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Distinct neural-behavioral correspondence within face processing and attention networks for the composite face
Changming Chen1, Yixue Lou2, Hong Li3
1School of Education, Chongqing Normal University, Chongqing 401331, China.
Neuroimage
|December 1, 2021
Summary
The composite face effect (CFE) reveals how the brain processes faces holistically. This study used fMRI to pinpoint brain regions, including the insula and medial frontal gyrus, crucial for this effect and attentional control.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Psychology
Background:
- The composite face effect (CFE) is a key indicator of holistic face processing.
- Understanding the cognitive and neural basis of CFE is limited.
Purpose of the Study:
- Investigate the neural-behavioral correspondence of CFE within face processing and attention networks.
- Explore core cognitive constructs of behavioral CFE measurement using dimensional reduction.
Main Methods:
- Functional magnetic resonance imaging (fMRI) with independent localizer and composite face task.
- Univariate analyses and representational similarity analyses (RSA).
- Multidimensional scaling (MDS) and hierarchical clustering for neural-behavioral correspondence.
Main Results:
- Alignment effect observed in face processing and attention network regions.
- RSA identified cortical regions with reliable neural-behavioral correspondences.
- MDS and clustering revealed two principal components for CFE, linked to bilateral insula and medial frontal gyrus.
Conclusions:
- Distinct neurocognitive contributions from face processing and attention networks underlie CFE.
- Findings bridge face recognition and attentional control models.
- Highlights the role of the insula and medial frontal gyrus in holistic face processing.
Keywords:
Composite face effectFace recognitionFunctional magnetic resonance imagingFusiform gyrusInsulaRepresentational similarity analysisMore Related Videos
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