Suppr超能文献

执行控制网络或默认模式网络的功能连接与缓解期老年重性抑郁障碍或轻度认知障碍患者认知障碍的关联。

Association of functional connectivity of the executive control network or default mode network with cognitive impairment in older adults with remitted major depressive disorder or mild cognitive impairment.

机构信息

Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.

出版信息

Neuropsychopharmacology. 2023 Feb;48(3):468-477. doi: 10.1038/s41386-022-01308-2. Epub 2022 Apr 11.

Abstract

Major depressive disorder (MDD) is associated with an increased risk of developing dementia. The present study aimed to better understand this risk by comparing resting state functional connectivity (rsFC) in the executive control network (ECN) and the default mode network (DMN) in older adults with MDD or mild cognitive impairment (MCI). Additionally, we examined the association between rsFC in the ECN or DMN and cognitive impairment transdiagnostically. We assessed rsFC alterations in ECN and DMN in 383 participants from five groups at-risk for dementia-remitted MDD with normal cognition (MDD-NC), non-amnestic mild cognitive impairment (naMCI), remitted MDD + naMCI, amnestic MCI (aMCI), and remitted MDD + aMCI-and from healthy controls (HC) or individuals with Alzheimer's dementia (AD). Subject-specific whole-brain functional connectivity maps were generated for each network and group differences in rsFC were calculated. We hypothesized that alteration of rsFC in the ECN and DMN would be progressively larger among our seven groups, ranked from low to high according to their risk for dementia as HC, MDD-NC, naMCI, MDD + naMCI, aMCI, MDD + aMCI, and AD. We also regressed scores of six cognitive domains (executive functioning, processing speed, language, visuospatial memory, verbal memory, and working memory) on the ECN and DMN connectivity maps. We found a significant alteration in the rsFC of the ECN, with post hoc testing showing differences between the AD group and the HC, MDD-NC, or naMCI groups, but no significant alterations in rsFC of the DMN. Alterations in rsFC of the ECN and DMN were significantly associated with several cognitive domain scores transdiagnostically. Our findings suggest that a diagnosis of remitted MDD may not confer functional brain risk for dementia. However, given the association of rs-FC with cognitive performance (i.e., transdiagnostically), rs-FC may help in stratifying this risk among people with MDD and varying degrees of cognitive impairment.

摘要

重度抑郁症(MDD)与痴呆的发病风险增加有关。本研究旨在通过比较患有 MDD 或轻度认知障碍(MCI)的老年人的执行控制网络(ECN)和默认模式网络(DMN)的静息状态功能连接(rsFC),更好地理解这种风险。此外,我们还研究了 ECN 或 DMN 的 rsFC 与跨诊断认知障碍的相关性。我们评估了五个处于痴呆风险中的 MDD 缓解后认知正常(MDD-NC)、非遗忘性轻度认知障碍(naMCI)、MDD 缓解后加 naMCI、遗忘性 MCI(aMCI)和 MDD 缓解后加 aMCI-以及健康对照组(HC)或阿尔茨海默病痴呆症(AD)患者的 ECN 和 DMN 中 rsFC 的改变。为每个网络生成了个体全脑功能连接图,并计算了 rsFC 的组间差异。我们假设,随着我们七个组从痴呆风险最低到最高的顺序(HC、MDD-NC、naMCI、MDD+naMCI、aMCI、MDD+aMCI 和 AD)排列,ECN 和 DMN 中的 rsFC 改变将逐渐增大。我们还将六个认知领域(执行功能、处理速度、语言、视空间记忆、言语记忆和工作记忆)的分数与 ECN 和 DMN 连接图进行了回归。我们发现 ECN 的 rsFC 发生了显著改变,事后检验显示 AD 组与 HC、MDD-NC 或 naMCI 组之间存在差异,但 DMN 的 rsFC 没有显著改变。ECN 和 DMN 的 rsFC 改变与多个认知领域的分数显著相关。我们的研究结果表明,缓解后的 MDD 诊断可能不会使大脑对痴呆症的功能产生风险。然而,鉴于 rs-FC 与认知表现的相关性(即跨诊断),rs-FC 可能有助于在 MDD 和认知障碍程度不同的人群中对这种风险进行分层。

相似文献

7
Brain network functional connectivity and cognitive performance in major depressive disorder.
J Psychiatr Res. 2019 Mar;110:51-56. doi: 10.1016/j.jpsychires.2018.11.020. Epub 2018 Nov 22.
10
The alteration of cognitive function networks in remitted patients with major depressive disorder: an independent component analysis.
Behav Brain Res. 2021 Feb 26;400:113018. doi: 10.1016/j.bbr.2020.113018. Epub 2020 Dec 7.

引用本文的文献

1
Disruptive resting state networks characterizing depressive comorbidity in Alzheimer's disease and mild cognitive impairment.
J Alzheimers Dis. 2025 Jul;106(1):18-37. doi: 10.1177/13872877251337770. Epub 2025 May 6.
3
Enhanced individual difference of functional brain network induced by volitional eyes closing.
Sci Rep. 2025 Apr 15;15(1):13037. doi: 10.1038/s41598-025-97621-z.
8
Age-Related Alterations in Gray Matter Microstructure in Older People With Remitted Major Depression at Risk for Dementia.
Biol Psychiatry Glob Open Sci. 2023 Sep 12;4(1):374-384. doi: 10.1016/j.bpsgos.2023.08.018. eCollection 2024 Jan.

本文引用的文献

1
Coordinate-Based Network Mapping of Brain Structure in Major Depressive Disorder in Younger and Older Adults: A Systematic Review and Meta-Analysis.
Am J Psychiatry. 2021 Dec;178(12):1119-1128. doi: 10.1176/appi.ajp.2021.21010088. Epub 2021 Oct 14.
3
Language Network Connectivity Increases in Early Alzheimer's Disease.
J Alzheimers Dis. 2021;82(1):447-460. doi: 10.3233/JAD-201584.
4
Diagnostic Precision in the Detection of Mild Cognitive Impairment: A Comparison of Two Approaches.
Am J Geriatr Psychiatry. 2022 Jan;30(1):54-64. doi: 10.1016/j.jagp.2021.04.004. Epub 2021 Apr 14.
5
Late-life depression and increased risk of dementia: a longitudinal cohort study.
Transl Psychiatry. 2021 Mar 2;11(1):147. doi: 10.1038/s41398-021-01269-y.
6
Different Modular Organization Between Early Onset and Late Onset Depression: A Study Base on Granger Causality Analysis.
Front Aging Neurosci. 2021 Feb 9;13:625175. doi: 10.3389/fnagi.2021.625175. eCollection 2021.
7
Moving beyond the mean: Subgroups and dimensions of brain activity and cognitive performance across domains.
Neuroimage. 2021 May 1;231:117823. doi: 10.1016/j.neuroimage.2021.117823. Epub 2021 Feb 4.
8
The interaction between language and working memory: a systematic review of fMRI studies in the past two decades.
AIMS Neurosci. 2020 Nov 16;8(1):1-32. doi: 10.3934/Neuroscience.2021001. eCollection 2021.
10
Connectome-based models can predict processing speed in older adults.
Neuroimage. 2020 Dec;223:117290. doi: 10.1016/j.neuroimage.2020.117290. Epub 2020 Aug 29.

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