Evidence map›Paper›PMID 31222021›Full record

ArticleScientific reports2019

EEG functional connectivity metrics wPLI and wSMI account for distinct types of brain functional interactions.

Laura Sophie Imperatori, Monica Betta, Luca Cecchetti, Andrés Canales-Johnson, Emiliano Ricciardi, Francesca Siclari, Pietro Pietrini, Srivas Chennu, Giulio Bernardi

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 1 pooled it
–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

72 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Mechanisms of acupuncture-regulated cortical plasticity after stroke based on TMS-EEG-MEP integration.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  16. Behavioral, experiential, and physiological signatures of mind blanking.Proceedings of the National Academy of Sciences of the United States of America · 2025
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12 more citing papers are in PubMed but not listed here.

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

9 authors.

Laura Sophie ImperatoriMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy. laurasophie.imperatori@gmail.com.ORCID http://orcid.org/0000-0002-0227-1600
Monica BettaMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
Luca CecchettiMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.ORCID http://orcid.org/0000-0001-5184-6477
Andrés Canales-JohnsonDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Emiliano RicciardiMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
Francesca SiclariCenter for Investigation and Research on Sleep, Lausanne University Hospital, Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-2061-9719
Pietro PietriniMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy.
Srivas ChennuSchool of Computing, University of Kent, Chatham Maritime, United Kingdom.
Giulio BernardiMoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy. giulioberna@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The weighted Phase Lag Index (wPLI) and the weighted Symbolic Mutual Information (wSMI) represent two robust and widely used methods for MEG/EEG functional connectivity estimation. Interestingly, both methods have been shown to detect relative alterations of brain functional connectivity in conditions associated with changes in the level of consciousness, such as following severe brain injury or under anaesthesia. Despite these promising findings, it was unclear whether wPLI and wSMI may account for distinct or similar types of functional interactions. Using simulated high-density (hd-)EEG data, we demonstrate that, while wPLI has high sensitivity for couplings presenting a mixture of linear and nonlinear interdependencies, only wSMI can detect purely nonlinear interaction dynamics. Moreover, we evaluated the potential impact of these differences on real experimental data by computing wPLI and wSMI connectivity in hd-EEG recordings of 12 healthy adults during wakefulness and deep (N3-)sleep, characterised by different levels of consciousness. In line with the simulation-based findings, this analysis revealed that both methods have different sensitivity for changes in brain connectivity across the two vigilance states. Our results indicate that the conjoint use of wPLI and wSMI may represent a powerful tool to study the functional bases of consciousness in physiological and pathological conditions.

Indexed as

AdultBrainConsciousnessElectroencephalographyFemaleHumansMaleNonlinear Dynamics

Identifiers

PMID31222021
PMCPMC6586889

What OpenQuestion holds

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LicenceCC BY
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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.