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Updated: Jun 10, 2026
08:16
Determining Ultrasonic Vocalization Preferences in Mice using a Two-choice Playback Test
Published on: September 3, 2015
A temporal hierarchy for conspecific vocalization discrimination in humans
Marzia De Lucia1, Stephanie Clarke, Micah M Murray
1Electroencephalography Brain Mapping Core, Center for Biomedical Imaging, Vaudois University Hospital Center and University of Lausanne, 1011 Lausanne, Switzerland.
Summary
Human brain networks distinguish between human and animal sounds using specific timing and distributed processing, not specialized brain regions. This vocalization discrimination occurs hierarchically, similar to object recognition.
Area of Science:
- Neuroscience
- Auditory Processing
- Brain Networks
Background:
- The neurophysiologic basis of distinguishing between conspecific vocalizations is debated, particularly concerning specialized neural mechanisms.
- Existing research lacks a clear understanding of the spatiotemporal brain dynamics involved in vocalization discrimination.
Purpose of the Study:
- To identify the spatiotemporal brain mechanisms underlying conspecific vocalization discrimination in humans.
- To investigate whether vocalization discrimination involves specialized neural machinery or distributed network dynamics.
Main Methods:
- Electrical neuroimaging analysis of auditory evoked potentials (AEPs).
- Stimuli included acoustically and psychophysically controlled nonverbal human and animal vocalizations, and man-made object sounds.
- Analysis focused on AEP strength and topographic modulations across different sound categories and latencies.
Main Results:
- AEPs showed significantly stronger responses to human versus animal vocalizations (169-219 ms) in the right superior temporal sulcus/gyrus, without topographic changes.
- This was followed by modulations in the left inferior prefrontal and precentral gyri (291-357 ms), indicating functionally coupled, distributed processing stages.
- Vocalization discrimination occurred approximately 100 ms after general categorization, suggesting hierarchical processing, and was not functionally specialized.
Conclusions:
- Vocalization discrimination involves temporally segregated but functionally coupled brain networks, challenging conventional views of strict functional specialization.
- The processing is hierarchical, not faster than general categorization, and occurs synchronously with face discrimination.
- Evidence suggests that vocalization discrimination relies on distributed network dynamics rather than dedicated neural machinery.
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