Fully optimized discrimination of physiological responses to auditory stimuli

Stepan Y. Kruglikov, Sharmila Chari, Paul E. Rapp, Steven L. Weinstein, Barbara K. Given, Steven J. Schiff

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The use of multivariate measurements to characterize brain activity (electrical, magnetic, optical) is widespread. The most common approaches to reduce the complexity of such observations include principal and independent component analyses (PCA and ICA), which are not well suited for discrimination tasks. We addressed two questions: first, how do the neurophysiological responses to elongated phonemes relate to tone and phoneme responses in normal children, and, second, how discriminable are these responses. We employed fully optimized linear discrimination analysis to maximally separate the multi-electrode responses to tones and phonemes, and classified the response to elongated phonemes. We find that discrimination between tones and phonemes is dependent upon responses from associative regions of the brain apparently distinct from the primary sensory cortices typically emphasized by PCA or ICA, and that the neuronal correlates corresponding to elongated phonemes are highly variable in normal children (about half respond with neural correlates of tones and half as phonemes). Our approach is made feasible by the increase in computational power of ordinary personal computers and has significant advantages for a wide range of neuronal imaging modalities.

Original languageEnglish (US)
Pages (from-to)133-143
Number of pages11
JournalJournal of neural engineering
Volume5
Issue number2
DOIs
StatePublished - Jun 1 2008

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Cellular and Molecular Neuroscience

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