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Neural Trade-Offs between Recognizing and Categorizing Own- and Other-Race Faces
Jiangang Liu1, Zhe Wang2, Lu Feng3
1School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China Dr. Eric Jackman Institute of Child Study, University of Toronto, Toronto, Canada.
Neural mechanisms reveal a trade-off in face processing. Recognizing and categorizing faces involves distinct brain activity patterns, especially for own- versus other-race faces, highlighting expertise differences.
Area of Science:
- Neuroscience
- Cognitive Psychology
- Social Neuroscience
Background:
- Behavioral studies indicate a trade-off between recognizing and categorizing faces based on race.
- This trade-off is a key indicator of face processing expertise.
- Neural underpinnings of this behavioral phenomenon remain largely unexplored.
Purpose of the Study:
- To investigate the neural mechanisms underlying the trade-off between face recognition and race categorization.
- To examine how the brain processes own- and other-race faces differently during these tasks.
Main Methods:
- Functional magnetic resonance imaging (fMRI) was employed to monitor brain activity.
- Participants concurrently performed face recognition and race categorization tasks for both own- and other-race faces.
Main Results:
- For other-race faces, the fusiform face area (FFA) and occipital face area (OFA) showed greater activation for recognition than categorization.
- Own-race faces elicited similar responses in FFA and OFA for both tasks.
- The right superior temporal sulcus (STS) exhibited opposing response patterns compared to FFA and OFA.
- Functional connectivity analyses revealed task- and race-dependent modulations between FFA/OFA and STS.
Conclusions:
- Neural substrates for face recognition and categorization are shared, but their activation and connectivity are modulated by face race and task demands.
- Differential processing expertise with own- and other-race faces underlies these observed neural trade-offs within the core face processing network.
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