Multiple time-frequency components account for the complex functional reactivity of P300


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Yordanova J., Devrim M., Kolev V., Ademoglu A., Demiralp T.

NEUROREPORT, cilt.11, sa.5, ss.1097-1103, 2000 (SCI İndekslerine Giren Dergi) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Konu: 5
  • Basım Tarihi: 2000
  • Doi Numarası: 10.1097/00001756-200004070-00038
  • Dergi Adı: NEUROREPORT
  • Sayfa Sayıları: ss.1097-1103

Özet

Consecutive and overlapping time-frequency (TF) components of auditory event-related brain potentials (ERPs) were analyzed to examine whether multiple co-existing components may account for the complex functional reactivity of P300. Auditory ERPs of 14 adult subjects were decomposed by means of the wavelet transform (WT), and TF components within P300 were tested in a systematic manner for the effects of major P300 determinants: stimulus probability, active discrimination, and mental count task. The results demonstrated that several partly or fully simultaneous delta, theta, and alpha TF components significantly depend on the factors eliciting P300, and also manifest distinct patterns of task reactivity and scalp distribution. Thus, specific functional processes that underlie the P300 ERP can be distinguished that help to account for its responsiveness to task variables. NeuroReport 11:1097-1103 (C) 2000 Lippincott Williams & Wilkins.

Consecutive and overlapping time-frequency (TF) components of auditory event-related brain potentials (ERPs) were analyzed to examine whether multiple co-existing components may account for the complex functional reactivity of P300. Auditory
ERPs of 14 adult subjects were decomposed by means of the wavelet transform (WT), and TF components within P300 were tested in a systematic manner for the effects of major P300 determinants: stimulus probability, active discrimination, and mental count task. The results demonstrated that several partly or fully simultaneous delta, theta, and alpha TF components signi®cantly depend on the factors eliciting P300, and also
manifest distinct patterns of task reactivity and scalp distribution. Thus, specific functional processes that underlie the P300 ERP can be distinguished that help to account for its responsiveness to task variables.