首页> 外文学位 >Electrophysiological Indices in Major Depressive Disorder and their Utility in Predicting Response Outcome to Single and Dual Antidepressant Pharmacotherapies.
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Electrophysiological Indices in Major Depressive Disorder and their Utility in Predicting Response Outcome to Single and Dual Antidepressant Pharmacotherapies.

机译:严重抑郁症的电生理指标及其在预测对单药和双药抗抑郁药物治疗的反应结果中的效用。

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摘要

Certain electrophysiological markers hold promise in distinguishing individuals with major depressive disorder (MDD) and in predicting antidepressant response, thereby assisting with assessment and optimizing treatment, respectively. This thesis examined resting brain activity via electroencephalographic (EEG) recordings, as well as EEG-derived event-related potentials (ERPs) to auditory stimuli and facial expression presentations in individuals with MDD and controls. Additionally, the utility of resting EEG as well as auditory ERPs (AEPs), and the associated loudness-dependence of AEPs (LDAEP) slope, were assessed in predicating outcome to chronic treatment with one of three antidepressant regimens [escitalopram (ESC); bupropion (BUP); ESC+BUP].;Relative to controls, depressed adults had lower pretreatment cortical activity in regions implicated in approach motives/positive processing. Increased anterior cingulate cortex (ACC)-localized theta was observed, possibly reflecting emotion/cognitive regulation disturbances in the disorder. AEPs and LDAEPs, putative indices of serotonin activity (implicated in MDD etiology), were largely unaltered in MDD. Assessment of ERPs to facial expression processing indicated slightly blunted late preconscious perceptual processing of expressions, and prolonged processing of intensely sad faces in MDD. Faces were rated as sadder overall in MDD, indicating a negative processing bias.;Treatment responders (vs. non-responders) exhibited baseline cortical hypoactivity; after a week of treatment, cortical arousal emerged in responders. Increased baseline left fronto-cortical activity and early shifts towards this profile were noted in responders (vs. non-responders). Responders exhibited a steep, and non-responders shallow, baseline N1 LDAEP derived from primary auditory cortex activity. P2 LDAEP slopes (primary auditory cortex-derived) increased after a week of treatment in responders and decreased in non-responders. Consistent with overall findings, ESC responders displayed baseline cortical hypoactivity and steep LDAEP-sLORETA slopes (vs. non-responders). BUP responders also exhibited steep baseline slopes and high ACC theta.;These results indicate that specific resting brain activity profiles appear to distinguish depressed from non-depressed individuals. Subtle ERP modulations to simple auditory and emotive processing also existed in MDD. Resting alpha power, ACC theta activity and LDAEP slopes predicted antidepressant response in general, but were limited in predicting outcome to a particular treatment, which may be associated with limited sample sizes.
机译:某些电生理标志物有望在区分患有重性抑郁症(MDD)的个体和预测抗抑郁反应中发挥作用,从而分别帮助评估和优化治疗。本论文通过脑电图(EEG)记录检查了静息的大脑活动,以及具有MDD和对照的个体对听觉刺激和面部表情表现的脑电衍生事件相关电位(ERP)。此外,评估了静息EEG以及听觉ERPs(AEPs)的效用以及相关的AEPs响度依赖性(LDAEP)斜率,以预测采用三种抗抑郁方案之一[依西酞普兰(ESC)]的慢性治疗结果。安非他酮(BUP); [ESC + BUP] 。;与对照组相比,抑郁的成年人在与进路动机/积极处理有关的区域中,皮质前活动较低。观察到前扣带回皮层(ACC)局部theta增大,这可能反映了该疾病中的情绪/认知调节障碍。血清素活性的假定指标AEP和LDAEP(与MDD病因有关)在MDD中基本保持不变。对面部表情处理的ERP评估表明,后期的前知觉表情处理略有减弱,而MDD中长时间难过的面孔的处理时间延长。面部在MDD中总体上被评定为较悲伤,表明加工偏向为负。治疗反应者(相对于非反应者)表现出基线皮质功能减退;经过一周的治疗,反应者出现了皮层唤醒。在应答者中(相对于非应答者),基线左额叶皮层活动增加并且朝着该轮廓的早期转变。响应者表现出从主要听觉皮层活动中获得的陡峭而无响应者的浅基线N1 LDAEP。治疗一周后,P2 LDAEP斜率(原发于听觉皮层)在应答者中升高,而在非应答者中降低。与总体发现一致,ESC应答者表现出基线皮层活动减退和陡峭的LDAEP-sLORETA斜率(相对于无应答者)。 BUP反应者还表现出陡峭的基线斜率和较高的ACCθ。这些结果表明,特定的静息大脑活动特征似乎可以区分抑郁者和非抑郁者。 MDD中还存在对简单听觉和情感处理的细微ERP调制。静息的α屈光度,ACCθ活性和LDAEP斜率通常可预测抗抑郁反应,但在预测特定治疗的结局方面受到限制,这可能与有限的样本量有关。

著录项

  • 作者

    Jaworska, Natalia.;

  • 作者单位

    University of Ottawa (Canada).;

  • 授予单位 University of Ottawa (Canada).;
  • 学科 Psychobiology.;Clinical psychology.;Mental health.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 224 p.
  • 总页数 224
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:02

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