Evidence map›Paper›PMID 36440261›Full record

ArticleFrontiers in neuroscience2022

Normalized compression distance to measure cortico-muscular synchronization.

Annalisa Pascarella, Eugenia Gianni, Matteo Abbondanza, Karolina Armonaite, Francesca Pitolli, Massimo Bertoli, Teresa L'Abbate, Joy Grifoni, Domenico Vitulano, Vittoria Bruni and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 1 country.

Annalisa PascarellaInstitute for the Applications of Calculus "M. Picone", National Research Council, Rome, Italy.
Eugenia GianniLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Matteo AbbondanzaDepartment of Basic and Applied Sciences for Engineering (SBAI), University of Rome "La Sapienza", Rome, Italy.
Karolina ArmonaiteLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Francesca PitolliDepartment of Basic and Applied Sciences for Engineering (SBAI), University of Rome "La Sapienza", Rome, Italy.
Massimo BertoliLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Teresa L'AbbateLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Joy GrifoniLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Domenico VitulanoInstitute for the Applications of Calculus "M. Picone", National Research Council, Rome, Italy.
Vittoria BruniInstitute for the Applications of Calculus "M. Picone", National Research Council, Rome, Italy.
Livio ContiFaculty of Engineering, Uninettuno University, Rome, Italy.
Luca PaulonLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Franca TecchioLaboratory of Electrophysiology for Translational NeuroScience, Institute of Cognitive Sciences and Technologies, Consiglio Nazionale delle Ricerche, Rome, Italy.
Institute of Cognitive Sciences and Technologies · ITSapienza University of Rome · ITNational Research Council · ITUniNettuno University · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neuronal functional connectivity is a complex and non-stationary phenomenon creating dynamic networks synchronization determining the brain states and needed to produce tasks. Here, as a measure that quantifies the synchronization between the neuronal electrical activity of two brain regions, we used the normalized compression distance (NCD), which is the length of the compressed file constituted by the concatenated two signals, normalized by the length of the two compressed files including each single signal. To test the NCD sensitivity to physiological properties, we used NCD to measure the cortico-muscular synchronization, a well-known mechanism to control movements, in 15 healthy volunteers during a weak handgrip. Independently of NCD compressor (Huffman or Lempel Ziv), we found out that the resulting measure is sensitive to the dominant-non dominant asymmetry when novelty management is required (

Indexed as

electrophysiologyfeedbackhandednessneuronal synchronizationnormalized compression distance (NCD)

Identifiers

PMID36440261
PMCPMC9687393
OpenAlexW4308713656

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.