Uncovering complex central autonomic networks at rest: a functional magnetic resonance imaging study on complex cardiovascular oscillations

Author:

Valenza Gaetano12ORCID,Passamonti Luca34ORCID,Duggento Andrea5ORCID,Toschi Nicola5ORCID,Barbieri Riccardo6

Affiliation:

1. Bioengineering and Robotics Research Centre ‘E. Piaggio’, University of Pisa, Pisa, Italy

2. Deparment of Information Engineering, University of Pisa, Pisa, Italy

3. Institute of Bioimaging and Molecular Physiology, National Research Council, Milano, Italy

4. Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK

5. Department of Biomedicine and Prevention, University of Rome ‘Tor Vergata’, Rome, Italy

6. Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, Milano, Italy

Abstract

This study aims to uncover brain areas that are functionally linked to complex cardiovascular oscillations in resting-state conditions. Multi-session functional magnetic resonance imaging (fMRI) and cardiovascular data were gathered from 34 healthy volunteers recruited within the human connectome project (the ‘100-unrelated subjects' release). Group-wise multi-level fMRI analyses in conjunction with complex instantaneous heartbeat correlates (entropy and Lyapunov exponent) revealed the existence of a specialized brain network, i.e. a complex central autonomic network (CCAN), reflecting what we refer to as complex autonomic control of the heart. Our results reveal CCAN areas comprised the paracingulate and cingulate gyri, temporal gyrus, frontal orbital cortex, planum temporale, temporal fusiform, superior and middle frontal gyri, lateral occipital cortex, angular gyrus, precuneous cortex, frontal pole, intracalcarine and supracalcarine cortices, parahippocampal gyrus and left hippocampus. The CCAN visible at rest does not include the insular cortex, thalamus, putamen, amygdala and right caudate, which are classical CAN regions peculiar to sympatho-vagal control. Our results also suggest that the CCAN is mainly involved in complex vagal control mechanisms, with possible links with emotional processing networks.

Funder

Medical Research Council

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

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