Investigating the effects of opioid drugs on electrocortical activity using wavelet transform

摘要: Fetal electrocortical activity (ECoG) is characterized by two distinct patterns: HVSA (high voltage, slow activity) and LVFA (low fast activity). Using the wavelet transform (WT), we recently reported that frequency characteristics of these ECoG patterns undergo significant maturational changes prior to birth (Akay et al. 1994a). We now report fetal can also be significantly affected pharmacological agents. In this paper, compared effects opioid drugs (morphine [D-Pen2, D-Pen5]-enkephalin, DPDPE) on ECoG, using chronically instrumented lamb model. Morphine was infused intravenously (i.v.) at 2.5 mg/h, while DPDPE into lateral cerebroventricle (i.c.v.) 30μg/h. The analyzed WT. performed multiresolution decomposition for four sets parameters D 2j where ?1 < j ?4. series WTs represent detail signal bandwidths: (1) 16---32 Hz, (2) 8---16 (3) 4---8 (4) 2---4 Hz. data were subjected statistical analysis Kolmogorov-Smirnov (KS) test. Both morphine resulted in a increase power first band, reduced second, third fourth bands. addition, both disruption normal cyclic pattern between patterns. There difference time course action DPDPE. This occasion which continuous has been rigorous analysis. results suggest WT-KS method most suitable quantitating induced