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Intracranial electrophysiological and structural basis of BOLD functional connectivity in human brain white matter

Author

Listed:
  • Yali Huang

    (Chinese Institute for Brain Research)

  • Peng-Hu Wei

    (Xuanwu Hospital Capital Medical University)

  • Longzhou Xu

    (Chinese Institute for Brain Research
    Beijing Normal University)

  • Desheng Chen

    (Xuanwu Hospital Capital Medical University)

  • Yanfeng Yang

    (Xuanwu Hospital Capital Medical University)

  • Wenkai Song

    (Chinese Institute for Brain Research)

  • Yangyang Yi

    (Chinese Institute for Brain Research)

  • Xiaoli Jia

    (Chinese Institute for Brain Research)

  • Guowei Wu

    (Chinese Institute for Brain Research)

  • Qingchen Fan

    (Chinese Institute for Brain Research)

  • Zaixu Cui

    (Chinese Institute for Brain Research)

  • Guoguang Zhao

    (Xuanwu Hospital Capital Medical University
    National Medical Center for Neurological Diseases
    Beijing Municipal Geriatric Medical Research Center)

Abstract

While functional MRI (fMRI) studies have mainly focused on gray matter, recent studies have consistently found that blood-oxygenation-level-dependent (BOLD) signals can be reliably detected in white matter, and functional connectivity (FC) has been organized into distributed networks in white matter. Nevertheless, it remains unclear whether this white matter FC reflects underlying electrophysiological synchronization. To address this question, we employ intracranial stereotactic-electroencephalography (SEEG) and resting-state fMRI data from a group of 16 patients with drug-resistant epilepsy. We find that BOLD FC is correlated with SEEG FC in white matter, and this result is consistent across a wide range of frequency bands for each participant. By including diffusion spectrum imaging data, we also find that white matter FC from both SEEG and fMRI are correlated with white matter structural connectivity, suggesting that anatomical fiber tracts underlie the functional synchronization in white matter. These results provide evidence for the electrophysiological and structural basis of white matter BOLD FC, which could be a potential biomarker for psychiatric and neurological disorders.

Suggested Citation

  • Yali Huang & Peng-Hu Wei & Longzhou Xu & Desheng Chen & Yanfeng Yang & Wenkai Song & Yangyang Yi & Xiaoli Jia & Guowei Wu & Qingchen Fan & Zaixu Cui & Guoguang Zhao, 2023. "Intracranial electrophysiological and structural basis of BOLD functional connectivity in human brain white matter," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39067-3
    DOI: 10.1038/s41467-023-39067-3
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    References listed on IDEAS

    as
    1. Muwei Li & Allen T. Newton & Adam W. Anderson & Zhaohua Ding & John C. Gore, 2019. "Characterization of the hemodynamic response function in white matter tracts for event-related fMRI," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
    2. Nikos K. Logothetis & Jon Pauls & Mark Augath & Torsten Trinath & Axel Oeltermann, 2001. "Neurophysiological investigation of the basis of the fMRI signal," Nature, Nature, vol. 412(6843), pages 150-157, July.
    3. Fang-Cheng Yeh & Timothy D Verstynen & Yibao Wang & Juan C Fernández-Miranda & Wen-Yih Isaac Tseng, 2013. "Deterministic Diffusion Fiber Tracking Improved by Quantitative Anisotropy," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
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