Cargando…

Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach

BACKGROUND: In this study, we quantified age-related changes in the time-course of face processing by means of an innovative single-trial ERP approach. Unlike analyses used in previous studies, our approach does not rely on peak measurements and can provide a more sensitive measure of processing del...

Descripción completa

Detalles Bibliográficos
Autores principales: Rousselet, Guillaume A, Husk, Jesse S, Pernet, Cyril R, Gaspar, Carl M, Bennett, Patrick J, Sekuler, Allison B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2746225/
https://www.ncbi.nlm.nih.gov/pubmed/19740414
http://dx.doi.org/10.1186/1471-2202-10-114
_version_ 1782172026816954368
author Rousselet, Guillaume A
Husk, Jesse S
Pernet, Cyril R
Gaspar, Carl M
Bennett, Patrick J
Sekuler, Allison B
author_facet Rousselet, Guillaume A
Husk, Jesse S
Pernet, Cyril R
Gaspar, Carl M
Bennett, Patrick J
Sekuler, Allison B
author_sort Rousselet, Guillaume A
collection PubMed
description BACKGROUND: In this study, we quantified age-related changes in the time-course of face processing by means of an innovative single-trial ERP approach. Unlike analyses used in previous studies, our approach does not rely on peak measurements and can provide a more sensitive measure of processing delays. Young and old adults (mean ages 22 and 70 years) performed a non-speeded discrimination task between two faces. The phase spectrum of these faces was manipulated parametrically to create pictures that ranged between pure noise (0% phase information) and the undistorted signal (100% phase information), with five intermediate steps. RESULTS: Behavioural 75% correct thresholds were on average lower, and maximum accuracy was higher, in younger than older observers. ERPs from each subject were entered into a single-trial general linear regression model to identify variations in neural activity statistically associated with changes in image structure. The earliest age-related ERP differences occurred in the time window of the N170. Older observers had a significantly stronger N170 in response to noise, but this age difference decreased with increasing phase information. Overall, manipulating image phase information had a greater effect on ERPs from younger observers, which was quantified using a hierarchical modelling approach. Importantly, visual activity was modulated by the same stimulus parameters in younger and older subjects. The fit of the model, indexed by R(2), was computed at multiple post-stimulus time points. The time-course of the R(2 )function showed a significantly slower processing in older observers starting around 120 ms after stimulus onset. This age-related delay increased over time to reach a maximum around 190 ms, at which latency younger observers had around 50 ms time lead over older observers. CONCLUSION: Using a component-free ERP analysis that provides a precise timing of the visual system sensitivity to image structure, the current study demonstrates that older observers accumulate face information more slowly than younger subjects. Additionally, the N170 appears to be less face-sensitive in older observers.
format Text
id pubmed-2746225
institution National Center for Biotechnology Information
language English
publishDate 2009
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-27462252009-09-18 Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach Rousselet, Guillaume A Husk, Jesse S Pernet, Cyril R Gaspar, Carl M Bennett, Patrick J Sekuler, Allison B BMC Neurosci Research Article BACKGROUND: In this study, we quantified age-related changes in the time-course of face processing by means of an innovative single-trial ERP approach. Unlike analyses used in previous studies, our approach does not rely on peak measurements and can provide a more sensitive measure of processing delays. Young and old adults (mean ages 22 and 70 years) performed a non-speeded discrimination task between two faces. The phase spectrum of these faces was manipulated parametrically to create pictures that ranged between pure noise (0% phase information) and the undistorted signal (100% phase information), with five intermediate steps. RESULTS: Behavioural 75% correct thresholds were on average lower, and maximum accuracy was higher, in younger than older observers. ERPs from each subject were entered into a single-trial general linear regression model to identify variations in neural activity statistically associated with changes in image structure. The earliest age-related ERP differences occurred in the time window of the N170. Older observers had a significantly stronger N170 in response to noise, but this age difference decreased with increasing phase information. Overall, manipulating image phase information had a greater effect on ERPs from younger observers, which was quantified using a hierarchical modelling approach. Importantly, visual activity was modulated by the same stimulus parameters in younger and older subjects. The fit of the model, indexed by R(2), was computed at multiple post-stimulus time points. The time-course of the R(2 )function showed a significantly slower processing in older observers starting around 120 ms after stimulus onset. This age-related delay increased over time to reach a maximum around 190 ms, at which latency younger observers had around 50 ms time lead over older observers. CONCLUSION: Using a component-free ERP analysis that provides a precise timing of the visual system sensitivity to image structure, the current study demonstrates that older observers accumulate face information more slowly than younger subjects. Additionally, the N170 appears to be less face-sensitive in older observers. BioMed Central 2009-09-09 /pmc/articles/PMC2746225/ /pubmed/19740414 http://dx.doi.org/10.1186/1471-2202-10-114 Text en Copyright © 2009 Rousselet et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rousselet, Guillaume A
Husk, Jesse S
Pernet, Cyril R
Gaspar, Carl M
Bennett, Patrick J
Sekuler, Allison B
Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title_full Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title_fullStr Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title_full_unstemmed Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title_short Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
title_sort age-related delay in information accrual for faces: evidence from a parametric, single-trial eeg approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2746225/
https://www.ncbi.nlm.nih.gov/pubmed/19740414
http://dx.doi.org/10.1186/1471-2202-10-114
work_keys_str_mv AT rousseletguillaumea agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach
AT huskjesses agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach
AT pernetcyrilr agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach
AT gasparcarlm agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach
AT bennettpatrickj agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach
AT sekulerallisonb agerelateddelayininformationaccrualforfacesevidencefromaparametricsingletrialeegapproach