Evidence map›Paper›PMID 37781256›Full record

ArticleFrontiers in neuroscience2023

Spectral quantitative and semi-quantitative EEG provide complementary information on the life-long effects of early childhood malnutrition on cognitive decline.

Fuleah A Razzaq, Ana Calzada-Reyes, Qin Tang, Yanbo Guo, Arielle G Rabinowitz, Jorge Bosch-Bayard, Lidice Galan-Garcia, Trinidad Virues-Alba, Carlos Suarez-Murias, Ileana Miranda and 7 more

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

Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

17 authors at 8 institutions in 6 countries.

Fuleah A RazzaqThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Ana Calzada-ReyesCuban Neuroscience Center, La Habana, Cuba.
Qin TangThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Yanbo GuoThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Arielle G RabinowitzMontreal Neurological Institute, McGill University, Montreal, QC, Canada.
Jorge Bosch-BayardFaculty of Psychology, Universidad Autónoma de Madrid, Madrid, Spain.
Lidice Galan-GarciaCuban Neuroscience Center, La Habana, Cuba.
Trinidad Virues-AlbaCuban Neuroscience Center, La Habana, Cuba.
Carlos Suarez-MuriasCuban Neuroscience Center, La Habana, Cuba.
Ileana MirandaNational Center for Animal and Plant Health, CENSA, San José de las Lajas, Mayabeque, Cuba.
Usama RiazThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Vivian Bernardo LagomasinoFacultad de Psicologia, Universidad La Habana, La Habana, Cuba.
Cyralene BryceThe George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados.
Simon G AndersonThe George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados.
Janina R GallerThe George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, University of the West Indies, Cave Hill, Barbados.
Maria L Bringas-VegaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Pedro A Valdes-SosaThe Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformatics, University of Electronic Science and Technology of China, Chengdu, China.
Cuban Neuroscience Center · CUUniversity of Electronic Science and Technology of China · CNUniversity of the West Indies · BBCentro Nacional de Sanidad Agropecuaria · CUMaineGeneral Medical Center · USMontreal Neurological Institute and Hospital · CAUniversidad Autónoma de Madrid · ESUniversity of Havana · CU

Funding

Transgenerational Effects of Undernutrition on ChildrenR01HD060986 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI GALLER, JANINA R. · 2011 to 2015
$4.9M
NICHD NIH HHS R01 HD060986
6 · The paper itself

Abstract

Objective: This study compares the complementary information from semi-quantitative EEG (sqEEG) and spectral quantitative EEG (spectral-qEEG) to detect the life-long effects of early childhood malnutrition on the brain. Methods: Resting-state EEGs ( Results: The univariate LME showed highly significant differences between previously malnourished and control groups ( Conclusion: This research has extended our prior work with spectral-qEEG and the long-term impact of early childhood malnutrition on the brain. Our findings showed that sqNPS was significantly linked to accelerated cognitive aging at 45-51 years of age. While sqNPS and spectral-qEEG produced comparable results, our study indicated that combining sqNPS and spectral-qEEG yielded better performance than either method alone, suggesting that a multimodal approach could be advantageous for future investigations. Significance: Based on our findings, a semi-quantitative approach utilizing GTE could be a valuable diagnostic tool for detecting the lasting impacts of childhood malnutrition. Notably, sqEEG has not been previously explored or reported as a biomarker for assessing the longitudinal effects of malnutrition. Furthermore, our observations suggest that sqEEG offers unique features and information not captured by spectral quantitative EEG analysis and could lead to its improvement.

Indexed as

cognitive declineEEGgrand total EEGitem response theorylatent variablemalnutritionqEEG

Identifiers

PMID37781256
PMCPMC10540225
OpenAlexW4386771304

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.