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The age-dependent relationship between resting heart rate variability and functional brain connectivity

MPS-Authors
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Kumral,  Deniz
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;

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Schaare,  Herma Lina
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
International Max Planck Research School on Neuroscience of Communication, Leipzig, Germany;

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Beyer,  Frauke
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;

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Reinelt,  Janis
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Uhlig,  Marie
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Liem,  Franz
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Lampe,  Leonie
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Babayan,  Anahit
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Reiter,  Andrea
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Lifespan Developmental Neuroscience, Department of Psychology, TU Dresden, Germany;

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Röbbig,  Josefin
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schroeter,  Matthias L.
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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Witte,  A. Veronica
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Villringer,  Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Collaborative Research Center Obesity Mechanisms, Institute of Biochemistry, University of Leipzig, Germany;
Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany;
Center for Stroke Research, Charité University Medicine Berlin, Germany;

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Gaebler,  Michael
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Leipzig Research Center for Civilization Diseases (LIFE), University of Leipzig, Germany;

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Citation

Kumral, D., Schaare, H. L., Beyer, F., Reinelt, J., Uhlig, M., Liem, F., et al. (2019). The age-dependent relationship between resting heart rate variability and functional brain connectivity. NeuroImage, 185, 521-533. doi:10.1016/j.neuroimage.2018.10.027.


Cite as: http://hdl.handle.net/21.11116/0000-0002-63A4-5
Abstract
Resting heart rate variability (HRV), an index of parasympathetic cardioregulation and an individual trait marker related to mental and physical health, decreases with age. Previous studies have associated resting HRV with structural and functional properties of the brain – mainly in cortical midline and limbic structures. We hypothesized that aging affects the relationship between resting HRV and brain structure and function. In 388 healthy subjects of three age groups (140 younger: 26.0 ± 4.2 years, 119 middle-aged: 46.3 ± 6.2 years, 129 older: 66.9 ± 4.7 years), gray matter volume (GMV, voxel-based morphometry) and resting state functional connectivity (eigenvector centrality mapping and exploratory seed-based functional connectivity) were related to resting HRV, measured as the root mean square of successive differences (RMSSD). Confirming previous findings, resting HRV decreased with age. For HRV-related GMV, there were no statistically significant differences between the age groups, nor similarities across all age groups. In whole-brain functional connectivity analyses, we found an age-dependent association between resting HRV and eigenvector centrality in the bilateral ventromedial prefrontal cortex (vmPFC), driven by the younger adults. Across all age groups, HRV was positively correlated with network centrality in the bilateral posterior cingulate cortex. Seed-based functional connectivity analysis using the vmPFC cluster revealed an HRV-related cortico-cerebellar network in younger but not in middle-aged or older adults. Our results indicate that the decrease of HRV with age is accompanied by changes in functional connectivity along the cortical midline. This extends our knowledge of brain-body interactions and their changes over the lifespan.