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Fully optimized discrimination of physiological responses to auditory stimuli

Stepan Y Kruglikov1,2, Sharmila Chari1, Paul E Rapp3, Steven L Weinstein1,4, Barbara K Given1,5 and Steven J Schiff1,6,7

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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.


PACS

43.64.Me Effects of electrical stimulation, cochlear implant

87.80.-y Biophysical techniques (research methods)

02.70.Rr General statistical methods

43.64.Pg Electrophysiology of the auditory nerve

87.19.R- Mechanical and electrical properties of tissues and organs

87.19.L- Neuroscience

Subjects

Computational physics

Instrumentation and measurement

Medical physics

Biological physics

Dates

Issue 2 (June 2008)

Received 19 November 2007, accepted for publication 19 March 2008

Published 22 April 2008



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