Quantifying the adequacy of neural representations for a cross-language phonetic discrimination task: Prediction of individual differences

Rajeev D.S. Raizada, Feng Ming Tsao, Huei Mei Liu, Patricia K. Kuhl

Research output: Contribution to journalArticlepeer-review

55 Citations (Scopus)

Abstract

In order for stimuli to be perceptually discriminable, their representations in the brain must be distinct. Investigating the task of discriminating the syllables /ra/ and /la/, we hypothesized that the more distinct a person's neural representations of those sounds were, the better their behavioral ability to discriminate them would be. Standard neuroimaging approaches are ill-suited to testing this hypothesis as they have problems differentiating between neural representations spatially intermingled within the same brain area. We therefore performed multi-voxel pattern-based analysis of the functional magnetic resonance imaging (fMRI) activity elicited by these syllables, in native speakers of English and Japanese. In right primary auditory cortex, the statistical separability of these fMRI patterns predicted subjects' behavioral ability to tell the sounds apart, not only across groups but also across individuals. This opens up a new approach for identifying neural representations and for quantifying their task suitability.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalCerebral Cortex
Volume20
Issue number1
DOIs
Publication statusPublished - 2010 Jan

Keywords

  • Auditory cortex
  • Classifier
  • Nonnative language
  • Pattern-based fMRI
  • SVM

ASJC Scopus subject areas

  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience

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