• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

扩展“抑郁的静息状态假说”——异常静息任务调节的动力学和拓扑。

Extending the "resting state hypothesis of depression" - dynamics and topography of abnormal rest-task modulation.

机构信息

Mind, Brain Imaging and Neuroethics, University of Ottawa Institute of Mental Health Research, Ottawa, Canada; Department of Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, Canada.

Mind, Brain Imaging and Neuroethics, University of Ottawa Institute of Mental Health Research, Ottawa, Canada.

出版信息

Psychiatry Res Neuroimaging. 2021 Nov 30;317:111367. doi: 10.1016/j.pscychresns.2021.111367. Epub 2021 Aug 20.

DOI:10.1016/j.pscychresns.2021.111367
PMID:34555652
Abstract

Major depressive disorder (MDD) is characterized by changes in both rest and task states as manifested in temporal dynamics (EEG) and spatial patterns (fMRI). Are rest and task changes related to each other? Extending the "Resting state hypothesis of depression" (RSHD) (Northoff et al., 2011), we, using multimodal imaging, take a tripartite approach: (i) we conduct a review of EEG studies in MDD combining both rest and task states; (ii) we present our own EEG data in MDD on brain dynamics, i.e., intrinsic neural timescales as measured by the autocorrelation window (ACW); and (iii) we review fMRI studies in MDD to probe whether different regions exhibit different rest-task modulation. Review of EEG data shows reduced rest-task change in MDD in different measures of temporal dynamics like peak frequency (and others). Notably, our own EEG data show decreased rest-task change as measured by ACW in frontal electrodes of MDD. The fMRI data reveal that different regions exhibit different rest-task relationships (normal rest-abnormal task, abnormal rest-normal task, abnormal rest-abnormal task) in MDD. Together, we demonstrate altered spatiotemporal dynamics of rest-task modulation in MDD; this further supports and extends the key role of the spontaneous activity in MDD as proposed by the RSHD.

摘要

重度抑郁症(MDD)的特征是静息和任务状态都发生变化,表现在时间动态(EEG)和空间模式(fMRI)上。静息和任务变化是否相关?扩展“抑郁症的静息状态假说”(RSHD)(Northoff 等人,2011),我们使用多模态成像,采用三分法:(i)我们对 MDD 的 EEG 研究进行综述,结合静息和任务状态;(ii)我们展示了我们自己在 MDD 中关于大脑动力学的 EEG 数据,即通过自相关窗口(ACW)测量的内在神经时间尺度;(iii)我们综述了 MDD 中的 fMRI 研究,以探讨不同区域是否表现出不同的静息-任务调节。对 EEG 数据的综述表明,在不同的时间动态测量中,如峰值频率(和其他),MDD 的静息-任务变化减少。值得注意的是,我们自己的 EEG 数据显示,MDD 的额部电极的 ACW 测量的静息-任务变化减少。fMRI 数据显示,在 MDD 中,不同区域表现出不同的静息-任务关系(正常静息-异常任务、异常静息-正常任务、异常静息-异常任务)。总的来说,我们证明了 MDD 中静息-任务调节的时空动态发生了改变;这进一步支持和扩展了 RSHD 提出的自发性活动在 MDD 中的关键作用。

相似文献

1
Extending the "resting state hypothesis of depression" - dynamics and topography of abnormal rest-task modulation.扩展“抑郁的静息状态假说”——异常静息任务调节的动力学和拓扑。
Psychiatry Res Neuroimaging. 2021 Nov 30;317:111367. doi: 10.1016/j.pscychresns.2021.111367. Epub 2021 Aug 20.
2
Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project.重度抑郁症患者半球连接专业化中断:来自 REST-meta-MDD 项目的证据。
J Affect Disord. 2021 Apr 1;284:217-228. doi: 10.1016/j.jad.2021.02.030. Epub 2021 Feb 12.
3
Correlation between amygdala BOLD activity and frontal EEG asymmetry during real-time fMRI neurofeedback training in patients with depression.抑郁症患者实时功能磁共振成像神经反馈训练期间杏仁核血氧水平依赖性功能磁共振成像活动与额叶脑电图不对称性之间的相关性
Neuroimage Clin. 2016 Feb 12;11:224-238. doi: 10.1016/j.nicl.2016.02.003. eCollection 2016.
4
Decreased intrinsic neural timescale in treatment-naïve adolescent depression.治疗初发青少年抑郁症患者的固有神经时间尺度降低。
J Affect Disord. 2024 Mar 1;348:389-397. doi: 10.1016/j.jad.2023.12.048. Epub 2023 Dec 30.
5
Altered task modulation of global signal topography in the default-mode network of unmedicated major depressive disorder.未用药的重度抑郁症默认模式网络中全局信号拓扑结构的任务调节改变。
J Affect Disord. 2022 Jan 15;297:53-61. doi: 10.1016/j.jad.2021.09.093. Epub 2021 Oct 2.
6
Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium.重度抑郁症患者静息态动态功能脑网络的改变:REST-meta-MDD 联盟的研究结果。
Neuroimage Clin. 2020;26:102163. doi: 10.1016/j.nicl.2020.102163. Epub 2020 Jan 7.
7
Frequency-dependent alterations in regional homogeneity in major depression.重度抑郁症中区域同质性的频率依赖性改变。
Behav Brain Res. 2016 Jun 1;306:13-9. doi: 10.1016/j.bbr.2016.03.012. Epub 2016 Mar 9.
8
Intrinsic cerebral activity at resting state in adults with major depressive disorder: A meta-analysis.成年重度抑郁症患者静息状态下的脑内固有活动:一项荟萃分析。
Prog Neuropsychopharmacol Biol Psychiatry. 2017 Apr 3;75:157-164. doi: 10.1016/j.pnpbp.2017.02.001. Epub 2017 Feb 4.
9
Task-positive and task-negative networks in major depressive disorder: A combined fMRI and EEG study.重度抑郁症中的任务正性网络和任务负性网络:一项 fMRI 和 EEG 联合研究。
J Affect Disord. 2018 Aug 1;235:211-219. doi: 10.1016/j.jad.2018.04.003. Epub 2018 Apr 7.
10
Amplitude of low-frequency oscillations in first-episode, treatment-naive patients with major depressive disorder: a resting-state functional MRI study.首发未用药的重性抑郁障碍患者低频振幅的变化:一项静息态功能磁共振研究。
PLoS One. 2012;7(10):e48658. doi: 10.1371/journal.pone.0048658. Epub 2012 Oct 31.

引用本文的文献

1
Altered spatiotemporal brain dynamics of interoception in behavioural-variant frontotemporal dementia.行为变异型额颞叶痴呆中内感受的时空脑动力学改变。
EBioMedicine. 2025 Mar;113:105614. doi: 10.1016/j.ebiom.2025.105614. Epub 2025 Feb 22.
2
Prediction of pharmacological treatment efficacy using electroencephalography-based salience network in patients with major depressive disorder.基于脑电图的突显网络预测重度抑郁症患者的药物治疗疗效
Front Psychiatry. 2024 Oct 17;15:1469645. doi: 10.3389/fpsyt.2024.1469645. eCollection 2024.
3
Editorial: Analyzing and computing humans - the role of language, culture, brain and health.
社论:分析与计算人类——语言、文化、大脑与健康的作用
Front Hum Neurosci. 2024 Jul 2;18:1439729. doi: 10.3389/fnhum.2024.1439729. eCollection 2024.
4
Brain dynamics predictive of response to psilocybin for treatment-resistant depression.预测对治疗抵抗性抑郁症使用裸盖菇素反应的脑动力学
Brain Commun. 2024 Feb 15;6(2):fcae049. doi: 10.1093/braincomms/fcae049. eCollection 2024.
5
Boltzmann's Theorem Revisited: Inaccurate Time-to-Action Clocks in Affective Disorders.重新审视玻尔兹曼定理:情感障碍中的行动时间时钟不准确。
Curr Neuropharmacol. 2024;22(11):1762-1777. doi: 10.2174/1570159X22666240315100326.
6
A synergetic turn in cognitive neuroscience of brain diseases.脑部疾病认知神经科学的协同转向。
Trends Cogn Sci. 2024 Apr;28(4):319-338. doi: 10.1016/j.tics.2023.12.006. Epub 2024 Jan 20.
7
Intrinsic timescales and predictive allostatic interoception in brain health and disease.内在时间尺度和预测性自主感觉传入在大脑健康和疾病中的作用。
Neurosci Biobehav Rev. 2024 Feb;157:105510. doi: 10.1016/j.neubiorev.2023.105510. Epub 2023 Dec 15.
8
Prediction of Early Antidepressant Efficacy in Patients with Major Depressive Disorder Based on Multidimensional Features of rs-fMRI and Gene DNA Methylation: Prédiction de l'efficacité précoce d'un antidépresseur chez des patients souffrant du trouble dépressif majeur d'après les caractéristiques multidimensionnelles de la méthylation de l'ADN du gène P11 et de la IRMf-rs.基于 rs-fMRI 和基因 DNA 甲基化的多维特征预测重度抑郁症患者的早期抗抑郁疗效:基于 P11 基因 DNA 甲基化和 rs-fMRI 的多维特征预测重度抑郁症患者早期抗抑郁疗效。
Can J Psychiatry. 2024 Apr;69(4):264-274. doi: 10.1177/07067437231210787. Epub 2023 Nov 3.
9
Spatiotemporal Psychopathology - A Novel Approach to Brain and Symptoms.时空精神病理学——一种研究大脑与症状的新方法。
Noro Psikiyatr Ars. 2022 Dec 16;59(Suppl 1):S3-S9. doi: 10.29399/npa.28146. eCollection 2022.