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

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 component...

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Main Authors: Renata Di Lorenzo, Carlijn van den Boomen, Chantal Kemner, Caroline Junge
Format: Article
Language:English
Published: Elsevier 2020-10-01
Series:Developmental Cognitive Neuroscience
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1878929320300888
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author Renata Di Lorenzo
Carlijn van den Boomen
Chantal Kemner
Caroline Junge
author_facet Renata Di Lorenzo
Carlijn van den Boomen
Chantal Kemner
Caroline Junge
author_sort Renata Di Lorenzo
collection DOAJ
description 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.
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spelling doaj.art-eb1b7c773680493baf0d056532ba72ee2022-12-21T18:55:24ZengElsevierDevelopmental Cognitive Neuroscience1878-92932020-10-0145100840Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infantsRenata Di Lorenzo0Carlijn van den Boomen1Chantal Kemner2Caroline Junge3Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands; Developmental Psychology, Utrecht University, the Netherlands; Corresponding author at: Department of Experimental Psychology, Utrecht University, Heidelberglaan 1, 3584 CS Utrecht, the Netherlands.Experimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands; Developmental Psychology, Utrecht University, the NetherlandsExperimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands; Developmental Psychology, Utrecht University, the Netherlands; Brain Center Rudolf Magnus, University Medical Center Utrecht, the NetherlandsExperimental Psychology, Helmholtz Institute, Utrecht University, the Netherlands; Developmental Psychology, Utrecht University, the NetherlandsFrom 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.http://www.sciencedirect.com/science/article/pii/S1878929320300888Face categorizationERPsInfantsN290Longitudinal
spellingShingle Renata Di Lorenzo
Carlijn van den Boomen
Chantal Kemner
Caroline Junge
Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
Developmental Cognitive Neuroscience
Face categorization
ERPs
Infants
N290
Longitudinal
title Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
title_full Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
title_fullStr Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
title_full_unstemmed Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
title_short Charting development of ERP components on face-categorization: Results from a large longitudinal sample of infants
title_sort charting development of erp components on face categorization results from a large longitudinal sample of infants
topic Face categorization
ERPs
Infants
N290
Longitudinal
url http://www.sciencedirect.com/science/article/pii/S1878929320300888
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