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本文引用的文献

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Functional connectivity predictors of acute depression treatment outcome.急性抑郁症治疗结果的功能连接预测因子。
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Intrinsic Functional Network Connectivity Is Associated With Clinical Symptoms and Cognition in Late-Life Depression.静息态功能网络连接与老年期抑郁症的临床症状和认知相关。
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Early affective changes and increased connectivity in preclinical Alzheimer's disease.临床前阿尔茨海默病的早期情感变化及连接性增加
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Putamen Volume Differences Among Older Adults: Depression Status, Melancholia, and Age.老年人壳核体积差异:抑郁状态、忧郁症与年龄
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Negative Affectivity, Aging, and Depression: Results From the Neurobiology of Late-Life Depression (NBOLD) Study.消极情感、衰老与抑郁:来自老年期抑郁症的神经生物学研究(NBOLD)的结果。
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Phases of Hyperconnectivity and Hypoconnectivity in the Default Mode and Salience Networks Track with Amyloid and Tau in Clinically Normal Individuals.在临床正常个体中,默认模式网络和突显网络的高连接性和低连接性阶段与淀粉样蛋白和tau蛋白相关。
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精神病学中成像技术应用的最新进展:老年期抑郁症中大规模脑网络的功能磁共振成像

Recent advances in the use of imaging in psychiatry: functional magnetic resonance imaging of large-scale brain networks in late-life depression.

作者信息

Manning Kevin, Wang Lihong, Steffens David

机构信息

Department of Psychiatry, University of Connecticut Health Center, Farmington, CT, USA.

出版信息

F1000Res. 2019 Aug 6;8. doi: 10.12688/f1000research.17399.1. eCollection 2019.

DOI:10.12688/f1000research.17399.1
PMID:31448089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6685449/
Abstract

Advances in neuroimaging have identified neural systems that contribute to clinical symptoms that occur across various psychiatric disorders. This transdiagnostic approach to understanding psychiatric illnesses may serve as a precise guide to identifying disease mechanisms and informing successful treatments. While this work is ongoing across multiple psychiatric disorders, in this article we emphasize recent findings pertaining to major depression in the elderly, or late-life depression (LLD), a common and debilitating neuropsychiatric illness. We discuss how neural functioning of three networks is linked to symptom presentation, illness course, and cognitive decline in LLD. These networks are (1) an executive control network responsible for complex cognitive processing, (2) a default mode network normally deactivated during cognitive demanding when individuals are at rest, and a (3) salience network relevant to attending to internal and external emotional and physiological sensations. We discuss how dysfunction in multiple networks contributes to common behavioral syndromes, and we present an overview of the cognitive control, default mode, and salience networks observed in LLD.

摘要

神经影像学的进展已经识别出了一些神经系统,这些系统与各种精神疾病中出现的临床症状有关。这种理解精神疾病的跨诊断方法可能会成为识别疾病机制和为成功治疗提供依据的精确指南。虽然这项工作正在多种精神疾病中开展,但在本文中,我们重点关注与老年期重度抑郁症或晚年抑郁症(LLD)相关的最新研究结果,LLD是一种常见且使人衰弱的神经精神疾病。我们讨论了三个神经网络的神经功能如何与LLD的症状表现、病程及认知衰退相联系。这三个网络分别是:(1)负责复杂认知加工的执行控制网络;(2)通常在个体休息时处于认知需求状态下会失活的默认模式网络;以及(3)与关注内部和外部情绪及生理感觉相关的突显网络。我们讨论了多个网络功能失调如何导致常见的行为综合征,并概述了在LLD中观察到的认知控制、默认模式和突显网络。