Laureate Institute for Brain Research, Tulsa, OK, United States.
Laureate Institute for Brain Research, Tulsa, OK, United States.
J Affect Disord. 2021 Dec 1;295:873-882. doi: 10.1016/j.jad.2021.08.106. Epub 2021 Sep 4.
Treatment effectiveness for major depressive disorder (MDD) is often affected by client non-adherence, dropout, and non-response. Identification of client characteristics predicting successful treatment completion and/or response (i.e., symptom reduction) may be an important tool to increase intervention effectiveness. It is unclear whether neural attenuations in reward processing associated with MDD predict behavioral treatment outcome.
This study aimed to determine whether blunted neural responses to reward at baseline differentiate MDD (n = 60; 41 with comorbid anxiety) and healthy control (HC; n = 40) groups; and predict MDD completion of and response to 7-10 sessions of behavior therapy. Participants completed a monetary incentive delay (MID) task. The N200, P300, contingent negative variation (CNV) event related potentials (ERPs) and behavioral responses (reaction time [RT], correct hits) were quantified and extracted for cross-sectional group analyses. ERPs and behavioral responses demonstrating group differences were then used to predict therapy completion and response within MDD.
MDD exhibited faster RT and smaller P300 amplitudes than HC across conditions. Within the MDD group, treatment completers (n = 37) exhibited larger P300 amplitudes than non-completers (n = 21).
This study comprises secondary analyses of EEG data; thus task parameters are not optimized to examine feedback ERPs from the paradigm. We did not examine heterogenous presentations of MDD; however, severity and comorbidity did not influence findings.
Previous studies suggest that P300 is an index of motivational salience and stimulus resource allocation. In sum, individuals who deploy greater neural resources to task demands are more likely to persevere in behavioral therapy.
重度抑郁症(MDD)的治疗效果往往受到患者不依从、脱落和无反应的影响。识别预测治疗成功完成和/或反应(即症状减轻)的患者特征可能是提高干预效果的重要工具。目前尚不清楚与 MDD 相关的奖励处理中的神经衰减是否可以预测行为治疗结果。
本研究旨在确定基线时奖励反应的神经迟钝是否可以区分 MDD(n=60;41 例伴发焦虑)和健康对照组(HC;n=40);并预测 MDD 完成 7-10 次行为治疗的情况和反应。参与者完成了一项货币奖励延迟(MID)任务。定量并提取了 N200、P300、条件性负变(CNV)事件相关电位(ERP)和行为反应(反应时间[RT]、正确击中),以进行横截面组分析。然后,使用表现出组间差异的 ERP 和行为反应来预测 MDD 内的治疗完成和反应。
MDD 在所有条件下的 RT 均较快,P300 振幅均较小,HC 则相反。在 MDD 组中,治疗完成者(n=37)的 P300 振幅大于未完成者(n=21)。
本研究包含 EEG 数据的二次分析;因此,任务参数并未针对该范式的反馈 ERP 进行优化。我们没有检查 MDD 的异质表现;但是,严重程度和合并症并没有影响发现。
先前的研究表明 P300 是动机显着性和刺激资源分配的指标。总之,那些将更多神经资源用于任务需求的人更有可能坚持行为治疗。