Wavelet Decomposition-Based Analysis of Mismatch Negativity Elicited by a Multi-Feature Paradigm
In this study, event-related potentials (ERPs) collected from normally hearing subjects and elicited by a multi-feature paradigm were investigated, and mismatch negativity (MMN) was detected. Standard stimuli and five types of deviant stimuli were presented in a specified sequence, while EEG dat...
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| Date: | 2014 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізіології ім. О.О. Богомольця НАН України
2014
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| Series: | Нейрофизиология |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/148296 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Wavelet Decomposition-Based Analysis of Mismatch Negativity Elicited by a Multi-Feature Paradigm / M. Najafi-Koopaie, H. Sadjedi, S. Mahmoudian, E.D. Farahani, M. Mohebbi // Нейрофизиология. — 2014. — Т. 46, № 4. — С. 01-410. — Бібліогр.: 30 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | In this study, event-related potentials (ERPs) collected from normally hearing subjects and
elicited by a multi-feature paradigm were investigated, and mismatch negativity (MMN) was
detected. Standard stimuli and five types of deviant stimuli were presented in a specified
sequence, while EEG data were recorded digitally at a 1024 sec–1 sampling rate. Two wavelet
analyses were compared with a traditional difference-wave (DW) method. The Reverse
biorthogonal wavelet with an order of 6.8 and the quadratic B-Spline wavelet were applied
for seven-level decomposition. The sixth-level approximation coefficients were appropriate
for extracting the MMN from the averaged trace. The results obtained showed that wavelet
decomposition (WLD) methods extract MMN as well as a band-pass digital filter (DF). The
differences of the MMN peak latency between deviant types elicited by B-Spline WLD were
more significant than those extracted by the DW, DF, or Reverse biorthogonal WLD. Also,
wavelet coefficients of the delta-theta range indicated good discrimination between some
combinations of the deviant types. |
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