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Structural covariance of the salience network associated with heart rate variability

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Abstract

The salience network (SN) anchored by the anterior insula and cingulate is crucial for the autonomic control of body homeostasis. Resting-sate fMRI studies have linked intrinsic SN connectivity with multiple autonomic measures, but little is known about the structural organization of this system relating to cardiac vagal function. To address the above issue, the current study used covariance analysis of MRI-based gray matter volume (GMV) to map structural covariance of SN with two independent datasets, and then determined whether interregional structural connections within SN related to individual differences in vagally-mediated heart rate variability (HRV). The results showed a significant positive association between structural covariance of the SN and vagal component of HRV in two independent samples. More importantly, the conjunction and pooled data analysis revealed that structural correlation from left anterior insula to dorsal anterior cingulate cortex positively interacted with vagally-mediated HRV. The current results demonstrated a crucial role of the SN in the cortical modulation of efferent vagal activity to the heart, and provided new insight into structural neural network implicated in cardiac vagal control.

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Funding

This study was supported by the National Natural Science Foundation of China (Grant No. 31900764, 61876156), and Fundamental Research Funds for the Central Universities (Grant No. SWU116074).

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Correspondence to Luqing Wei or Guo-Rong Wu.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Informed consent was obtained from all individual participants included in the study.

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Wei, L., Wu, GR. Structural covariance of the salience network associated with heart rate variability. Brain Imaging and Behavior 15, 896–905 (2021). https://doi.org/10.1007/s11682-020-00298-3

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  • DOI: https://doi.org/10.1007/s11682-020-00298-3

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