Evidence map›Paper›PMID 27044995›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016

Uncovering brain-heart information through advanced signal and image processing.

Gaetano Valenza, Nicola Toschi, Riccardo Barbieri

Abstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The Roles of Heart Rate Variability in Cerebral Stroke.Neuropsychiatric disease and treatment · 2025
    Review
  6. Article
  7. A rationale for considering heart/brain axis control in neuropsychiatric disease.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gaetano ValenzaResearch 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.ORCID http://orcid.org/0000-0001-6574-1879
Nicola ToschiDepartment 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.
Riccardo BarbieriDepartment 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brainadvanced signal and image processingbrain–heart interactionbrain–heart physiology and physiopathology

Identifiers

PMID27044995
PMCPMC4822450

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.