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劳拉西泮诱发脑振荡的相互作用:微观结构电磁学研究。

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

作者信息

Fingelkurts Alexander A, Fingelkurts Andrew A, Kivisaari Reetta, Pekkonen Eero, Ilmoniemi Risto J, Kähkönen Seppo

机构信息

BM-Science Brain & Mind Technologies Research Centre, Espoo, Finland.

出版信息

Clin Neurophysiol. 2004 Mar;115(3):674-90. doi: 10.1016/j.clinph.2003.10.025.

Abstract

OBJECTIVE

The effects on cortical rhythms of a single-dose (30 microg/kg) administration of the GABAA 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.

摘要

目的

在一项随机、双盲、交叉、安慰剂对照研究中,对8名健康志愿者同时使用脑电图(EEG)和脑磁图(MEG),检测单剂量(30微克/千克)给予GABAA激动剂劳拉西泮对皮质节律的影响。

方法

通过对短期频谱模式的自适应分类来评估振荡。

结果

劳拉西泮(a)降低了具有快速θ波、δ-α波、快速θ-α波和α波活动的EEG/MEG节段的百分比,增加了具有δ波、δ-慢θ波、δ-β波、慢θ波和多节律活动的EEG/MEG节段的百分比;(b)降低了EEG/MEG信号的多样性(就频谱模式而言),并增加了信号的总体不稳定性;(c)增加了频谱模式的稳定期(减少大脑信息处理);(d)对于δ波、慢θ波、δ-慢θ波、δ-β波和多节律活动(就频谱模式而言),保持了更长的最大时间稳定期;(e)未增加独立β节律的功率。

结论

劳拉西泮引起EEG/MEG微观结构的显著重组。这些结果还表明,对单个短期频谱模式的自适应分类分析可能为传统频谱分析提供额外信息。

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