Time-frequency component analyser and its application to brain oscillatory activity

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Ozdemir A., Karakas S., Cakmak E., Tufekci D., Anikan O.

JOURNAL OF NEUROSCIENCE METHODS, cilt.145, ss.107-125, 2005 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 145
  • Basım Tarihi: 2005
  • Doi Numarası: 10.1016/j.jneumeth.2004.12.003
  • Dergi Adı: JOURNAL OF NEUROSCIENCE METHODS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.107-125
  • Hacettepe Üniversitesi Adresli: Hayır

Özet

Currently, event-related potential (ERP) signals are analysed in the time domain (ERP technique) or in the frequency domain (Fourier analysis and variants). In techniques of time-domain and frequency-domain analysis (short-time Fourier transform, wavelet transform) assumptions concerning linearity, stationarity, and templates are made about the brain signals. In the time-frequency component analyser (TFCA), the assumption is that the signal has one or more components with non-overlapping supports in the time-frequency plane. In this study, the TFCA technique was applied to ERPs. TFCA determined and extracted the oscillatory components from the signal and, simultaneously, localized them in the time-frequency plane with high resolution and negligible cross-term contamination. The results obtained by means of TFCA were compared with those obtained by means of other commonly used techniques of ERP analysis, such as bilinear time-frequency distributions and wavelet analysis. It is suggested that TFCA may serve as an appropriate tool for capturing the localized ERP components in the time-frequency domain and for studying the intricate, frequency-based dynamics of the human brain. (c) 2004 Elsevier B.V. All rights reserved.