Loading…

Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants

•We report longitudinal ERP data of 80 infants in a face-discrimination task.•P1, N290, Nc are all sensitive to faces in five-month-olds.•P1, N290, Nc show equal face-categorization in infants tested longitudinally.•N290 shows less variation in face-categorization trajectories than P1 or Nc.•Visual...

Full description

Saved in:
Bibliographic Details
Published in:Developmental cognitive neuroscience 2020-10, Vol.45, p.100840-100840, Article 100840
Main Authors: Di Lorenzo, Renata, van den Boomen, Carlijn, Kemner, Chantal, Junge, Caroline
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3
cites cdi_FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3
container_end_page 100840
container_issue
container_start_page 100840
container_title Developmental cognitive neuroscience
container_volume 45
creator Di Lorenzo, Renata
van den Boomen, Carlijn
Kemner, Chantal
Junge, Caroline
description •We report longitudinal ERP data of 80 infants in a face-discrimination task.•P1, N290, Nc are all sensitive to faces in five-month-olds.•P1, N290, Nc show equal face-categorization in infants tested longitudinally.•N290 shows less variation in face-categorization trajectories than P1 or Nc.•Visual ERPs increase in amplitude over infancy, but this is not face-specific. From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants’ face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5-months-olds, a pattern which did not change over time. Development is visible as increased amplitudes in all components, but similar for face and non-face stimuli. By using Markov models, we illustrate that there are differences in the distribution of individual trajectories of face-categorization components from 5 to 10 months. Whereas individual trajectories appear more varied for the Nc and the P1, the N290 reveals a more consistent pattern: a larger proportion of 5-month-olds shows the dominant group response; a larger proportion of 10-month-olds remains in this group, and larger proportions of the alternative trajectories from 5- to 10-month-olds move towards the dominant group. This is vital information when one wants to examine individual differences in infant ERPs related to face-categorization.
doi_str_mv 10.1016/j.dcn.2020.100840
format article
fullrecord <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_eb1b7c773680493baf0d056532ba72ee</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1878929320300888</els_id><doaj_id>oai_doaj_org_article_eb1b7c773680493baf0d056532ba72ee</doaj_id><sourcerecordid>2439979989</sourcerecordid><originalsourceid>FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3</originalsourceid><addsrcrecordid>eNp9kcFu1DAQhiMEotXSB-CCfOSSxbGTOAYJCa0KVKoEquBsTZxJ6pVjBztZqTw9DmkresEX2zP_fPbMn2WvC7ovaFG_O-477faMsvVOm5I-y86LRjS55FQ8fzgzyc-yixiPNC0ua1ayl9kZZ40QjaTnWTjcQpiNG0iHJ7R-GtHNxPfk8uY70X6cvEuBSLwjPWjMNcw4-GB-w2y8e09uMC425fvgRwLEQhiQWO8GMy-dcWBJhHGyuCKN6yGxXmUverARL-73Xfbz8-WPw9f8-tuXq8On61xXhZjzmrYdF8ApgOgbVreS1VVZlZJ1VFeNLrlETgtNoeGpV9a2IFGLSlLZ1lQj32VXG7fzcFRTMCOEO-XBqL8BHwa1tq4tKmyLVmgheN3QUvIWetrRqq44a0EwXFkfN9a0tCN2Os0kgH0CfZpx5lYN_qREKWqWTNhlb-8Bwf9aMM5qNFGjteDQL1Gx1I4UUjartNikOvgYA_aPzxRUrdaro0rWq9V6tVmfat78-7_Higejk-DDJsA08ZPBoKI26DR2JqCe00jMf_B_AI40wB0</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2439979989</pqid></control><display><type>article</type><title>Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants</title><source>Open Access: PubMed Central</source><source>ScienceDirect Journals</source><creator>Di Lorenzo, Renata ; van den Boomen, Carlijn ; Kemner, Chantal ; Junge, Caroline</creator><creatorcontrib>Di Lorenzo, Renata ; van den Boomen, Carlijn ; Kemner, Chantal ; Junge, Caroline</creatorcontrib><description>•We report longitudinal ERP data of 80 infants in a face-discrimination task.•P1, N290, Nc are all sensitive to faces in five-month-olds.•P1, N290, Nc show equal face-categorization in infants tested longitudinally.•N290 shows less variation in face-categorization trajectories than P1 or Nc.•Visual ERPs increase in amplitude over infancy, but this is not face-specific. From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants’ face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5-months-olds, a pattern which did not change over time. Development is visible as increased amplitudes in all components, but similar for face and non-face stimuli. By using Markov models, we illustrate that there are differences in the distribution of individual trajectories of face-categorization components from 5 to 10 months. Whereas individual trajectories appear more varied for the Nc and the P1, the N290 reveals a more consistent pattern: a larger proportion of 5-month-olds shows the dominant group response; a larger proportion of 10-month-olds remains in this group, and larger proportions of the alternative trajectories from 5- to 10-month-olds move towards the dominant group. This is vital information when one wants to examine individual differences in infant ERPs related to face-categorization.</description><identifier>ISSN: 1878-9293</identifier><identifier>EISSN: 1878-9307</identifier><identifier>DOI: 10.1016/j.dcn.2020.100840</identifier><identifier>PMID: 32877890</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Electroencephalography - methods ; ERPs ; Evoked Potentials - physiology ; Face - physiology ; Face categorization ; Female ; Humans ; Infant ; Infants ; Longitudinal ; Longitudinal Studies ; Male ; N290 ; Original Research</subject><ispartof>Developmental cognitive neuroscience, 2020-10, Vol.45, p.100840-100840, Article 100840</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.</rights><rights>2020 The Authors 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3</citedby><cites>FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3</cites><orcidid>0000-0001-9876-8058</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476229/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1878929320300888$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3549,27924,27925,45780,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32877890$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Di Lorenzo, Renata</creatorcontrib><creatorcontrib>van den Boomen, Carlijn</creatorcontrib><creatorcontrib>Kemner, Chantal</creatorcontrib><creatorcontrib>Junge, Caroline</creatorcontrib><title>Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants</title><title>Developmental cognitive neuroscience</title><addtitle>Dev Cogn Neurosci</addtitle><description>•We report longitudinal ERP data of 80 infants in a face-discrimination task.•P1, N290, Nc are all sensitive to faces in five-month-olds.•P1, N290, Nc show equal face-categorization in infants tested longitudinally.•N290 shows less variation in face-categorization trajectories than P1 or Nc.•Visual ERPs increase in amplitude over infancy, but this is not face-specific. From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants’ face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5-months-olds, a pattern which did not change over time. Development is visible as increased amplitudes in all components, but similar for face and non-face stimuli. By using Markov models, we illustrate that there are differences in the distribution of individual trajectories of face-categorization components from 5 to 10 months. Whereas individual trajectories appear more varied for the Nc and the P1, the N290 reveals a more consistent pattern: a larger proportion of 5-month-olds shows the dominant group response; a larger proportion of 10-month-olds remains in this group, and larger proportions of the alternative trajectories from 5- to 10-month-olds move towards the dominant group. This is vital information when one wants to examine individual differences in infant ERPs related to face-categorization.</description><subject>Electroencephalography - methods</subject><subject>ERPs</subject><subject>Evoked Potentials - physiology</subject><subject>Face - physiology</subject><subject>Face categorization</subject><subject>Female</subject><subject>Humans</subject><subject>Infant</subject><subject>Infants</subject><subject>Longitudinal</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>N290</subject><subject>Original Research</subject><issn>1878-9293</issn><issn>1878-9307</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9kcFu1DAQhiMEotXSB-CCfOSSxbGTOAYJCa0KVKoEquBsTZxJ6pVjBztZqTw9DmkresEX2zP_fPbMn2WvC7ovaFG_O-477faMsvVOm5I-y86LRjS55FQ8fzgzyc-yixiPNC0ua1ayl9kZZ40QjaTnWTjcQpiNG0iHJ7R-GtHNxPfk8uY70X6cvEuBSLwjPWjMNcw4-GB-w2y8e09uMC425fvgRwLEQhiQWO8GMy-dcWBJhHGyuCKN6yGxXmUverARL-73Xfbz8-WPw9f8-tuXq8On61xXhZjzmrYdF8ApgOgbVreS1VVZlZJ1VFeNLrlETgtNoeGpV9a2IFGLSlLZ1lQj32VXG7fzcFRTMCOEO-XBqL8BHwa1tq4tKmyLVmgheN3QUvIWetrRqq44a0EwXFkfN9a0tCN2Os0kgH0CfZpx5lYN_qREKWqWTNhlb-8Bwf9aMM5qNFGjteDQL1Gx1I4UUjartNikOvgYA_aPzxRUrdaro0rWq9V6tVmfat78-7_Higejk-DDJsA08ZPBoKI26DR2JqCe00jMf_B_AI40wB0</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Di Lorenzo, Renata</creator><creator>van den Boomen, Carlijn</creator><creator>Kemner, Chantal</creator><creator>Junge, Caroline</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9876-8058</orcidid></search><sort><creationdate>20201001</creationdate><title>Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants</title><author>Di Lorenzo, Renata ; van den Boomen, Carlijn ; Kemner, Chantal ; Junge, Caroline</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Electroencephalography - methods</topic><topic>ERPs</topic><topic>Evoked Potentials - physiology</topic><topic>Face - physiology</topic><topic>Face categorization</topic><topic>Female</topic><topic>Humans</topic><topic>Infant</topic><topic>Infants</topic><topic>Longitudinal</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>N290</topic><topic>Original Research</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Di Lorenzo, Renata</creatorcontrib><creatorcontrib>van den Boomen, Carlijn</creatorcontrib><creatorcontrib>Kemner, Chantal</creatorcontrib><creatorcontrib>Junge, Caroline</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>Developmental cognitive neuroscience</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Di Lorenzo, Renata</au><au>van den Boomen, Carlijn</au><au>Kemner, Chantal</au><au>Junge, Caroline</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants</atitle><jtitle>Developmental cognitive neuroscience</jtitle><addtitle>Dev Cogn Neurosci</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>45</volume><spage>100840</spage><epage>100840</epage><pages>100840-100840</pages><artnum>100840</artnum><issn>1878-9293</issn><eissn>1878-9307</eissn><abstract>•We report longitudinal ERP data of 80 infants in a face-discrimination task.•P1, N290, Nc are all sensitive to faces in five-month-olds.•P1, N290, Nc show equal face-categorization in infants tested longitudinally.•N290 shows less variation in face-categorization trajectories than P1 or Nc.•Visual ERPs increase in amplitude over infancy, but this is not face-specific. From infancy onwards, EEG is widely used to measure face-categorization, i.e. differential brain activity to faces versus non-face stimuli. Four ERP components likely signal infants’ face-sensitivity but reflect different underlying mechanisms: the P1, N290, P400, Nc. We test whether these components reveal similar developmental patterns from early to late infancy, using a longitudinal dataset of 80 infants tested at 5 and 10 months. The P1, N290, and the Nc show face-categorization already in 5-months-olds, a pattern which did not change over time. Development is visible as increased amplitudes in all components, but similar for face and non-face stimuli. By using Markov models, we illustrate that there are differences in the distribution of individual trajectories of face-categorization components from 5 to 10 months. Whereas individual trajectories appear more varied for the Nc and the P1, the N290 reveals a more consistent pattern: a larger proportion of 5-month-olds shows the dominant group response; a larger proportion of 10-month-olds remains in this group, and larger proportions of the alternative trajectories from 5- to 10-month-olds move towards the dominant group. This is vital information when one wants to examine individual differences in infant ERPs related to face-categorization.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>32877890</pmid><doi>10.1016/j.dcn.2020.100840</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-9876-8058</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1878-9293
ispartof Developmental cognitive neuroscience, 2020-10, Vol.45, p.100840-100840, Article 100840
issn 1878-9293
1878-9307
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_eb1b7c773680493baf0d056532ba72ee
source Open Access: PubMed Central; ScienceDirect Journals
subjects Electroencephalography - methods
ERPs
Evoked Potentials - physiology
Face - physiology
Face categorization
Female
Humans
Infant
Infants
Longitudinal
Longitudinal Studies
Male
N290
Original Research
title Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T01%3A56%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Charting%20development%20of%20ERP%20components%20on%20face-categorization:%20Results%20from%20a%20large%20longitudinal%20sample%20of%20infants&rft.jtitle=Developmental%20cognitive%20neuroscience&rft.au=Di%20Lorenzo,%20Renata&rft.date=2020-10-01&rft.volume=45&rft.spage=100840&rft.epage=100840&rft.pages=100840-100840&rft.artnum=100840&rft.issn=1878-9293&rft.eissn=1878-9307&rft_id=info:doi/10.1016/j.dcn.2020.100840&rft_dat=%3Cproquest_doaj_%3E2439979989%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c517t-60bd37a30aa7f826b926545492d0c58c439e301c0a831872bba9ec75909b60ce3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2439979989&rft_id=info:pmid/32877890&rfr_iscdi=true