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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
Published on: November 8, 2012
The improbable simplicity of the fusiform face area
Kevin S Weiner1, Kalanit Grill-Spector
1Department of Psychology, Stanford University, Stanford, CA 94305, USA. kweiner@stanford.edu
Trends in Cognitive Sciences
|April 7, 2012
Summary
The fusiform face area (FFA) is not a simple module. Its complex organization in the ventral temporal cortex (VTC) varies due to methodological factors, emphasizing the importance of anatomical constraints.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- The fusiform face area (FFA) is traditionally viewed as a distinct module for face processing.
- Emerging evidence suggests a more complex organization of face-selective regions within the ventral temporal cortex (VTC).
Purpose of the Study:
- To investigate the complexity of face-selective regions in the VTC beyond the prevailing view of the FFA as a simple module.
- To identify methodological factors contributing to variability in FFA identification.
- To propose criteria for defining functionally specialized regions, emphasizing anatomical relevance.
Main Methods:
- Review of existing neuroimaging studies on face processing.
- Analysis of methodological variations in defining the FFA.
- Comparative analysis of functional and anatomical data.
Main Results:
- The organization of face-selective regions in the VTC is more intricate than the simple modular view of the FFA.
- Significant variability exists in how the FFA is identified across studies, often linked to methodological differences.
- Anatomical landmarks play a crucial role in the consistent identification of functionally specialized regions.
Conclusions:
- The prevailing view of the FFA as a simple, easily identifiable module is an oversimplification.
- Methodological inconsistencies contribute significantly to the observed variability in FFA localization.
- A framework incorporating anatomical constraints is essential for robustly defining functionally specialized regions in the VTC.
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