Multimodal mapping of the face connectome

Area of Science:

• Neuroscience
• Cognitive Science
• Neuroimaging

Background:

• Face processing is crucial for social cognition, enabling recognition and emotional understanding.
• The neural network underlying face processing is distributed but its interactions remain unclear.

Purpose of the Study:

• To create a global model of the face connectome by integrating anatomical and functional connectivity data.
• To propose a neurocognitive model for face processing streams and their characteristics.

Main Methods:

• Integration of anatomical and functional connectivity measurements.
• Behavioral assays to assess face processing capabilities.
• Analysis of network topology and fiber composition.

Main Results:

• A neurocognitive model with three parallel and reciprocal processing streams was proposed.
• The face network is predominantly characterized by short-range fibers, despite the importance of long-range connections.
• Right-lateralized face processing is linked to imbalanced inter- and intra-hemispheric connections.

Conclusions:

• The face network relies on dynamic communication across structured fiber tracts.
• This network enables coherent face processing, supporting complex social behaviors and cognition.