The interplay of lorazepam-induced brain oscillations:: microstructural electromagnetic study

被引:36
作者
Fingelkurts, AA
Fingelkurts, AA
Kivisaari, R
Pekkonen, E
Ilmoniemi, RJ
Kähkönen, S
机构
[1] BM Sci Brain & Mind Technol Res Ctr, FI-02601 Espoo, Finland
[2] Univ Helsinki, Cent Hosp, BioMag Lab, Ctr Engn, FIN-00029 Helsinki, Finland
[3] Univ Helsinki, Dept Radiol, Helsinki, Finland
[4] Univ Helsinki, Dept Neurol, Helsinki, Finland
[5] Univ Helsinki, Cognit Brain Res Unit, Dept Psychol, Helsinki, Finland
[6] Helsinki Brain Res Ctr, Helsinki, Finland
基金
芬兰科学院;
关键词
adaptive classification; electroencephalography; lorazepam; magnetoencephalography; microstructure; short-term spectral patterns;
D O I
10.1016/j.clinph.2003.10.025
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Objective: The effects on cortical rhythms of a single-dose (30 mug/kg) administration of the GABA(A) agonist lorazepam were examined in a randomized, double-blind, cross-over, placebo-controlled study with 8 healthy volunteers using simultaneous electroencephalography (EEG) and magnetoencephalography (MEG). Methods: The oscillations were assessed by means of adaptive classification of short-term spectral patterns. Results: Lorazepam (a) decreased the percentage of EEG/MEG segments with fast-theta, delta-alpha, fast-theta-alpha and alpha activity and increased percentage of EEG/MEG segments with delta, delta-slow-theta, delta-beta, slow-theta and polyrhythmic activity; (b) decreased diversity of EEG/MEG signals (in terms of spectral patterns) and increased the general instability of the signal; (c) increased stabilization periods of the spectral patterns (reduced brain information processing); (d) maintained larger maximum periods of temporal stabilization for delta, slow-theta, delta-slow-theta, delta-beta and polyrhythmic activity (in terms of spectral patterns); (e) did not increase power in the independent beta rhythm. Conclusions: Lorazepam caused significant reorganization of the EEG/MEG microstructure. These results suggest also that adaptive classification analysis of single short-term spectral patterns may provide additional information to conventional spectral analyses. (C) 2003 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:674 / 690
页数:17
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