Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect
The composite face effect (CFE) is recognized as a hallmark for holistic face processing, but our knowledge remains sparse about its cognitive and neural loci. Using functional magnetic resonance imaging with independent localizer and complete composite face task, we here investigated its neural-beh...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-02-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811921010284 |
| _version_ | 1819283873417134080 |
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| author | Changming Chen Yixue Lou Hong Li Jiajin Yuan Jiemin Yang Heather Winskel Shaozheng Qin |
| author_facet | Changming Chen Yixue Lou Hong Li Jiajin Yuan Jiemin Yang Heather Winskel Shaozheng Qin |
| author_sort | Changming Chen |
| collection | DOAJ |
| description | The composite face effect (CFE) is recognized as a hallmark for holistic face processing, but our knowledge remains sparse about its cognitive and neural loci. Using functional magnetic resonance imaging with independent localizer and complete composite face task, we here investigated its neural-behavioral correspondence within face processing and attention networks. Complementing classical comparisons, we adopted a dimensional reduction approach to explore the core cognitive constructs of the behavioral CFE measurement. Our univariate analyses found an alignment effect in regions associated with both the extended face processing network and attention networks. Further representational similarity analyses based on Euclidian distances among all experimental conditions were used to identify cortical regions with reliable neural-behavioral correspondences. Multidimensional scaling and hierarchical clustering analyses for neural-behavioral correspondence data revealed two principal components underlying the behavioral CFE effect, which fit best to the neural responses in the bilateral insula and medial frontal gyrus. These findings highlight the distinct neurocognitive contributions of both face processing and attentional networks to the behavioral CFE outcome, which bridge the gaps between face recognition and attentional control models. |
| first_indexed | 2024-12-24T01:38:24Z |
| format | Article |
| id | doaj.art-25db48ae770149bf8e51d9b6d66bfc7c |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-12-24T01:38:24Z |
| publishDate | 2022-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-25db48ae770149bf8e51d9b6d66bfc7c2022-12-21T17:22:07ZengElsevierNeuroImage1095-95722022-02-01246118756Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effectChangming Chen0Yixue Lou1Hong Li2Jiajin Yuan3Jiemin Yang4Heather Winskel5Shaozheng Qin6School of Education, Chongqing Normal University, Chongqing 401331, ChinaDepartment of Psychology, Faculty of Education and Psychology, University of Jyvaskyla, Jyväskylä 40014, Finland; Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610054, Sichuan, ChinaCentre for Studies of Psychological Applications, Guangdong Key Laboratory of Mental Health and Cognitive Science, Key Laboratory of Brain Cognition and Educational Science, Ministry of Education, School of Psychology, South China Normal University, Guangzhou 510631, Guangdong, China; Institute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610054, Sichuan, China; School of Psychology, South China Normal University, Guangzhou 510631, ChinaInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610054, Sichuan, China; Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610066, ChinaInstitute for Brain and Psychological Sciences, Sichuan Normal University, Chengdu 610054, Sichuan, ChinaPsychology, James Cook University, Singapore Campus, 387380, SingaporeState Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Chinese Institute for Brain Research, Beijing, ChinaThe composite face effect (CFE) is recognized as a hallmark for holistic face processing, but our knowledge remains sparse about its cognitive and neural loci. Using functional magnetic resonance imaging with independent localizer and complete composite face task, we here investigated its neural-behavioral correspondence within face processing and attention networks. Complementing classical comparisons, we adopted a dimensional reduction approach to explore the core cognitive constructs of the behavioral CFE measurement. Our univariate analyses found an alignment effect in regions associated with both the extended face processing network and attention networks. Further representational similarity analyses based on Euclidian distances among all experimental conditions were used to identify cortical regions with reliable neural-behavioral correspondences. Multidimensional scaling and hierarchical clustering analyses for neural-behavioral correspondence data revealed two principal components underlying the behavioral CFE effect, which fit best to the neural responses in the bilateral insula and medial frontal gyrus. These findings highlight the distinct neurocognitive contributions of both face processing and attentional networks to the behavioral CFE outcome, which bridge the gaps between face recognition and attentional control models.http://www.sciencedirect.com/science/article/pii/S1053811921010284Face recognitionFunctional magnetic resonance imagingRepresentational similarity analysisInsulaFusiform gyrusComposite face effect |
| spellingShingle | Changming Chen Yixue Lou Hong Li Jiajin Yuan Jiemin Yang Heather Winskel Shaozheng Qin Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect NeuroImage Face recognition Functional magnetic resonance imaging Representational similarity analysis Insula Fusiform gyrus Composite face effect |
| title | Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect |
| title_full | Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect |
| title_fullStr | Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect |
| title_full_unstemmed | Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect |
| title_short | Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect |
| title_sort | distinct neural behavioral correspondence within face processing and attention networks for the composite face effect |
| topic | Face recognition Functional magnetic resonance imaging Representational similarity analysis Insula Fusiform gyrus Composite face effect |
| url | http://www.sciencedirect.com/science/article/pii/S1053811921010284 |
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