state networks have distinct energetic signatures and that brain could be classified into major bilateral segments based on rPWR and rCST. While medial-visual and default-mode networks have the highest rPWR, frontoparietal networks have the highest rCST. rPWR and rCST estimates are generalizable to other indexes of energy supply and neuronal activity, and are sensitive to neurocognitive effects of acute and chronic alcohol exposure. rPWR and rCST are informative metrics for characterizing brain pathology and alternative energy use, and may provide new multimodal biomarkers of neuropsychiatric disorders.

Suggested Citation

  • 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.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-08546-x
    DOI: 10.1038/s41467-019-08546-x
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    Cited by:

    1. 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.
    2. Adam R. Pines & Bart Larsen & Zaixu Cui & Valerie J. Sydnor & Maxwell A. Bertolero & Azeez Adebimpe & Aaron F. Alexander-Bloch & Christos Davatzikos & Damien A. Fair & Ruben C. Gur & Raquel E. Gur & H, 2022. "Dissociable multi-scale patterns of development in personalized brain networks," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

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