Evidence map›Paper›PMID 31508580›Full record

ArticleGates open research2019

Implementing neuroimaging and eye tracking methods to assess neurocognitive development of young infants in low- and middle-income countries.

Laura Katus, Nathan J Hayes, Luke Mason, Anna Blasi, Samantha McCann, Momodou K Darboe, Michelle de Haan, Sophie E Moore, Sarah Lloyd-Fox, Clare E Elwell

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

Article in Gates open research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

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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

10 authors at 6 institutions in 3 countries.

Laura KatusGreat Ormond Street Institute of Child Health, University College London, London, London, WC1N 1EH, UK.ORCID https://orcid.org/0000-0002-4310-2723
Nathan J HayesGKT School of Medical Education, King's College London, London, UK.
Luke MasonCentre for Brain and Cognitive Development, Birkbeck University of London, London, UK.
Anna BlasiDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.ORCID https://orcid.org/0000-0001-7276-5609
Samantha McCannDepartment of Women and Children's Health, King's College London, London, UK.
Momodou K DarboeMedical Research Council Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia, The Gambia.
Michelle de HaanGreat Ormond Street Institute of Child Health, University College London, London, London, WC1N 1EH, UK.
Sophie E MooreDepartment of Women and Children's Health, King's College London, London, UK.
Sarah Lloyd-FoxCentre for Brain and Cognitive Development, Birkbeck University of London, London, UK.
Clare E ElwellDepartment of Medical Physics and Biomedical Engineering, University College London, London, UK.
King's College London · GBGreat Ormond Street Hospital · GBUniversity College London · GBBirkbeck, University of London · GBMRC Unit the Gambia · GMUniversity of Cambridge · GB

Funding

Medical Research Council G0300025Medical Research Council G0400120Medical Research Council G0701458Medical Research Council MC_U123292701Medical Research Council MR/P012019/1
6 · The paper itself

Abstract

Infants and children in low- and middle-income countries (LMICs) are frequently exposed to a range of environmental risk factors which may negatively affect their neurocognitive development. The mechanisms by which factors such as undernutrition and poverty impact development and cognitive outcomes in early childhood are poorly understood. This lack of knowledge is due in part to a paucity of objective assessment tools which can be implemented across different cultural settings and in very young infants. Over the last decade, technological advances, particularly in neuroimaging, have opened new avenues for research into the developing human brain, allowing us to investigate novel biological associations. This paper presents functional near-infrared spectroscopy (fNIRS), electroencephalography (EEG) and eye tracking (ET) as objective, cross-cultural methods for studying infant neurocognitive development in LMICs, and specifically their implementation in rural Gambia, West Africa. These measures are currently included, as part of a broader battery of assessments, in the Brain Imaging for Global Health (BRIGHT) project, which is developing brain function for age curves in Gambian and UK infants from birth to 24 months of age. The BRIGHT project combines fNIRS, EEG and ET with behavioural, growth, health and sociodemographic measures. The implementation of these measures in rural Gambia are discussed, including methodological and technical challenges that needed to be addressed to ensure successful data acquisition. The aim is to provide guidance to other groups seeking to implement similar methods in their research in other LMICs to better understand associations between environmental risk and early neurocognitive development.

Indexed as

EEGeye trackingfNIRSglobal healthinfancylow-and middle-income countries (LMIC)neurocognitive development

Identifiers

PMID31508580
PMCPMC6719506
OpenAlexW2928104736

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.