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Related Experiment Video

Updated: May 29, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

White-matter connectivity between face-responsive regions in the human brain.

Markus Gschwind¹, Gilles Pourtois, Sophie Schwartz

¹Laboratory for Behavioral Neurology and Imaging of Cognition, Department of Neuroscience, Faculty of Medicine, University of Geneva, CH-1211 Geneva, Switzerland. markus.gschwind@gmail.com

Cerebral Cortex (New York, N.Y. : 1991)

|September 7, 2011

Summary

This study maps the brain

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Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Face recognition is crucial for social interaction.
The brain networks underlying face recognition are not fully understood.
Existing cognitive models predict specific interconnections between face-responsive regions.

Purpose of the Study:

To elucidate the white-matter pathways connecting functionally defined face-responsive brain regions.
To investigate the structural architecture of the human face recognition system.
To test predictions from current cognitive models regarding anatomical connections.

Main Methods:

Functional magnetic resonance imaging (fMRI) to identify face-responsive areas.
Diffusion tensor imaging (DTI) with probabilistic tractography to map white-matter connections.
Analysis of connections between the occipital face area (OFA), fusiform face area (FFA), and superior temporal sulcus (STS).

Main Results:

Strong white-matter connections were found between the occipital face area (OFA) and fusiform face area (FFA), predominantly in the right hemisphere.
No direct anatomical connections were observed between FFA and superior temporal sulcus (STS), or between OFA and STS.
Segregated processing pathways were identified: a ventral pathway (OFA-FFA) and a dorsal pathway (STS-related).
Direct connections from early occipital areas to the amygdala suggest rapid emotional processing of visual input.

Conclusions:

The study reveals the structural neural architecture of the human face recognition system.
Findings challenge existing cognitive models by demonstrating segregated processing streams rather than fully integrated networks.
The direct OFA-FFA connection and amygdala pathways offer new insights into face perception and emotional processing.