QEEG Predictors of Treatment Response in Major Depressive Disorder- A Replication Study from Northwest India.

IF 1.6 4区 医学 Q3 CLINICAL NEUROLOGY Clinical EEG and Neuroscience Pub Date : 2024-03-01 Epub Date: 2022-11-29 DOI:10.1177/15500594221142396
Akashdeep Singh, Priti Arun, Gurvinder Pal Singh, Damanjeet Kaur, Simranjit Kaur
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Abstract

Background: Predicting treatment response with antidepressant is a challenging task for clinicians and researchers. An important limitation of an antidepressant trial is the increased time spent before an adequacy of trial can be decided. Quantitative Electroencephalography has shown some evidence in identifying early changes seen with antidepressants. No data has been reported from Indian population on its predictive capabilities. Aim: To examine whether early changes in frontal and prefrontal theta value in QEEG could predict antidepressant treatment response. Methods: Structured clinical assessments were conducted at baseline and after one week in a sample of treatment-seeking adults with major depressive disorder (n = 50). Patients were started on SSRI (Escitalopram, fluoxetine, paroxetine or sertraline) and followed for 8 weeks. QEEG recordings were carried out at baseline and week 1 and its parameters (relative theta power and cordance) were assessed to identify its predictive value for treatment response. Treatment response was assessed using Hamilton depression rating scale with 50% reduction after 8 weeks being considered as response. Results: Mean age of the sample was 39 ± 10 years and majority of them were females (64%). A significant reduction was found in relative frontal theta value (p = 0.021) from baseline to one week in responders. However, linear regression revealed that this change could not predict the treatment response (p = 0.37). Conclusions: QEEG changes are observed in initial phase of antidepressant treatment but these changes can't predict the treatment response.

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重度抑郁障碍治疗反应的 QEEG 预测因素--印度西北部的一项重复研究。
背景:对于临床医生和研究人员来说,预测抗抑郁药物的治疗反应是一项具有挑战性的任务。抗抑郁药试验的一个重要限制因素是,在确定试验是否充分之前需要花费更多的时间。定量脑电图已在识别抗抑郁药物的早期变化方面显示出一些证据。关于其预测能力,尚未有来自印度人群的数据报告。目的:研究定量脑电图中额叶和前额叶θ值的早期变化能否预测抗抑郁治疗反应。方法:在治疗前进行结构化临床评估:对寻求治疗的重度抑郁症成人样本(n = 50)进行基线和一周后的结构化临床评估。患者开始服用 SSRI(艾司西酞普兰、氟西汀、帕罗西汀或舍曲林),并随访 8 周。在基线和第一周进行 QEEG 记录,并评估其参数(相对 Theta 功率和 cordance),以确定其对治疗反应的预测价值。治疗反应采用汉密尔顿抑郁评分量表进行评估,8周后抑郁程度降低50%即为治疗反应。研究结果样本的平均年龄为 39 ± 10 岁,大部分为女性(64%)。研究发现,从基线到一周后,应答者的相对额叶θ值明显下降(p = 0.021)。然而,线性回归显示,这一变化并不能预测治疗反应(p = 0.37)。结论抗抑郁治疗初期可观察到 QEEG 变化,但这些变化无法预测治疗反应。
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来源期刊
Clinical EEG and Neuroscience
Clinical EEG and Neuroscience 医学-临床神经学
CiteScore
5.20
自引率
5.00%
发文量
66
审稿时长
>12 weeks
期刊介绍: Clinical EEG and Neuroscience conveys clinically relevant research and development in electroencephalography and neuroscience. Original articles on any aspect of clinical neurophysiology or related work in allied fields are invited for publication.
期刊最新文献
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