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静息态功能磁共振成像在帕金森病及相关痴呆中的应用。

Resting-State Functional MRI Approaches to Parkinsonisms and Related Dementia.

机构信息

Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Napoli, Italy.

Neuropsychology Laboratory, Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.

出版信息

Curr Neurol Neurosci Rep. 2024 Oct;24(10):461-477. doi: 10.1007/s11910-024-01365-8. Epub 2024 Jul 24.

DOI:10.1007/s11910-024-01365-8
PMID:39046642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11415422/
Abstract

PURPOSE OF THE REVIEW

In this review, we attempt to summarize the most updated studies that applied resting-state functional magnetic resonance imaging (rs-fMRI) in the field of Parkinsonisms and related dementia.

RECENT FINDINGS

Over the past decades, increasing interest has emerged on investigating the presence and pathophysiology of cognitive symptoms in Parkinsonisms and their possible role as predictive biomarkers of neurodegenerative brain processes. In recent years, evidence has been provided, applying mainly three methodological approaches (i.e. seed-based, network-based and graph-analysis) on rs-fMRI data, with promising results. Neural correlates of cognitive impairment and dementia have been detected in patients with Parkinsonisms along the diseases course. Interestingly, early functional connectivity signatures were proposed to track and predict future progression of neurodegenerative processes. However, longitudinal studies are still sparce and further investigations are needed to overcome this knowledge gap.

摘要

目的综述

在本篇综述中,我们试图总结应用静息态功能磁共振成像(rs-fMRI)于帕金森病及相关痴呆领域的最新研究。

最新发现

过去几十年来,人们对帕金森病患者认知症状的存在及其病理生理学,以及它们作为神经退行性脑过程预测生物标志物的可能作用越来越感兴趣。近年来,已经应用 rs-fMRI 数据主要通过三种方法学途径(即种子法、网络法和图分析)提供了证据,结果很有前景。在帕金森病患者中,沿着疾病进程可以检测到认知障碍和痴呆的神经相关性。有趣的是,早期功能连接特征被提出用于跟踪和预测神经退行性过程的未来进展。然而,纵向研究仍然很少,需要进一步的研究来弥补这一知识空白。

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本文引用的文献

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Mild cognitive impairment in multiple system atrophy: a brain network disorder.多系统萎缩中的轻度认知障碍:一种脑网络疾病。
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Altered functional connectivity within the brain fear circuit in Parkinson's disease with anxiety: A seed-based functional connectivity study.帕金森病伴焦虑患者大脑恐惧回路内功能连接的改变:一项基于种子点的功能连接研究。
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Functional connectome automatically differentiates multiple system atrophy (parkinsonian type) from idiopathic Parkinson's disease at early stages.功能连接组学可在早期自动区分多种系统萎缩(帕金森型)和特发性帕金森病。
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Changes in both top-down and bottom-up effective connectivity drive visual hallucinations in Parkinson's disease.自上而下和自下而上的有效连接性变化都会引发帕金森病中的视幻觉。
Brain Commun. 2022 Dec 14;5(1):fcac329. doi: 10.1093/braincomms/fcac329. eCollection 2023.
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Alterations in Large-Scale Intrinsic Connectivity Networks in the Parkinson's Disease-Associated Cognitive Impairment Continuum: A Systematic Review.帕金森病相关认知障碍连续体中大规模内在连接网络的改变:一项系统综述。
Noro Psikiyatr Ars. 2022 Nov 7;59(Suppl 1):S57-S66. doi: 10.29399/npa.28209. eCollection 2022.
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Resting-state network connectivity changes in drug-naive Parkinson's disease patients with probable REM sleep behavior disorder.初发帕金森病伴可能快速眼动睡眠行为障碍患者静息态网络连接变化
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