Uncovering brain-heart information through advanced signal and image processing

doi:10.1098/rsta.2016.0020

. 2016 May 13;374(2067):20160020.

doi: 10.1098/rsta.2016.0020.

Uncovering brain-heart information through advanced signal and image processing

Gaetano Valenza¹, Nicola Toschi², Riccardo Barbieri³

Affiliations

¹ Research Center E. Piaggio, and Department of Information Engineering, School of Engineering, University of Pisa, 56122 Pisa, Italy Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA Massachusetts Institute of Technology, Cambridge, MA 02139, USA g.valenza@ieee.org.
² Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', 00133 Rome, Italy A.A. Martinos Center for Biomedical Imaging (MGH), Harvard Medical School, Charlestown, MA 02129, USA.
³ Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA Massachusetts Institute of Technology, Cambridge, MA 02139, USA Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.

PMID: 27044995
PMCID: PMC4822450
DOI: 10.1098/rsta.2016.0020

Uncovering brain-heart information through advanced signal and image processing

Gaetano Valenza et al. Philos Trans A Math Phys Eng Sci. 2016.

. 2016 May 13;374(2067):20160020.

doi: 10.1098/rsta.2016.0020.

Authors

Gaetano Valenza¹, Nicola Toschi², Riccardo Barbieri³

Affiliations

¹ Research Center E. Piaggio, and Department of Information Engineering, School of Engineering, University of Pisa, 56122 Pisa, Italy Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA Massachusetts Institute of Technology, Cambridge, MA 02139, USA g.valenza@ieee.org.
² Department of Biomedicine and Prevention, University of Rome 'Tor Vergata', 00133 Rome, Italy A.A. Martinos Center for Biomedical Imaging (MGH), Harvard Medical School, Charlestown, MA 02129, USA.
³ Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA Massachusetts Institute of Technology, Cambridge, MA 02139, USA Department of Electronics, Informatics and Bioengineering, Politecnico di Milano, 20133 Milan, Italy.

PMID: 27044995
PMCID: PMC4822450
DOI: 10.1098/rsta.2016.0020

Abstract

Through their dynamical interplay, the brain and the heart ensure fundamental homeostasis and mediate a number of physiological functions as well as their disease-related aberrations. Although a vast number of ad hoc analytical and computational tools have been recently applied to the non-invasive characterization of brain and heart dynamic functioning, little attention has been devoted to combining information to unveil the interactions between these two physiological systems. This theme issue collects contributions from leading experts dealing with the development of advanced analytical and computational tools in the field of biomedical signal and image processing. It includes perspectives on recent advances in 7 T magnetic resonance imaging as well as electroencephalogram, electrocardiogram and cerebrovascular flow processing, with the specific aim of elucidating methods to uncover novel biological and physiological correlates of brain-heart physiology and physiopathology.

Keywords: advanced signal and image processing; brain–heart interaction; brain–heart physiology and physiopathology.

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[1] Pyner S. 2014. The paraventricular nucleus and heart failure. Exp. Physiol. 99, 332–339. (10.1113/expphysiol.2013.072678) - DOI - PubMed

[2] Pyner S. 2014. The paraventricular nucleus and heart failure. Exp. Physiol. 99, 332–339. (10.1113/expphysiol.2013.072678) - DOI - PubMed

[3] Sabatini T, Frisoni GB, Barbisoni P, Bellelli G, Rozzini R, Trabucchi M. 2000. Atrial fibrillation and cognitive disorders in older people. J. Am. Geriatr. Soc. 48, 387–390. (10.1111/j.1532-5415.2000.tb04695.x) - DOI - PubMed

[4] Sabatini T, Frisoni GB, Barbisoni P, Bellelli G, Rozzini R, Trabucchi M. 2000. Atrial fibrillation and cognitive disorders in older people. J. Am. Geriatr. Soc. 48, 387–390. (10.1111/j.1532-5415.2000.tb04695.x) - DOI - PubMed

[5] Dorrance AM, Fink G. 2015. Effects of stroke on the autonomic nervous system. Compreh. Physiol. 5, 1241–1263. (10.1002/cphy.c140016) - DOI - PubMed

[6] Dorrance AM, Fink G. 2015. Effects of stroke on the autonomic nervous system. Compreh. Physiol. 5, 1241–1263. (10.1002/cphy.c140016) - DOI - PubMed

[7] Hering D, Lachowska K, Schlaich M. 2015. Role of the sympathetic nervous system in stress-mediated cardiovascular disease. Curr. Hypertens. Rep. 17, 1–9. (10.1007/s11906-014-0510-4) - DOI - PubMed

[8] Hering D, Lachowska K, Schlaich M. 2015. Role of the sympathetic nervous system in stress-mediated cardiovascular disease. Curr. Hypertens. Rep. 17, 1–9. (10.1007/s11906-014-0510-4) - DOI - PubMed

[9] Pasi M. et al. 2015. White matter microstructural damage and depressive symptoms in patients with mild cognitive impairment and cerebral small vessel disease: the VMCI–Tuscany study. Int. J. Geriatr. Psychiatry. (10.1002/gps.4368) - DOI - PubMed

[10] Pasi M. et al. 2015. White matter microstructural damage and depressive symptoms in patients with mild cognitive impairment and cerebral small vessel disease: the VMCI–Tuscany study. Int. J. Geriatr. Psychiatry. (10.1002/gps.4368) - DOI - PubMed

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Uncovering brain-heart information through advanced signal and image processing

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Uncovering brain-heart information through advanced signal and image processing

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