Evidence map›Paper›PMID 31222153›Full record

ArticleScientific reports2019

Exploring the EEG mu rhythm associated with observation and execution of a goal-directed action in 14-month-old preterm infants.

Rosario Montirosso, Caterina Piazza, Lorenzo Giusti, Livio Provenzi, Pier Francesco Ferrari, Gianluigi Reni, Renato Borgatti

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

3 citing papers in PubMed.

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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

7 authors.

Rosario MontirossoScientific Institute, IRCCS "E. Medea", 0-3 Center for the at-Risk Infant, Bosisio Parini, Lecco, Italy. rosario.montirosso@lanostrafamiglia.it.
Caterina PiazzaScientific Institute, IRCCS "E. Medea", Bioengineering Laboratory, Bosisio Parini, Lecco, Italy.
Lorenzo GiustiScientific Institute, IRCCS "E. Medea", 0-3 Center for the at-Risk Infant, Bosisio Parini, Lecco, Italy.ORCID http://orcid.org/0000-0002-2410-6657
Livio ProvenziScientific Institute, IRCCS "E. Medea", 0-3 Center for the at-Risk Infant, Bosisio Parini, Lecco, Italy.
Pier Francesco FerrariCNRS/Université Claude Bernard, Institut des Sciences Cognitives Marc Jeannerod, Lyon, France.
Gianluigi ReniScientific Institute, IRCCS "E. Medea", Bioengineering Laboratory, Bosisio Parini, Lecco, Italy.
Renato BorgattiScientific Institute, IRCCS "E. Medea", Neuropsychiatry and Neurorehabilitation Unit, Bosisio Parini, Lecco, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalographic mu rhythm desynchronization is thought to reflect Mirror Neuron System (MNS) activity and represents an important neural correlate of the coupling between action execution and perception. It is still unclear if the MNS in human ontogeny is already available at the beginning of postnatal life and how early experience impacts its development. Premature birth provides a "natural condition" for investigating the effects of early, atypical extra-uterine experience on MNS. The main aim of the present study was to investigate whether the MNS activity is associated with prematurity. We compared the mu rhythm activity in preterm (PT) and full-term (FT) 14-month old infants during an action observation/execution (AO/AE) task. Mu rhythm desynchronization was computed over frontal, central, parietal and occipital regions. Both groups showed mu rhythm suppression in all the scalp regions during action execution. Different desynchronization patterns emerged during action observation. Specifically, FT infants showed mu suppression in the right frontal, bilateral parietal and occipital regions; whereas PT infants exhibited mu suppression only in the right parietal region. Overall, these preliminary findings indicate that an atypical extra uterine experience might have an impact on the MNS activity.

Indexed as

Brain WavesElectroencephalographyInfant, PrematureFemaleHumansInfantInfant, NewbornIntensive Care, NeonatalMaleMirror NeuronsMotor ActivitySignal Processing, Computer-Assisted

Identifiers

PMID31222153
PMCPMC6586615

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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.