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The central autonomic network at rest: Uncovering functional MRI correlates of time-varying autonomic outflow.
Valenza, G; Sclocco, R; Duggento, A; Passamonti, L; Napadow, V; Barbieri, R; Toschi, N.
Affiliation
  • Valenza G; Bioengineering and Robotics Research Centre "E. Piaggio", University of Pisa, Pisa, Italy; Dept. of Information Engineering, University of Pisa, Pisa, Italy. Electronic address: g.valenza@ieee.org.
  • Sclocco R; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Department of Radiology, Logan University, Chesterfield MOU, USA.
  • Duggento A; Dept. of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
  • Passamonti L; Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
  • Napadow V; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA.
  • Barbieri R; Dept. of Electronics, Informatics and Bioengineering, Politecnico di Milano, Milano, Italy.
  • Toschi N; Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, USA; Dept. of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
Neuroimage ; 197: 383-390, 2019 08 15.
Article in En | MEDLINE | ID: mdl-31055043
ABSTRACT
Peripheral measures of autonomic nervous system (ANS) activity at rest have been extensively employed as putative biomarkers of autonomic cardiac control. However, a comprehensive characterization of the brain-based central autonomic network (CAN) sustaining cardiovascular oscillations at rest is missing, limiting the interpretability of these ANS measures as biomarkers of cardiac control. We evaluated combined cardiac and fMRI data from 34 healthy subjects from the Human Connectome Project to detect brain areas functionally linked to cardiovagal modulation at rest. Specifically, we combined voxel-wise fMRI analysis with instantaneous heartbeat and spectral estimates obtained from inhomogeneous linear point-process models. We found exclusively negative associations between cardiac parasympathetic activity at rest and a widespread network including bilateral anterior insulae, right dorsal middle and left posterior insula, right parietal operculum, bilateral medial dorsal and ventrolateral posterior thalamic nuclei, anterior and posterior mid-cingulate cortex, medial frontal gyrus/pre-supplementary motor area. Conversely, we found only positive associations between instantaneous heart rate and brain activity in areas including frontopolar cortex, dorsomedial prefrontal cortex, anterior, middle and posterior cingulate cortices, superior frontal gyrus, and precuneus. Taken together, our data suggests a much wider involvement of diverse brain areas in the CAN at rest than previously thought, which could reflect a differential (both spatially and directionally) CAN activation according to the underlying task. Our insight into CAN activity at rest also allows the investigation of its impairment in clinical populations in which task-based fMRI is difficult to obtain (e.g., comatose patients or infants).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autonomic Nervous System / Brain / Heart Rate Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2019 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Autonomic Nervous System / Brain / Heart Rate Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: Neuroimage Journal subject: DIAGNOSTICO POR IMAGEM Year: 2019 Document type: Article
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