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焦虑的中枢与外周关联:一项对比研究。

Centrol and peripheral correlates of anxiety: a comparative study.

作者信息

Tyrer P J, Lader M H

出版信息

J Nerv Ment Dis. 1976 Feb;162(2):99-104. doi: 10.1097/00005053-197602000-00003.

Abstract

Physiological measurements and mood ratings were recorded in 32 normal subjects at rest and under differing stressful conditions designed to induce anxiety. The physiological measurements were recorded simultaneously using a polygraph and on-line computer analysis; these comprised the peripheral measurements of pulse rate, skin conductance, spontaneous fluctuations in skin conductance, respiratory rate, and finger tremor, and the central measurements of resting electroencephalogram and averaged evoked potentials to an auditory stimulus. Mood rating were recorded using analogue rating scales, the 16 scores obtained being reduced to three mood factors. Correlations were calculated between the mood factors and each of the physiological measurements. The highest correlations were between the anxiety factor and the central measurements, particularly the proportion of electroencephalographic activity between 7.5 and 13.0 Hz, and the latencies of the secondary components of the evoked response. The peripheral measurements correlated rather less well with mood, but skin conductance and fluctuations in skin conductance, pulse rate, and tremor near the peak frequency of 9 Hz all correlated significantly with anxiety. Only two correlations were greater than 0.4, illustrating that no measure was a specific index of anxiety. Refinement of central rather than peripheral measurements is likely to lead to closer correlations with anxiety and other mood states.

摘要

对32名正常受试者在静息状态以及旨在诱发焦虑的不同应激条件下进行了生理测量和情绪评分。使用测谎仪和在线计算机分析同时记录生理测量数据;这些测量包括外周测量的脉搏率、皮肤电导率、皮肤电导率的自发波动、呼吸频率和手指震颤,以及中枢测量的静息脑电图和对听觉刺激的平均诱发电位。使用类比评分量表记录情绪评分,将获得的16个分数归纳为三个情绪因素。计算了情绪因素与各项生理测量之间的相关性。焦虑因素与中枢测量之间的相关性最高,特别是7.5至13.0赫兹之间的脑电图活动比例,以及诱发电反应次级成分的潜伏期。外周测量与情绪的相关性相对较弱,但皮肤电导率和皮肤电导率波动、脉搏率以及9赫兹峰值频率附近的震颤均与焦虑显著相关。只有两个相关性大于0.4,这表明没有一项测量是焦虑的特定指标。改进中枢测量而非外周测量可能会导致与焦虑和其他情绪状态的相关性更强。

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