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Accepted (AM)Open Access (License Unspecified), Open
Journal article
Fully optimized discrimination of physiological responses to auditory stimuli
Journal of neural engineering, v 5(2), pp 133-143
01 Jun 2008
PMID: 18430975
Featured in Collection : UN Sustainable Development Goals @ Drexel
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.
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Details
- Title
- Fully optimized discrimination of physiological responses to auditory stimuli
- Creators
- Stepan Y. Kruglikov - George Mason UniversitySharmila Chari - George Mason UniversityPaul E. Rapp - Drexel UniversitySteven L. Weinstein - Children's NationalBarbara K. Given - George Mason UniversitySteven J. Schiff - Pennsylvania State University
- Publication Details
- Journal of neural engineering, v 5(2), pp 133-143
- Publisher
- Iop Publishing Ltd
- Number of pages
- 11
- Grant note
- K02MH01493; K02 MH001493; K02 MH001493-10 / NIMH NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) F31DC005651 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD) K02MH001493 / NATIONAL INSTITUTE OF MENTAL HEALTH; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of Mental Health (NIMH) F31 DC005651-02; F31DC05651; F31 DC005651 / NIDCD NIH HHS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000257253800004
- Scopus ID
- 2-s2.0-47349122250
- Other Identifier
- 991019330805404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Engineering, Biomedical
- Neurosciences