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与 24 个月内解决问题能力和抑郁症状结果相关的适应性认知控制回路变化。

Adaptive cognitive control circuit changes associated with problem-solving ability and depression symptom outcomes over 24 months.

机构信息

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA.

Sierra-Pacific Mental Illness Research, Education, and Clinical Center (MIRECC), Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94304, USA.

出版信息

Sci Transl Med. 2024 Sep 4;16(763):eadh3172. doi: 10.1126/scitranslmed.adh3172.

DOI:10.1126/scitranslmed.adh3172
PMID:39231241
Abstract

Mechanistically targeted behavioral interventions are a much-needed strategy for improving outcomes in depression, especially for vulnerable populations with comorbidities such as obesity. Such interventions may change behavior and outcome by changing underlying neural circuit function. However, it is unknown how these circuit-level modifications unfold over intervention and how individual differences in early circuit-level modifications may explain the heterogeneity of treatment effects. We addressed this need within a clinical trial of problem-solving therapy for participants with depression symptoms and comorbid obesity, focusing on the cognitive control circuit as a putative neural mechanism of action. Functional magnetic resonance imaging was applied to measure the cognitive control circuit activity at five time points over 24 months. Compared with participants who received usual care, those receiving problem-solving therapy showed that attenuations in cognitive control circuit activity were associated with enhanced problem-solving ability, which suggests that this circuit plays a key role in the mechanisms of problem-solving therapy. Attenuations in circuit activity were also associated with improved depression symptoms. Changes in cognitive control circuit activity at 2 months better predicted changes in problem-solving ability and depression symptoms at 6, 12, and 24 months, with predictive improvements ranging from 17.8 to 104.0%, exceeding baseline demographic and symptom characteristics. Our findings suggest that targeting the circuit mechanism of action could enhance the prediction of treatment outcomes, warranting future model refinement and improvement to pave the way for its clinical application.

摘要

从机制上靶向行为干预是改善抑郁症治疗效果的一种迫切需要的策略,特别是对肥胖等合并症的脆弱人群。这种干预可能通过改变潜在的神经回路功能来改变行为和结果。然而,目前尚不清楚这些回路水平的改变是如何在干预过程中展开的,以及个体在早期回路水平改变上的差异如何解释治疗效果的异质性。我们在针对有抑郁症状和肥胖合并症的参与者的问题解决治疗的临床试验中解决了这一需求,该研究聚焦于认知控制回路,将其作为一种潜在的作用机制。功能性磁共振成像(fMRI)用于在 24 个月内的 5 个时间点测量认知控制回路的活动。与接受常规护理的参与者相比,接受问题解决治疗的参与者表现出认知控制回路活动的衰减与解决问题能力的增强有关,这表明该回路在问题解决治疗的机制中起着关键作用。回路活动的衰减也与抑郁症状的改善有关。认知控制回路活动在 2 个月时的变化更好地预测了 6、12 和 24 个月时解决问题能力和抑郁症状的变化,预测改善范围从 17.8%到 104.0%,超过了基线人口统计学和症状特征。我们的研究结果表明,靶向作用机制可能会增强对治疗结果的预测,值得进一步改进和完善模型,为其临床应用铺平道路。

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本文引用的文献

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Connectivity of the Cognitive Control Network During Response Inhibition as a Predictive and Response Biomarker in Major Depression: Evidence From a Randomized Clinical Trial.认知控制网络在反应抑制期间的连通性作为重度抑郁症的预测和反应生物标志物:来自随机临床试验的证据。
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