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Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers
Individual abilities in face recognition (good versus bad recognizers) were explored by means of event-related potentials (ERPs). The adaptation response profile of the N170 component to whole faces, eyes and mouths was used in order to highlight the crucial role of individual abilities in identity...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153130/ https://www.ncbi.nlm.nih.gov/pubmed/34068256 http://dx.doi.org/10.3390/bs11050075 |
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author | Marzi, Tessa Gronchi, Giorgio Turano, Maria Teresa Giovannelli, Fabio Giganti, Fiorenza Rebai, Mohamed Viggiano, Maria Pia |
author_facet | Marzi, Tessa Gronchi, Giorgio Turano, Maria Teresa Giovannelli, Fabio Giganti, Fiorenza Rebai, Mohamed Viggiano, Maria Pia |
author_sort | Marzi, Tessa |
collection | PubMed |
description | Individual abilities in face recognition (good versus bad recognizers) were explored by means of event-related potentials (ERPs). The adaptation response profile of the N170 component to whole faces, eyes and mouths was used in order to highlight the crucial role of individual abilities in identity repetition processes for unfamiliar faces. The main point of this study is to underline the importance of characterizing the performance (bad or good) of the participants and to show that behaviorally selected groups might reveal neural differences. Good recognizers showed selective right hemisphere N170 repetition effects for whole faces and not for features. On the contrary, bad recognizers showed a general repetition effect not specifically related to faces and more pronounced processing for features. These findings suggest a different contribution of holistic and featural analysis in bad and good performers. In conclusion, we propose that the N170 might be used as a tool to tease apart face encoding processes as a function of individual differences. |
format | Online Article Text |
id | pubmed-8153130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81531302021-05-27 Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers Marzi, Tessa Gronchi, Giorgio Turano, Maria Teresa Giovannelli, Fabio Giganti, Fiorenza Rebai, Mohamed Viggiano, Maria Pia Behav Sci (Basel) Article Individual abilities in face recognition (good versus bad recognizers) were explored by means of event-related potentials (ERPs). The adaptation response profile of the N170 component to whole faces, eyes and mouths was used in order to highlight the crucial role of individual abilities in identity repetition processes for unfamiliar faces. The main point of this study is to underline the importance of characterizing the performance (bad or good) of the participants and to show that behaviorally selected groups might reveal neural differences. Good recognizers showed selective right hemisphere N170 repetition effects for whole faces and not for features. On the contrary, bad recognizers showed a general repetition effect not specifically related to faces and more pronounced processing for features. These findings suggest a different contribution of holistic and featural analysis in bad and good performers. In conclusion, we propose that the N170 might be used as a tool to tease apart face encoding processes as a function of individual differences. MDPI 2021-05-13 /pmc/articles/PMC8153130/ /pubmed/34068256 http://dx.doi.org/10.3390/bs11050075 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marzi, Tessa Gronchi, Giorgio Turano, Maria Teresa Giovannelli, Fabio Giganti, Fiorenza Rebai, Mohamed Viggiano, Maria Pia Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title | Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title_full | Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title_fullStr | Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title_full_unstemmed | Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title_short | Mapping the Featural and Holistic Face Processing of Bad and Good Face Recognizers |
title_sort | mapping the featural and holistic face processing of bad and good face recognizers |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8153130/ https://www.ncbi.nlm.nih.gov/pubmed/34068256 http://dx.doi.org/10.3390/bs11050075 |
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