Modeling heart beat dynamics and fMRI signals during carotid stimulation by neck suction

Matteo Mancini, Giovanni Calcagnini, Eugenio Mattei, Federica Censi, Marco Bozzali, Riccardo Barbieri

Research output: Contribution to journalArticle

Abstract

Central autonomic control on the cardiovascular system has been widely investigated in the last decades. More recently, with the advent of brain imaging techniques, considerable effort is being spent on defining the role of specific brain areas, and their dynamic network, acting on autonomic efferents. A way to assess autonomic modulation is offered by carotid stimulation. In this work, we propose a methodology to investigate autonomic control in carotid stimulation experiments using heartbeat series in combination with fMRI imaging. We modeled cardiovascular signals using the point process model, and processed fMRI data in order to estimate independent components of correlated information. Using cross-correlation and surrogate analysis, we assessed the responsiveness of subjects to neck suction stimuli and identified stimulus-related fMRI independent components.

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Suction
Neck
Magnetic Resonance Imaging
Brain
Imaging techniques
Cardiovascular system
Cardiovascular System
Neuroimaging
Modulation
Experiments

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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abstract = "Central autonomic control on the cardiovascular system has been widely investigated in the last decades. More recently, with the advent of brain imaging techniques, considerable effort is being spent on defining the role of specific brain areas, and their dynamic network, acting on autonomic efferents. A way to assess autonomic modulation is offered by carotid stimulation. In this work, we propose a methodology to investigate autonomic control in carotid stimulation experiments using heartbeat series in combination with fMRI imaging. We modeled cardiovascular signals using the point process model, and processed fMRI data in order to estimate independent components of correlated information. Using cross-correlation and surrogate analysis, we assessed the responsiveness of subjects to neck suction stimuli and identified stimulus-related fMRI independent components.",
author = "Matteo Mancini and Giovanni Calcagnini and Eugenio Mattei and Federica Censi and Marco Bozzali and Riccardo Barbieri",
year = "2014",
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AU - Mancini, Matteo

AU - Calcagnini, Giovanni

AU - Mattei, Eugenio

AU - Censi, Federica

AU - Bozzali, Marco

AU - Barbieri, Riccardo

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AB - Central autonomic control on the cardiovascular system has been widely investigated in the last decades. More recently, with the advent of brain imaging techniques, considerable effort is being spent on defining the role of specific brain areas, and their dynamic network, acting on autonomic efferents. A way to assess autonomic modulation is offered by carotid stimulation. In this work, we propose a methodology to investigate autonomic control in carotid stimulation experiments using heartbeat series in combination with fMRI imaging. We modeled cardiovascular signals using the point process model, and processed fMRI data in order to estimate independent components of correlated information. Using cross-correlation and surrogate analysis, we assessed the responsiveness of subjects to neck suction stimuli and identified stimulus-related fMRI independent components.

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