Uskudar University, Department of Psychology, Turkey.
Uskudar University, Department of Psychology, Turkey.
J Affect Disord. 2018 Aug 1;235:114-116. doi: 10.1016/j.jad.2018.04.041. Epub 2018 Apr 6.
Resistance to medication is a significant problem in psychiatric practice, and effective methods for predicting response are needed to optimize treatment efficacy and limit morbidity. Gamma oscillations are considered as an index of the brain's general cognitive activity; however, the role of gamma oscillations in disease has not been studied sufficiently.
This study aimed to determine if gamma power during rest can be used to predict response to anti-depressant medication treatment.
Hamilton Depression Rating Scale (HDRS) score and resting state gamma power was measured in 18 medication-free patients during an episode of major depression. After 6 weeks of paroxetine monotherapy HDRS was administered again.
Baseline gamma power at frontal, central and temporal electrodes before treatment was significantly related to post-treatment change in HDRS scores.
The results indicate that gamma oscillations could be considered a marker of response to paroxetine treatment in patients with major depression.
在精神科实践中，药物抵抗是一个重大问题，需要有效的方法来预测反应，以优化治疗效果并限制发病率。伽马振荡被认为是大脑一般认知活动的指标；然而，伽马振荡在疾病中的作用尚未得到充分研究。
本研究旨在确定休息时的伽马功率是否可用于预测抗抑郁药物治疗的反应。
在重度抑郁症发作期间，对 18 名未服用药物的患者进行汉密尔顿抑郁评定量表（HDRS）评分和静息状态伽马功率测量。在帕罗西汀单药治疗 6 周后再次进行 HDRS 评估。
治疗前额、中央和颞部电极的基线伽马功率与 HDRS 评分的治疗后变化显著相关。
结果表明，伽马振荡可以被认为是预测重度抑郁症患者对帕罗西汀治疗反应的标志物。
