期刊
NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -出版社
NATURE PORTFOLIO
DOI: 10.1038/s41467-022-34371-w
关键词
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资金
- National Science and Technology Innovation 2030 Major Program [2021ZD0200100]
- Strategic Priority Research Program of Chinese Academy of Sciences [XDBS01030100]
- Chinese Academy of Sciences
- Shanghai Municipal Science and Technology Major Project [2018SHZDZX05]
- National Natural Science Foundation of China [82171899, U21A6005]
- Key-Area Research and Development Program of Guangdong Province [2018B030340001, 2018B030333001]
- Lingang Laboratory [LG202104-02-06]
This study explores the biological basis of functional connectivity gradients by investigating their relationship with structural wiring and arousal levels in awake marmosets. The results reveal that while the functional gradients are determined by structural connectivity, they can be modulated by arousal levels. The study provides insights into the interaction between structural connectivity and neuromodulation in shaping the dynamics of functional gradients.
How functional connectivity gradients in the cortex arise and vary dynamically is not fully understood. Here the authors show that gradients are determined by structural wiring but may be modulated by arousal levels. 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.
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