A1 Journal article (refereed)
Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect (2022)

Chen, C., Lou, Y., Li, H., Yuan, J., Yang, J., Winskel, H., & Qin, S. (2022). Distinct neural-behavioral correspondence within face processing and attention networks for the composite face effect. Neuroimage, 246, Article 118756. https://doi.org/10.1016/j.neuroimage.2021.118756

JYU authors or editors

Publication details

All authors or editors: Chen, Changming; Lou, Yixue; Li, Hong; Yuan, Jiajin; Yang, Jiemin; Winskel, Heather; Qin, Shaozheng

Journal or series: Neuroimage

ISSN: 1053-8119

eISSN: 1095-9572

Publication year: 2022

Volume: 246

Article number: 118756

Publisher: Elsevier

Publication country: Netherlands

Publication language: English

DOI: https://doi.org/10.1016/j.neuroimage.2021.118756

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/78940

Abstract

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 the 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.

Keywords: face recognition (cognition); attention; functional magnetic resonance imaging

Free keywords: representational similarity analysis; insula; fusiform gyrus; composite face effect

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 2