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Gender differences in the temporal voice areas.

Merle-Marie Ahrens1, Bashar Awwad Shiekh Hasan2, Bruno L Giordano2

  • 1Centre for Cognitive Neuroimaging, Institute of Neuroscience and Psychology, University of Glasgow Glasgow, UK ; Institut des Neurosciences de la Timone, UMR 7289, CNRS and Université Aix-Marseille Marseille, France.

Frontiers in Neuroscience
|August 16, 2014
PubMed
Summary
This summary is machine-generated.

Gender differences in brain activity during voice perception were explored using functional magnetic resonance imaging (fMRI). Multivariate pattern analysis (MVPA) revealed distinct neural patterns in temporal lobe regions between male and female listeners.

Keywords:
fMRIgender differencemultivariate pattern analysis (MVPA)temporal voice areasvoice localizervoice perception

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Cognitive Neuroscience

Background:

  • Behavioral differences in voice perception exist between genders.
  • Emerging evidence suggests potential differences in neural correlates of voice processing between sexes.
  • Functional magnetic resonance imaging (fMRI) using univariate analysis effectively identifies temporal voice areas (TVAs).

Purpose of the Study:

  • To map voice-related brain areas in both female and male listeners.
  • To investigate potential gender-specific differences in neural representations of voice.
  • To compare univariate and multivariate analysis approaches for localizing voice processing regions.

Main Methods:

  • Utilized a functional voice localizer task with fMRI.
  • Performed univariate analysis and random effects analysis on large cohorts of female (n=149) and male (n=123) listeners.
  • Implemented multivariate pattern analysis (MVPA) with a whole-brain searchlight approach and statistical non-parametric mapping (SnPM).

Main Results:

  • Gender differences in voice perception were exclusively identified using MVPA, not univariate analysis.
  • Significant differences in classifier performance were observed between genders.
  • Higher classification accuracy in female listeners was found in several temporal lobe regions, including bilateral middle temporal gyrus and right superior temporal gyrus.

Conclusions:

  • Multivariate pattern analysis (MVPA) is more sensitive than univariate analysis for detecting subtle gender differences in neural voice processing.
  • Neural correlates of voice perception exhibit gender-specific patterns, particularly within temporal lobe regions.
  • Female listeners demonstrated enhanced classification accuracy for voice stimuli in specific brain areas.