Cargando…

A Brain Network Processing the Age of Faces

Age is one of the most salient aspects in faces and of fundamental cognitive and social relevance. Although face processing has been studied extensively, brain regions responsive to age have yet to be localized. Using evocative face morphs and fMRI, we segregate two areas extending beyond the previo...

Descripción completa

Detalles Bibliográficos
Autores principales: Homola, György A., Jbabdi, Saad, Beckmann, Christian F., Bartsch, Andreas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502502/
https://www.ncbi.nlm.nih.gov/pubmed/23185334
http://dx.doi.org/10.1371/journal.pone.0049451
_version_ 1782250353879678976
author Homola, György A.
Jbabdi, Saad
Beckmann, Christian F.
Bartsch, Andreas J.
author_facet Homola, György A.
Jbabdi, Saad
Beckmann, Christian F.
Bartsch, Andreas J.
author_sort Homola, György A.
collection PubMed
description Age is one of the most salient aspects in faces and of fundamental cognitive and social relevance. Although face processing has been studied extensively, brain regions responsive to age have yet to be localized. Using evocative face morphs and fMRI, we segregate two areas extending beyond the previously established face-sensitive core network, centered on the inferior temporal sulci and angular gyri bilaterally, both of which process changes of facial age. By means of probabilistic tractography, we compare their patterns of functional activation and structural connectivity. The ventral portion of Wernicke's understudied perpendicular association fasciculus is shown to interconnect the two areas, and activation within these clusters is related to the probability of fiber connectivity between them. In addition, post-hoc age-rating competence is found to be associated with high response magnitudes in the left angular gyrus. Our results provide the first evidence that facial age has a distinct representation pattern in the posterior human brain. We propose that particular face-sensitive nodes interact with additional object-unselective quantification modules to obtain individual estimates of facial age. This brain network processing the age of faces differs from the cortical areas that have previously been linked to less developmental but instantly changeable face aspects. Our probabilistic method of associating activations with connectivity patterns reveals an exemplary link that can be used to further study, assess and quantify structure-function relationships.
format Online
Article
Text
id pubmed-3502502
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-35025022012-11-26 A Brain Network Processing the Age of Faces Homola, György A. Jbabdi, Saad Beckmann, Christian F. Bartsch, Andreas J. PLoS One Research Article Age is one of the most salient aspects in faces and of fundamental cognitive and social relevance. Although face processing has been studied extensively, brain regions responsive to age have yet to be localized. Using evocative face morphs and fMRI, we segregate two areas extending beyond the previously established face-sensitive core network, centered on the inferior temporal sulci and angular gyri bilaterally, both of which process changes of facial age. By means of probabilistic tractography, we compare their patterns of functional activation and structural connectivity. The ventral portion of Wernicke's understudied perpendicular association fasciculus is shown to interconnect the two areas, and activation within these clusters is related to the probability of fiber connectivity between them. In addition, post-hoc age-rating competence is found to be associated with high response magnitudes in the left angular gyrus. Our results provide the first evidence that facial age has a distinct representation pattern in the posterior human brain. We propose that particular face-sensitive nodes interact with additional object-unselective quantification modules to obtain individual estimates of facial age. This brain network processing the age of faces differs from the cortical areas that have previously been linked to less developmental but instantly changeable face aspects. Our probabilistic method of associating activations with connectivity patterns reveals an exemplary link that can be used to further study, assess and quantify structure-function relationships. Public Library of Science 2012-11-20 /pmc/articles/PMC3502502/ /pubmed/23185334 http://dx.doi.org/10.1371/journal.pone.0049451 Text en © 2012 Homola et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Homola, György A.
Jbabdi, Saad
Beckmann, Christian F.
Bartsch, Andreas J.
A Brain Network Processing the Age of Faces
title A Brain Network Processing the Age of Faces
title_full A Brain Network Processing the Age of Faces
title_fullStr A Brain Network Processing the Age of Faces
title_full_unstemmed A Brain Network Processing the Age of Faces
title_short A Brain Network Processing the Age of Faces
title_sort brain network processing the age of faces
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3502502/
https://www.ncbi.nlm.nih.gov/pubmed/23185334
http://dx.doi.org/10.1371/journal.pone.0049451
work_keys_str_mv AT homolagyorgya abrainnetworkprocessingtheageoffaces
AT jbabdisaad abrainnetworkprocessingtheageoffaces
AT beckmannchristianf abrainnetworkprocessingtheageoffaces
AT bartschandreasj abrainnetworkprocessingtheageoffaces
AT homolagyorgya brainnetworkprocessingtheageoffaces
AT jbabdisaad brainnetworkprocessingtheageoffaces
AT beckmannchristianf brainnetworkprocessingtheageoffaces
AT bartschandreasj brainnetworkprocessingtheageoffaces