Evidence map›Paper›PMID 27044990›Full record

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

Combining electroencephalographic activity and instantaneous heart rate for assessing brain-heart dynamics during visual emotional elicitation in healthy subjects.

G Valenza, A Greco, C Gentili, A Lanata, L Sebastiani, D Menicucci, A Gemignani, E P Scilingo

Open access · bronzeAbstract 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 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 95 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Review
  7. Article
  8. Dynamic fluctuations in ascending heart-to-brain communication under mental stress.American journal of physiology. Regulatory, integrative and comparative physiology · 2023
    Article
  9. Article
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  13. Functional brain-heart interplay extends to the multifractal domain.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2021
    Article
  14. Article
  15. Article
  16. Association between Cardiac Autonomic Control and Postural Control in Patients with Parkinson's Disease.International journal of environmental research and public health · 2020
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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

8 authors at 1 institution in 2 countries.

G ValenzaUniversity of Pisa, Pisa, Italy Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA g.valenza@ieee.org.ORCID http://orcid.org/0000-0001-6574-1879
A GrecoUniversity of Pisa, Pisa, Italy.
C GentiliUniversity of Pisa, Pisa, Italy University of Padua, Padua, Italy.
A LanataUniversity of Pisa, Pisa, Italy.
L SebastianiUniversity of Pisa, Pisa, Italy.
D MenicucciUniversity of Pisa, Pisa, Italy.
A GemignaniUniversity of Pisa, Pisa, Italy.
E P ScilingoUniversity of Pisa, Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotion perception, occurring in brain areas such as the prefrontal cortex and amygdala, involves autonomic responses affecting cardiovascular dynamics. However, how such brain-heart dynamics is further modulated by emotional valence (pleasantness/unpleasantness), also considering different arousing levels (the intensity of the emotional stimuli), is still unknown. To this extent, we combined electroencephalographic (EEG) dynamics and instantaneous heart rate estimates to study emotional processing in healthy subjects. Twenty-two healthy volunteers were elicited through affective pictures gathered from the International Affective Picture System. The experimental protocol foresaw 110 pictures, each of which lasted 10 s, associated to 25 different combinations of arousal and valence levels, including neutral elicitations. EEG data were processed using short-time Fourier transforms to obtain time-varying maps of cortical activation, whereas the associated instantaneous cardiovascular dynamics was estimated in the time and frequency domains through inhomogeneous point-process models. Brain-heart linear and nonlinear coupling was estimated through the maximal information coefficient (MIC). Considering EEG oscillations in theθband (4-8 Hz), MIC highlighted significant arousal-dependent changes between positive and negative stimuli, especially occurring at intermediate arousing levels through the prefrontal cortex interplay. Moreover, high arousing elicitations seem to mitigate changes in brain-heart dynamics in response to pleasant/unpleasant visual elicitation.

Indexed as

Heart Ratebrain–heart dynamicselectroencephalographicemotionsheart rate variabilityInternational Affective Picture Systemmaximal information coefficient

Identifiers

PMID27044990
PMCPMC4822439
OpenAlexW2327416138

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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.