Evidence map›Paper›PMID 37146782›Full record

ArticleNeuroImage2023

Longitudinal fNIRS and EEG metrics of habituation and novelty detection are correlated in 1-18-month-old infants.

Laura Katus, Anna Blasi, Sam McCann, Luke Mason, Ebrima Mbye, Ebou Touray, Muhammed Ceesay, Michelle de Haan, Sophie E Moore, Clare E Elwell and 2 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
13.4field-weighted citation impact, top 1% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

12 authors at 5 institutions in 2 countries.

Laura KatusInstitute for Lifecourse Development, School of Human Sciences, University of Greenwich, London, United Kingdom; Centre for Family Research, University of Cambridge, Cambridge, United Kingdom. Electronic address: l.katus@greenwich.ac.uk.
Anna BlasiDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom.
Sam McCannDepartment of Women and Children's Health, Kings College London, United Kingdom.
Luke MasonForensic and Neurodevelopmental Sciences, King's College London, United Kingdom.
Ebrima MbyeMRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia.
Ebou TourayMRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia.
Muhammed CeesayMRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia.
Michelle de HaanGreat Ormond Street Institute of Child Health, University College London, United Kingdom; Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Sophie E MooreDepartment of Women and Children's Health, Kings College London, United Kingdom; MRC Unit The Gambia at the London School of Hygiene and Tropical Medicine, The Gambia.
Clare E ElwellDepartment of Medical Physics and Biomedical Engineering, University College London, United Kingdom.
Sarah Lloyd-FoxDepartment of Psychology, University of Cambridge, United Kingdom.
BRIGHT Study TeamThe BRIGHT Study team are (in alphabetical order): Lena Acolatse, Chiara Bulgarelli, Maria-Magdalena Crespo Llado, Momodou K. Darboe, Saikou Drammeh, Tijan Fadera, Giulia Ghillia, Buba Jobarteh, Marta Perapoch Amado, Andrew M. Prentice, Maria Rozhko, Mariama Saidykhan.
King's College London · GBMRC Unit the Gambia · GMUniversity College London · GBUniversity of Cambridge · GBGreat Ormond Street Hospital · GB

Funding

Medical Research Council MC_U123292701Medical Research Council MC_UP_1005/1Medical Research Council MR/P012019/1Medical Research Council MR/S018425/1Wellcome Trust 220225/Z/20/Z
6 · The paper itself

Abstract

introductionHabituation and novelty detection are two fundamental and widely studied neurocognitive processes. Whilst neural responses to repetitive and novel sensory input have been well-documented across a range of neuroimaging modalities, it is not yet fully understood how well these different modalities are able to describe consistent neural response patterns. This is particularly true for infants and young children, as different assessment modalities might show differential sensitivity to underlying neural processes across age. Thus far, many neurodevelopmental studies are limited in either sample size, longitudinal scope or breadth of measures employed, impeding investigations of how well common developmental trends can be captured via different methods.

methodThis study assessed habituation and novelty detection in N = 204 infants using EEG and fNIRS measured in two separate paradigms, but within the same study visit, at 1, 5 and 18 months of age in an infant cohort in rural Gambia. EEG was acquired during an auditory oddball paradigm during which infants were presented with Frequent, Infrequent and Trial Unique sounds. In the fNIRS paradigm, infants were familiarised to a sentence of infant-directed speech, novelty detection was assessed via a change in speaker. Indices for habituation and novelty detection were extracted for both EEG and NIRS

resultsWe found evidence for weak to medium positive correlations between responses on the fNIRS and the EEG paradigms for indices of both habituation and novelty detection at most age points. Habituation indices correlated across modalities at 1 month and 5 months but not 18 months of age, and novelty responses were significantly correlated at 5 months and 18 months, but not at 1 month. Infants who showed robust habituation responses also showed robust novelty responses across both assessment modalities. DISCUSSION: This study is the first to examine concurrent correlations across two neuroimaging modalities across several longitudinal age points. Examining habituation and novelty detection, we show that despite the use of two different testing modalities, stimuli and timescale, it is possible to extract common neural metrics across a wide age range in infants. We suggest that these positive correlations might be strongest at times of greatest developmental change.

Indexed as

Habituation, PsychophysiologicSpeechChildChild, PreschoolElectroencephalographyHumansInfantSoundSpectrum AnalysisEEGfNIRSHabituationNeurodevelopmentNovelty detection

Identifiers

PMID37146782
PMCPMC10199411
OpenAlexW4367856861

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.