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Multimodal analysis demonstrating the shaping of functional gradients in the marmoset brain

Author

Listed:
  • Chuanjun Tong

    (Southern Medical University
    Chinese Academy of Sciences
    Southern Medical University)

  • Cirong Liu

    (Chinese Academy of Sciences)

  • Kaiwei Zhang

    (Chinese Academy of Sciences)

  • Binshi Bo

    (Chinese Academy of Sciences)

  • Ying Xia

    (Chinese Academy of Sciences)

  • Hao Yang

    (Chinese Academy of Sciences)

  • Yanqiu Feng

    (Southern Medical University
    Southern Medical University
    Southern Medical University)

  • Zhifeng Liang

    (Chinese Academy of Sciences
    Shanghai Center for Brain Science and Brain-Inspired Intelligence Technology)

Abstract

The discovery of functional gradients introduce a new perspective in understanding the cortical spectrum of intrinsic dynamics, as it captures major axes of functional connectivity in low-dimensional space. However, how functional gradients arise and dynamically vary remains poorly understood. In this study, we investigated the biological basis of functional gradients using awake resting-state fMRI, retrograde tracing and gene expression datasets in marmosets. We found functional gradients in marmosets showed a sensorimotor-to-visual principal gradient followed by a unimodal-to-multimodal gradient, resembling functional gradients in human children. Although strongly constrained by structural wirings, functional gradients were dynamically modulated by arousal levels. Utilizing a reduced model, we uncovered opposing effects on gradient dynamics by structural connectivity (inverted U-shape) and neuromodulatory input (U-shape) with arousal fluctuations, and dissected the contribution of individual neuromodulatory receptors. This study provides insights into biological basis of functional gradients by revealing the interaction between structural connectivity and ascending neuromodulatory system.

Suggested Citation

  • Chuanjun Tong & Cirong Liu & Kaiwei Zhang & Binshi Bo & Ying Xia & Hao Yang & Yanqiu Feng & Zhifeng Liang, 2022. "Multimodal analysis demonstrating the shaping of functional gradients in the marmoset brain," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34371-w
    DOI: 10.1038/s41467-022-34371-w
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    References listed on IDEAS

    as
    1. Randy L. Buckner & Daniel S. Margulies, 2019. "Macroscale cortical organization and a default-like apex transmodal network in the marmoset monkey," Nature Communications, Nature, vol. 10(1), pages 1-12, December.
    2. Piotr Majka & Shi Bai & Sophia Bakola & Sylwia Bednarek & Jonathan M. Chan & Natalia Jermakow & Lauretta Passarelli & David H. Reser & Panagiota Theodoni & Katrina H. Worthy & Xiao-Jing Wang & Daniel , 2020. "Open access resource for cellular-resolution analyses of corticocortical connectivity in the marmoset monkey," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    3. Xiao Liu & Jacco A. de Zwart & Marieke L. Schölvinck & Catie Chang & Frank Q. Ye & David A. Leopold & Jeff H. Duyn, 2018. "Subcortical evidence for a contribution of arousal to fMRI studies of brain activity," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
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    Cited by:

    1. Jie Xia & Cirong Liu & Jiao Li & Yao Meng & Siqi Yang & Huafu Chen & Wei Liao, 2024. "Decomposing cortical activity through neuronal tracing connectome-eigenmodes in marmosets," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Yalin Yu & Yue Qiu & Gen Li & Kaiwei Zhang & Binshi Bo & Mengchao Pei & Jingjing Ye & Garth J. Thompson & Jing Cang & Fang Fang & Yanqiu Feng & Xiaojie Duan & Chuanjun Tong & Zhifeng Liang, 2023. "Sleep fMRI with simultaneous electrophysiology at 9.4 T in male mice," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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