Implementing neuroimaging and eye tracking methods to assess neurocognitive development of young infants in low- and middle-income countries.
EEG
eye tracking
fNIRS
global health
infancy
low-and middle-income countries (LMIC)
neurocognitive development
Journal
Gates open research
ISSN: 2572-4754
Titre abrégé: Gates Open Res
Pays: United States
ID NLM: 101717821
Informations de publication
Date de publication:
2019
2019
Historique:
accepted:
01
08
2019
entrez:
12
9
2019
pubmed:
12
9
2019
medline:
12
9
2019
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 31508580
doi: 10.12688/gatesopenres.12951.2
pmc: PMC6719506
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1113Subventions
Organisme : Medical Research Council
ID : G0400120
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/P012019/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_U123292701
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0300025
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0701458
Pays : United Kingdom
Déclaration de conflit d'intérêts
No competing interests were disclosed.
Références
Environ Health Perspect. 2000 Jun;108 Suppl 3:511-33
pubmed: 10852851
Neurosci Biobehav Rev. 2003 Jan-Mar;27(1-2):3-18
pubmed: 12732219
Pediatrics. 2005 Aug;116(2):333-41
pubmed: 16061586
Lancet. 2007 Jan 6;369(9555):60-70
pubmed: 17208643
Lancet. 2007 Jan 13;369(9556):145-57
pubmed: 17223478
Eur J Neurosci. 2007 Jul;26(1):265-74
pubmed: 17573923
Psychol Bull. 2007 Jul;133(4):651-72
pubmed: 17592960
Child Dev. 2009 Jul-Aug;80(4):986-99
pubmed: 19630889
Neurosci Biobehav Rev. 2010 Mar;34(3):269-84
pubmed: 19632270
Trends Cogn Sci. 2010 Feb;14(2):81-7
pubmed: 20074996
J Child Psychol Psychiatry. 2010 Apr;51(4):432-58
pubmed: 20085609
Psychophysiology. 2010 Sep;47(5):888-904
pubmed: 20374541
J Neurol Sci. 2010 Sep 15;296(1-2):88-95
pubmed: 20566207
Curr Biol. 2012 Feb 21;22(4):338-42
pubmed: 22285033
Dev Cogn Neurosci. 2011 Jan;1(1):22-46
pubmed: 22436417
World Rev Nutr Diet. 2013;106:90-9
pubmed: 23428686
Front Psychol. 2013 Sep 05;4:595
pubmed: 24046757
Adv Exp Med Biol. 2014;812:263-269
pubmed: 24729242
Sci Rep. 2014 Apr 22;4:4740
pubmed: 24751935
Behav Res Methods. 2015 Sep;47(3):848-59
pubmed: 25033759
PLoS Negl Trop Dis. 2014 Dec 11;8(12):e3369
pubmed: 25503381
Int J Epidemiol. 2017 Apr 1;46(2):e13
pubmed: 26559544
Adv Exp Med Biol. 2016;876:273-279
pubmed: 26782222
PLoS Med. 2016 Jun 07;13(6):e1002034
pubmed: 27270467
Dev Cogn Neurosci. 2017 Jun;25:92-104
pubmed: 28017265
Lancet Glob Health. 2017 Feb;5(2):e208-e216
pubmed: 28104187
Nature. 2017 Jul 12;547(7662):150-152
pubmed: 28703208
Neurophotonics. 2018 Jan;5(1):011017
pubmed: 29021987
Eur J Neurosci. 2018 Mar;47(6):736-749
pubmed: 29057543
Eur J Neurosci. 2018 Mar;47(6):720-728
pubmed: 29057566
Dev Sci. 2019 Sep;22(5):e12817
pubmed: 30771264
Dev Sci. 2019 Sep;22(5):e12822
pubmed: 30803122
Sci Rep. 2019 Mar 5;9(1):3507
pubmed: 30837491
Dev Sci. 2019 Sep;22(5):e12841
pubmed: 31016808
Dev Sci. 2019 Sep;22(5):e12839
pubmed: 31017372
Biol Psychiatry Cogn Neurosci Neuroimaging. 2019 May 22;:null
pubmed: 31345780
Trends Neurosci. 1997 Oct;20(10):435-42
pubmed: 9347608