Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression.

Resting state functional connectivity subtypes predict discrete patterns of cognitive-affective functioning across levels of analysis among patients with treatment-resistant depression.
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DOI:
10.1016/j.brat.2021.103960
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发表时间:
2021-11
影响因子:
4.1
通讯作者:
Price RB
Price RB
中科院分区:
心理学2区
文献类型:
--
作者:
Woody ML;Panny B;Degutis M;Griffo A;Price RB

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腹侧情感(VAN)、默认模式(DMN)和认知控制(CCN)网络中的静息态功能连接(RSFC)可能部分是抑郁症异质性的基础。目前的研究使用 RSFC 的数据驱动解析来识别难治性抑郁症患者的亚组(TRD;n=70),并确定亚组是否推广到与抑郁症相关的认知情感功能的跨诊断测量(在自我报告、行为和分子水平的分析中索引)。使用子组-组迭代多模型估计来表征关键网络内的 RSFC 路径。出现了三个基于连通性的子组:子组 A,最大的子集,包含最少的路径; B组,包含独特的双向VAN/DMN负反馈; C 亚组,包含最多的路径。与其他亚组相比,B 亚组的特点是自我报告的积极情绪较低,而 C 亚组的特点是自我报告的积极情绪较高,诱发的积极情绪的变异性较大,反应抑制较差,纹状体组织铁浓度降低。基于 RSFC 的分类揭示了与跨诊断认知情感功能离散畸变相关的三种 TRD 亚型,这些亚型在分析层面上基本上是统一的,并且在考虑了抑郁症状的疾病特异性测量所捕获的变异性后得到了维持。研究结果促进了对 TRD 跨诊断大脑行为异质性的理解,并可能为该人群提供新的治疗目标。
Resting state functional connectivity (RSFC) in ventral affective (VAN), default mode (DMN) and cognitive control (CCN) networks may partially underlie heterogeneity in depression. The current study used data-driven parsing of RSFC to identify subgroups of patients with treatment-resistant depression (TRD; n=70) and determine if subgroups generalized to transdiagnostic measures of cognitive-affective functioning relevant to depression (indexed across self-report, behavioral, and molecular levels of analysis). RSFC paths within key networks were characterized using Subgroup-Group Iterative Multiple Model Estimation. Three connectivity-based subgroups emerged: Subgroup A, the largest subset and containing the fewest pathways; Subgroup B, containing unique bidirectional VAN/DMN negative feedback; and Subgroup C, containing the most pathways. Compared to other subgroups, subgroup B was characterized by lower self-reported positive affect and subgroup C by higher self-reported positive affect, greater variability in induced positive affect, worse response inhibition, and reduced striatal tissue iron concentration. RSFC-based categorization revealed three TRD subtypes associated with discrete aberrations in transdiagnostic cognitive-affective functioning that were largely unified across levels of analysis and were maintained after accounting for the variability captured by a disorder-specific measure of depressive symptoms. Findings advance understanding of transdiagnostic brain-behavior heterogeneity in TRD and may inform novel treatment targets for this population.
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