CORTICAL POWER SPECTRAL-ANALYSIS OF ACUTE PATHOPHYSIOLOGICAL PAIN
CORTICAL POWER SPECTRAL-ANALYSIS OF ACUTE PATHOPHYSIOLOGICAL PAIN
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DOI：
10.3109/00207458308987371
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发表时间：
1983-01-01
影响因子：
2.2
通讯作者：
DRANGSHOLT, MT
中科院分区：
文献类型：
--
作者：
CHEN, ACN;DWORKIN, SF;DRANGSHOLT, MT
在过去的十年中，定量EEG方法的进步，如皮层功率谱的分析，已被证明是一个有用的工具，用于观察大脑活动的变化作为生理和行为状态的函数。皮质功率谱（CPS）是利用快速傅立叶变换函数的数学原理对脑电活动进行的计算机衍生分析。特定皮层区域的总能量输出可以随时间估计，作为EEG频谱频率的函数。本报告描述了CPS在病理生理性疼痛患者中的研究，使用急性牙痛作为模型。七个走在急性疼痛患者在急诊牙科诊所记录在10分钟的疼痛，治疗前。约1 wk后，在非疼痛状态下记录10 min作为对照。在每次访视记录之前和之后，对所有受试者进行主观疼痛量表和其他心理测量。连续CPS记录的每个10分钟阶段由每个阶段10个光谱组成，6个时期/光谱，10.24 s/时期;每个光谱由Pain微机系统存储、平均、转换、显示、打印和绘图。当疼痛状态与非疼痛状态相比时，显示了沿所有频带（0.5-50 Hz）的显著皮层功率降低沿着。减少的幅度似乎也与主观疼痛报告一致。等级顺序的分析可以与主观疼痛负相关，表明疼痛和α-与非物质化密切相关。可以测量临床疼痛患者的大脑活动。探讨了研制病理生理客观疼痛测量系统的可行性。
In the past decade, advances in quantitative EEG methods, such as the analysis of cortical power spectrum, have proven a useful tool for observing changes in brain activity as a function of physiological and behavioral states. The cortical power spectrum (CPS) is a computer-derived analysis of brain electrical activity using mathematical principles of Fast Fourier Transform function. The total energy output of specific cortical areas can be estimated over time, as a function of EEG spectral frequencies. This report describes the study of CPS in pathophysiological pain patients, using acute dental pain as a model. Seven walk-in acute pain patients in an emergency dental clinic were recorded during 10 min of pain, before treatment. Approximately 1 wk later, 10 min recording during nonpain states were obtained as control. Subjective pain scales and other psychological measures were administered to all subjects before and after recording on each visit. Each 10 min stage of continuous CPS recording consisted of 10 spectra per stage, 6 epochs/spectrum, and 10.24 s/epoch; each spectrum was stored, averaged, transformed, displayed, printed and plotted by the Pain Microcomputer System. Significant cortical power reduction along all frequency bands (0.5-50 Hz) are shown when pain-states are compared to nonpain states. The magnitude of reduction also appears to correspond to subjective pain report. Analysis for rank order may be inversely related to subjective painfulness, indicating that pain and .alpha.-desynchronization are closely associated. The brain activity of clinical pain patients can be measured. The feasibility of developing a pathophysiological objective pain measuring system is discussed.