Suppr超能文献

情感偏差可预测深部脑刺激治疗期间抑郁症的变化。

Affective bias predicts changes in depression during deep brain stimulation therapy.

作者信息

Cui Brian, Mocchi Madaline M, Metzger Brian A, Kalva Prathik, Magnotti John F, Fiedorowicz Jess G, Waters Allison, Kovach Christopher K, Reed Yvonne Y, Mathura Raissa K, Steger Camille, Pascuzzi Bailey, Kanja Kourtney, Veerakumar Ashan, Tiruvadi Vineet, Crowell Andrea, Denison Lydia, Rozell Christopher J, Pouratian Nader, Goodman Wayne, Riva Posse Patricio, Mayberg Helen S, Bijanki Kelly Rowe

机构信息

Department of Neurosurgery, Baylor College of Medicine, Houston, TX, United States.

Department of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States.

出版信息

Front Hum Neurosci. 2025 Mar 25;19:1539857. doi: 10.3389/fnhum.2025.1539857. eCollection 2025.

Abstract

INTRODUCTION

Deep brain stimulation (DBS) is a promising treatment for refractory depression, utilizing surgically implanted electrodes to stimulate specific anatomical targets within the brain. However, limitations of patient-reported and clinician-administered mood assessments pose obstacles in evaluating DBS treatment efficacy. In this study, we investigated whether an affective bias task, which leverages the inherent negative interpretation bias seen in individuals with depression, could serve as a reliable measure of mood changes during DBS therapy in patients with treatment-resistant depression.

METHODS

Two cohorts of patients ( = 8, = 2) undergoing DBS for treatment-resistant depression at different academic medical centers completed an affective bias task at multiple time points before and after DBS implantation. The affective bias task involved rating the emotional content of a series of static photographic stimuli of facial expressions throughout their DBS treatment. Patients' ratings were compared with those of non-depressed controls to calculate affective bias scores. Linear mixed-effects modeling was used to assess changes in bias scores over time and their relationship with depression severity measured by the Hamilton Depression Rating Scale (HDRS-17).

RESULTS

We observed significant improvements in total affective bias scores over the course of DBS treatment in both cohorts. Pre-DBS, patients exhibited a negative affective bias, which was nearly eliminated post-DBS, with total bias scores approaching those of non-depressed controls. Positive valence trials showed significant improvement post-DBS, while negative valence trials showed no notable change. A control analysis indicated that stimulation status did not significantly affect bias scores, and thus stimulation status was excluded from further modeling. Linear mixed-effects modeling revealed that more negative bias scores were associated with higher HDRS-17 scores, particularly for positive valence stimuli. Additionally, greater time elapsed since DBS implantation was associated with a decrease in HDRS-17 scores, indicating clinical improvement over time.

DISCUSSION

Our findings demonstrate that the affective bias task leverages the inherent negative interpretation bias seen in individuals with depression, providing a standardized measure of how these biases change over time. Unlike traditional mood assessments, which rely on subjective introspection, the affective bias task consistently measures changes in mood, offering potential as a tool to monitor mood changes and evaluate the candidacy of DBS treatment in refractory depression.

摘要

引言

深部脑刺激(DBS)是一种治疗难治性抑郁症的有前景的方法,它利用手术植入电极来刺激脑内特定的解剖靶点。然而,患者报告的和临床医生进行的情绪评估的局限性在评估DBS治疗效果时构成了障碍。在本研究中,我们调查了一种情感偏差任务,该任务利用抑郁症患者中固有的消极解释偏差,是否可以作为难治性抑郁症患者DBS治疗期间情绪变化的可靠指标。

方法

两个队列的患者(n = 8,n = 2)在不同的学术医疗中心接受DBS治疗难治性抑郁症,在DBS植入前后的多个时间点完成了一项情感偏差任务。情感偏差任务包括在整个DBS治疗过程中对面部表情的一系列静态摄影刺激的情感内容进行评分。将患者的评分与非抑郁症对照组的评分进行比较,以计算情感偏差分数。使用线性混合效应模型来评估偏差分数随时间的变化及其与汉密尔顿抑郁量表(HDRS-17)测量的抑郁严重程度的关系。

结果

我们在两个队列的DBS治疗过程中均观察到总情感偏差分数有显著改善。在DBS之前,患者表现出消极的情感偏差,在DBS之后几乎消除,总偏差分数接近非抑郁症对照组。正性效价试验在DBS后显示出显著改善,而负性效价试验没有显著变化。一项对照分析表明,刺激状态对偏差分数没有显著影响,因此在进一步建模中排除了刺激状态。线性混合效应模型显示,更多的负偏差分数与更高的HDRS-17分数相关,特别是对于正性效价刺激。此外,自DBS植入后经过的时间越长,HDRS-17分数越低,表明随着时间的推移临床症状有所改善。

讨论

我们的研究结果表明,情感偏差任务利用了抑郁症患者中固有的消极解释偏差,提供了一种标准化的方法来衡量这些偏差如何随时间变化。与依赖主观内省的传统情绪评估不同,情感偏差任务一致地测量情绪变化,作为监测情绪变化和评估难治性抑郁症DBS治疗候选资格的工具具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e42/11977254/304b8cd2956b/fnhum-19-1539857-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验