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Related Experiment Video

Updated: May 29, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

Direct structural connections between voice- and face-recognition areas.

Helen Blank¹, Alfred Anwander, Katharina von Kriegstein

¹Max Planck Institute for Human Cognitive and Brain Sciences, 04103 Leipzig, Germany. hblank@cbs.mpg.de

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience

|September 9, 2011

Summary

This summary is machine-generated.

Direct brain connections between voice and face areas, specifically the fusiform face area (FFA) and superior temporal sulcus (STS), support person recognition. This finding challenges the conventional model of information integration.

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fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Related Experiment Videos

Last Updated: May 29, 2026

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Memorization-Based Training and Testing Paradigm for Robust Vocal Identity Recognition in Expressive Speech Using Event-Related Potentials Analysis

Published on: August 9, 2024

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

fMRI Mapping of Brain Activity Associated with the Vocal Production of Consonant and Dissonant Intervals

Published on: May 23, 2017

Area of Science:

Neuroscience
Cognitive Neuroscience
Neuroimaging

Background:

Two models exist for integrating voice and face information for person identity recognition: one suggests integration at a supramodal stage, while another proposes direct interactions between voice- and face-processing areas.
The direct interaction model posits that these connections are behaviorally relevant for optimizing person recognition.

Purpose of the Study:

To investigate direct structural connections between voice- and face-processing cortical areas.
To determine if these connections support the alternative model of person identity recognition.

Main Methods:

Combined functional magnetic resonance imaging (fMRI) and diffusion magnetic resonance imaging (dMRI).
Localized voice-sensitive areas in the superior temporal sulcus (STS) and face-sensitive areas in the fusiform gyrus [fusiform face area (FFA)] at the individual subject level.
Employed probabilistic tractography to analyze structural connectivity.

Main Results:

Evidence of direct structural connections between the fusiform face area (FFA) and voice-sensitive areas in the STS.
The FFA showed stronger structural connectivity with middle and anterior STS voice areas compared to posterior STS areas.
This specific connectivity pattern supports the existence of direct links between face and voice recognition regions.

Conclusions:

The findings indicate direct structural links between face and voice recognition areas in the brain.
These direct connections likely play a role in optimizing human person recognition.
The results provide evidence supporting the alternative model of direct interaction between voice and face processing areas.