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将神经回路生物型映射到抑郁和焦虑的症状及行为维度

Mapping Neural Circuit Biotypes to Symptoms and Behavioral Dimensions of Depression and Anxiety.

作者信息

Goldstein-Piekarski Andrea N, Ball Tali M, Samara Zoe, Staveland Brooke R, Keller Arielle S, Fleming Scott L, Grisanzio Katherine A, Holt-Gosselin Bailey, Stetz Patrick, Ma Jun, Williams Leanne M

机构信息

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California; Sierra-Pacific Mental Illness Research, Education, and Clinical Center, Veterans Affairs Palo Alto Health Care System, Palo Alto, California.

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California.

出版信息

Biol Psychiatry. 2022 Mar 15;91(6):561-571. doi: 10.1016/j.biopsych.2021.06.024. Epub 2021 Jul 11.

Abstract

BACKGROUND

Despite tremendous advances in characterizing human neural circuits that govern emotional and cognitive functions impaired in depression and anxiety, we lack a circuit-based taxonomy for depression and anxiety that captures transdiagnostic heterogeneity and informs clinical decision making.

METHODS

We developed and tested a novel system for quantifying 6 brain circuits reproducibly and at the individual patient level. We implemented standardized circuit definitions relative to a healthy reference sample and algorithms to generate circuit clinical scores for the overall circuit and its constituent regions.

RESULTS

In new data from primary and generalizability samples of depression and anxiety (N = 250), we demonstrated that overall disconnections within task-free salience and default mode circuits map onto symptoms of anxious avoidance, loss of pleasure, threat dysregulation, and negative emotional biases-core characteristics that transcend diagnoses-and poorer daily function. Regional dysfunctions within task-evoked cognitive control and affective circuits may implicate symptoms of cognitive and valence-congruent emotional functions. Circuit dysfunction scores also distinguished response to antidepressant and behavioral intervention treatments in an independent sample (n = 205).

CONCLUSIONS

Our findings articulate circuit dimensions that relate to transdiagnostic symptoms across mood and anxiety disorders. Our novel system offers a foundation for deploying standardized circuit assessments across research groups, trials, and clinics to advance more precise classifications and treatment targets for psychiatry.

摘要

背景

尽管在表征控制抑郁症和焦虑症中受损的情绪和认知功能的人类神经回路方面取得了巨大进展,但我们仍缺乏一种基于回路的抑郁症和焦虑症分类法,该分类法能够捕捉跨诊断异质性并为临床决策提供信息。

方法

我们开发并测试了一种新颖的系统,用于在个体患者层面可重复地量化6条脑回路。我们相对于健康参考样本实施了标准化的回路定义以及算法,以生成整个回路及其组成区域的回路临床评分。

结果

在抑郁症和焦虑症的主要样本及可推广性样本的新数据中(N = 250),我们证明了无任务突显和默认模式回路内的整体连接中断与焦虑回避、愉悦感丧失、威胁调节障碍和负性情绪偏差等症状相关,这些是超越诊断的核心特征,且与较差的日常功能相关。任务诱发的认知控制和情感回路内的区域功能障碍可能与认知和效价一致的情绪功能症状有关。回路功能障碍评分在一个独立样本(n = 205)中也区分了对抗抑郁药和行为干预治疗的反应。

结论

我们的研究结果阐明了与情绪和焦虑症中的跨诊断症状相关的回路维度。我们的新系统为在研究小组、试验和诊所中开展标准化回路评估提供了基础,以推进精神病学更精确的分类和治疗靶点。

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