Evidence map›Paper›PMID 32410940›Full record

ArticleFrontiers in neuroscience2020

Toward the Understanding of Topographical and Spectral Signatures of Infant Movement Artifacts in Naturalistic EEG.

Stanimira Georgieva, Suzannah Lester, Valdas Noreika, Meryem Nazli Yilmaz, Sam Wass, Victoria Leong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 50 citations in OpenAlex.

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  13. Bursting with Potential: How Sensorimotor Beta Bursts Develop from Infancy to Adulthood.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Proactive or reactive? Neural oscillatory insight into the leader-follower dynamics of early infant-caregiver interaction.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

6 authors at 2 institutions in 2 countries.

Stanimira GeorgievaDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Suzannah LesterDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Valdas NoreikaDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Meryem Nazli YilmazDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
Sam WassDepartment of Psychology, University of East London, London, United Kingdom.
Victoria LeongDepartment of Psychology, University of Cambridge, Cambridge, United Kingdom.
University of Cambridge · GBUniversity of East London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electroencephalography (EEG) is perhaps the most widely used brain-imaging technique for pediatric populations. However, EEG signals are prone to distortion by motion. Compared to adults, infants' motion is both more frequent and less stereotypical yet motion effects on the infant EEG signal are largely undocumented. Here, we present a systematic assessment of naturalistic motion effects on the infant EEG signal. EEG recordings were performed with 14 infants (12 analyzed) who passively watched movies whilst spontaneously producing periods of bodily movement and rest. Each infant produced an average of 38.3 s (SD = 14.7 s) of rest and 18.8 s (SD = 17.9 s) of single motion segments for the final analysis. Five types of infant motions were analyzed: Jaw movements, and Limb movements of the Hand, Arm, Foot, and Leg. Significant movement-related distortions of the EEG signal were detected using cluster-based permutation analysis. This analysis revealed that, relative to resting state, infants' Jaw and Arm movements produced significant

Indexed as

electroencephalographyinfantsmotion artifactsnaturalistic paradigmsignal distortion

Identifiers

PMID32410940
PMCPMC7199478
OpenAlexW3022789683

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.