title: Analysis of the electroencephalographic activity during the Necker cube reversals by means of the wavelet transform.
abstract: In previous studies, a perceptual switching related potential was obtained during the observation of a multistable dynamic reversal pattern, where the averaging of the single responses was triggered by subjects pressing a button. The present methodological study aims to increase the signal quality of perceptual switching related potentials considering the dependence of the measurement method on the reaction time of the subject, which may vary significantly during a session, leading to low-amplitude waveform in the averaged event-related-potential (ERP). To overcome this problem in measuring the electrophysiological correlate of an internal event, a pattern selection method based on the wavelet transform (WT) is proposed to choose a subset of single ERPs with more homogenous latencies. Nine subjects observed a Necker cube and were instructed to press the button immediately after perceptual switching. A slow, low-amplitude positive wave with frontocentral amplitude maxima was observed around 250 ms prior to the button press. After the application of a 5 octave WT on single sweeps, the time-frequency coefficients obtained in each octave were averaged across trials. The most dominant feature representing the averaged ERP was the delta (0.5-4 Hz) coefficient occurring between 250 and 125 ms before the button press. By averaging the subset of the single sweeps containing this property, a sharpening and significant amplitude increase of the response peak was observed.
authors.affiliation: Electro-Neuro-Physiology Research and Application Center, University of Istanbul, Turkey.
authors.forename: U
authors.initials: U
authors.lastname: Işoğlu-Alkaç
authors.forename: C
authors.initials: C
authors.lastname: Başar-Eroğlu
authors.forename: A
authors.initials: A
authors.lastname: Ademoğlu
authors.forename: T
authors.initials: T
authors.lastname: Demiralp
authors.forename: M
authors.initials: M
authors.lastname: Miener
authors.forename: M
authors.initials: M
authors.lastname: Stadler
mesh_terms: D000818:Animals; D004569:Electroencephalography; D006801:Humans; D008954:Models, Biological; D008962:Models, Theoretical; D009415:Nerve Net / Q000502:physiology*