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Executive Function Deficits in Daily Life Prospectively Predict Increases in Depressive Symptoms.日常生活中的执行功能缺陷可前瞻性预测抑郁症状的增加。
Cognit Ther Res. 2014 Dec;38(6):612-620. doi: 10.1007/s10608-014-9629-5. Epub 2014 Aug 6.
2
A neural model of vulnerability and resilience to stress-related disorders linked to differential susceptibility.一种与差异易感性相关的应激相关障碍的脆弱性和复原力神经模型。
Mol Psychiatry. 2022 Jan;27(1):514-524. doi: 10.1038/s41380-021-01047-8. Epub 2021 Mar 1.
3
Mapping social reward and punishment processing in the human brain: A voxel-based meta-analysis of neuroimaging findings using the social incentive delay task.基于社会激励延迟任务的脑影像研究:人类大脑中社会奖赏和惩罚加工的体素水平元分析
Neurosci Biobehav Rev. 2021 Mar;122:1-17. doi: 10.1016/j.neubiorev.2020.12.034. Epub 2021 Jan 6.
4
Reward Functioning Abnormalities in Adolescents at High Familial Risk for Depressive Disorders.青少年抑郁障碍家族高危人群的奖励功能异常。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Mar;6(3):270-279. doi: 10.1016/j.bpsc.2020.08.016. Epub 2020 Sep 6.
5
Education and Cognitive Functioning Across the Life Span.教育与全生命周期认知功能
Psychol Sci Public Interest. 2020 Aug;21(1):6-41. doi: 10.1177/1529100620920576.
6
Adolescent Psychopathology: The Role of Brain-based Diatheses, Sensitivities, and Susceptibilities.青少年精神病理学:基于大脑的素质、敏感性和易感性的作用。
Child Dev Perspect. 2020 Jun;14(2):104-109. doi: 10.1111/cdep.12365. Epub 2020 Apr 27.
7
Central neurogenetic signatures of the visuomotor integration system.视动整合系统的中枢遗传性特征。
Proc Natl Acad Sci U S A. 2020 Mar 24;117(12):6836-6843. doi: 10.1073/pnas.1912429117. Epub 2020 Mar 6.
8
Meta-analysis of cortical thickness abnormalities in medication-free patients with major depressive disorder.抗抑郁药治疗的重性抑郁障碍患者皮质厚度异常的荟萃分析。
Neuropsychopharmacology. 2020 Mar;45(4):703-712. doi: 10.1038/s41386-019-0563-9. Epub 2019 Nov 6.
9
Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies.神经影像学预测儿童和青少年抑郁症的发病和病程:纵向研究的系统综述。
Dev Cogn Neurosci. 2019 Oct;39:100700. doi: 10.1016/j.dcn.2019.100700. Epub 2019 Aug 8.
10
Parenting × Brain Development interactions as predictors of adolescent depressive symptoms and well-being: Differential susceptibility or diathesis-stress?父母教养×大脑发育的相互作用对青少年抑郁症状和幸福感的预测:差异易感性还是素质-应激?
Dev Psychopathol. 2020 Feb;32(1):139-150. doi: 10.1017/S0954579418001475.

教育程度和大脑形态在重度抑郁症中的作用:来自 ENIGMA 重度抑郁症联合会的研究结果。

The role of educational attainment and brain morphology in major depressive disorder: Findings from the ENIGMA major depressive disorder consortium.

机构信息

Melbourne Neuropsychiatry Centre.

Orygen, The National Centre of Excellence in Youth Mental Health.

出版信息

J Psychopathol Clin Sci. 2022 Aug;131(6):664-673. doi: 10.1037/abn0000738. Epub 2022 Jun 2.

DOI:10.1037/abn0000738
PMID:35653754
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11826403/
Abstract

Brain structural abnormalities and low educational attainment are consistently associated with major depressive disorder (MDD), yet there has been little research investigating the complex interaction of these factors. Brain structural alterations may represent a vulnerability or differential susceptibility marker, and in the context of low educational attainment, predict MDD. We tested this moderation model in a large multisite sample of 1958 adults with MDD and 2921 controls (aged 18 to 86) from the ENIGMA MDD working group. Using generalized linear mixed models and within-sample split-half replication, we tested whether brain structure interacted with educational attainment to predict MDD status. Analyses revealed that cortical thickness in a number of occipital, parietal, and frontal regions significantly interacted with education to predict MDD. For the majority of regions, models suggested a differential susceptibility effect, whereby thicker cortex was more likely to predict MDD in individuals with low educational attainment, but less likely to predict MDD in individuals with high educational attainment. Findings suggest that greater thickness of brain regions subserving visuomotor and social-cognitive functions confers susceptibility to MDD, dependent on level of educational attainment. Longitudinal work, however, is ultimately needed to establish whether cortical thickness represents a preexisting susceptibility marker. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

摘要

大脑结构异常和受教育程度低与重度抑郁症(MDD)密切相关,但很少有研究调查这些因素的复杂相互作用。大脑结构的改变可能代表一种脆弱性或差异易感性的标志物,并且在受教育程度低的情况下,可预测 MDD。我们在来自 ENIGMA MDD 工作组的 1958 名患有 MDD 的成年人和 2921 名对照者(年龄在 18 至 86 岁之间)的大型多地点样本中测试了这种调节模型。我们使用广义线性混合模型和样本内半分割复制,测试了大脑结构是否与教育程度相互作用以预测 MDD 状态。分析表明,许多枕叶、顶叶和额叶区域的皮质厚度与教育程度显著相互作用,以预测 MDD 状态。对于大多数区域,模型表明存在差异易感性效应,即皮质厚度越厚,在受教育程度较低的个体中越有可能预测 MDD,但在受教育程度较高的个体中预测 MDD 的可能性越小。研究结果表明,大脑中与视觉运动和社会认知功能相关的区域的厚度越大,越容易患上 MDD,这取决于受教育程度。然而,最终需要进行纵向研究来确定皮质厚度是否代表预先存在的易感性标志物。