• 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

帕金森病执行功能和后皮质认知特征的网络基础。

Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease.

机构信息

Cumming School of Medicine, Hotchkiss Brain Institute, Calgary, AB, Canada.

Department of Clinical Neurosciences and Department of Radiology, University of Calgary, Calgary, AB, Canada.

出版信息

Mov Disord. 2019 Jun;34(6):893-902. doi: 10.1002/mds.27674. Epub 2019 Mar 29.

DOI:10.1002/mds.27674
PMID:30924964
Abstract

BACKGROUND

The dual syndrome hypothesis of cognitive impairment in PD suggests that two cognitive profiles exist with distinct pathological mechanisms and a differential risk for further cognitive decline. How these profiles relate to network dysfunction has never been explicitly characterized.

OBJECTIVE

First, to assess intranetwork functional connectivity while considering global connectivity, and second, to relate network connectivity with measures of the dysexecutive and posterior cortical profiles.

METHODS

Eighty-two subjects with idiopathic PD and 37 age-matched controls underwent resting-state functional MRI and comprehensive neuropsychological assessment. Intranetwork and global connectivity was compared between groups. Measures of the dysexecutive and posterior cortical profiles were related to network connectivity while considering demographic and disease-related covariates.

RESULTS

PD subjects show decreased connectivity within several cortical networks. However, only the sensorimotor network displayed a loss of connectivity independent of the observed decreased global connectivity. The dysexecutive factor was independently related to increased motor severity, less education, and decreased connectivity in the sensorimotor network. The posterior cortical factor was related to increased age, less education, decreased connectivity in the central executive network, as well as increased connectivity in the temporal network.

CONCLUSIONS

Our results provide evidence supporting a network-specific process of degeneration in the sensorimotor network which contributes to the dysexecutive cognitive profile. In contrast, connectivity of the temporal and central executive network is related to the posterior cortical profile, representing a distinct network signature of this syndrome. © 2019 International Parkinson and Movement Disorder Society.

摘要

背景

认知障碍的 PD 双重综合征假说表明,存在两种认知特征,具有不同的病理机制和进一步认知下降的不同风险。这些特征与网络功能障碍有何关系尚不清楚。

目的

首先,评估内在网络功能连接,同时考虑全局连接,其次,将网络连接与执行功能和皮质后区的指标相关联。

方法

82 名特发性 PD 患者和 37 名年龄匹配的对照组接受静息状态功能磁共振成像和全面神经心理学评估。比较组间内在网络和全局连接。在考虑人口统计学和疾病相关协变量的情况下,将执行功能和皮质后区的指标与网络连接相关联。

结果

PD 患者的几个皮质网络内的连接性降低。然而,只有感觉运动网络显示出与观察到的全局连接降低无关的连接丧失。执行功能因子与运动严重程度增加、教育程度降低和感觉运动网络连接减少独立相关。皮质后区因子与年龄增加、教育程度降低、中央执行网络连接减少以及颞网络连接增加有关。

结论

我们的结果提供了证据支持感觉运动网络中存在特定于网络的退化过程,这有助于执行功能认知特征。相比之下,颞叶和中央执行网络的连接与皮质后区特征有关,代表了这种综合征的独特网络特征。© 2019 国际帕金森病和运动障碍学会。

相似文献

1
Network basis of the dysexecutive and posterior cortical cognitive profiles in Parkinson's disease.帕金森病执行功能和后皮质认知特征的网络基础。
Mov Disord. 2019 Jun;34(6):893-902. doi: 10.1002/mds.27674. Epub 2019 Mar 29.
2
Resting state functional connectivity is associated with cognitive dysfunction in non-demented people with Parkinson's disease.静息态功能连接与非痴呆帕金森病患者的认知功能障碍有关。
J Parkinsons Dis. 2014;4(3):453-65. doi: 10.3233/JPD-130341.
3
Resting-state networks and their relationship with MoCA performance in PD patients.静息态网络及其与 PD 患者 MoCA 表现的关系。
Brain Imaging Behav. 2024 Jun;18(3):612-621. doi: 10.1007/s11682-024-00860-3. Epub 2024 Feb 9.
4
A divergent breakdown of neurocognitive networks in Parkinson's Disease mild cognitive impairment.帕金森病轻度认知障碍患者神经认知网络的离散崩溃。
Hum Brain Mapp. 2019 Aug 1;40(11):3233-3242. doi: 10.1002/hbm.24593. Epub 2019 Apr 1.
5
Mild cognitive impairment disrupts attention network connectivity in Parkinson's disease: A combined multimodal MRI and meta-analytical study.轻度认知障碍破坏帕金森病的注意网络连通性:一项联合多模态 MRI 和荟萃分析研究。
Neuropsychologia. 2018 Apr;112:105-115. doi: 10.1016/j.neuropsychologia.2018.03.011. Epub 2018 Mar 11.
6
Cognitive impairment and resting-state network connectivity in Parkinson's disease.帕金森病中的认知障碍与静息态网络连通性
Hum Brain Mapp. 2015 Jan;36(1):199-212. doi: 10.1002/hbm.22622. Epub 2014 Aug 28.
7
Resting-State Functional Connectivity in Frontostriatal and Posterior Cortical Subtypes in Parkinson's Disease-Mild Cognitive Impairment.帕金森病-轻度认知障碍中额纹状体和后皮质亚型的静息态功能连接性
Mov Disord. 2022 Mar;37(3):502-512. doi: 10.1002/mds.28888. Epub 2021 Dec 17.
8
Functional connectivity between resting-state networks reflects decline in executive function in Parkinson's disease: A longitudinal fMRI study.静息态网络间的功能连接反映帕金森病患者执行功能的下降:一项纵向 fMRI 研究。
Neuroimage Clin. 2020;28:102468. doi: 10.1016/j.nicl.2020.102468. Epub 2020 Oct 15.
9
Stage-dependent differential impact of network communication on cognitive function across the continuum of cognitive decline in Parkinson's disease.网络通信对帕金森病认知衰退连续体中认知功能的影响具有阶段依赖性。
Neurobiol Dis. 2024 Sep;199:106578. doi: 10.1016/j.nbd.2024.106578. Epub 2024 Jun 24.
10
Cognitive phenotypes in parkinson's disease differ in terms of brain-network organization and connectivity.帕金森病的认知表型在脑网络组织和连接性方面存在差异。
Hum Brain Mapp. 2017 Mar;38(3):1604-1621. doi: 10.1002/hbm.23474. Epub 2016 Nov 17.

引用本文的文献

1
Machine learning for Parkinson's disease: a comprehensive review of datasets, algorithms, and challenges.帕金森病的机器学习:数据集、算法及挑战的全面综述
NPJ Parkinsons Dis. 2025 Jul 1;11(1):187. doi: 10.1038/s41531-025-01025-9.
2
Neural basis of dysexecutive and visuospatial impairments in Parkinson's disease with MCI: a task-based fNIRS study.帕金森病合并轻度认知障碍患者执行功能障碍和视觉空间障碍的神经基础:一项基于任务的功能近红外光谱研究。
NPJ Parkinsons Dis. 2025 Jun 12;11(1):163. doi: 10.1038/s41531-025-01013-z.
3
Cortical connectivity predicts cognition across time in Parkinson's disease.
皮质连接性可预测帕金森病患者随时间推移的认知情况。
medRxiv. 2025 May 13:2025.05.13.25327462. doi: 10.1101/2025.05.13.25327462.
4
Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis.用于医学图像分析的分布式机器学习中有害数据集的自监督识别与消除
NPJ Digit Med. 2025 Feb 15;8(1):104. doi: 10.1038/s41746-025-01499-0.
5
Neuroimaging Biomarkers in Parkinson's Disease.帕金森病的神经影像学标志物。
Adv Neurobiol. 2024;40:617-663. doi: 10.1007/978-3-031-69491-2_21.
6
HarmonyTM: multi-center data harmonization applied to distributed learning for Parkinson's disease classification.HarmonyTM:应用于帕金森病分类分布式学习的多中心数据协调
J Med Imaging (Bellingham). 2024 Sep;11(5):054502. doi: 10.1117/1.JMI.11.5.054502. Epub 2024 Sep 20.
7
Exploiting macro- and micro-structural brain changes for improved Parkinson's disease classification from MRI data.利用大脑的宏观和微观结构变化,通过磁共振成像(MRI)数据改进帕金森病的分类。
NPJ Parkinsons Dis. 2024 Feb 26;10(1):43. doi: 10.1038/s41531-024-00647-9.
8
A multi-center distributed learning approach for Parkinson's disease classification using the traveling model paradigm.一种使用移动模型范式进行帕金森病分类的多中心分布式学习方法。
Front Artif Intell. 2024 Feb 7;7:1301997. doi: 10.3389/frai.2024.1301997. eCollection 2024.
9
Interactions between functional networks in Parkinson's disease mild cognitive impairment.帕金森病轻度认知障碍的功能网络之间的相互作用。
Sci Rep. 2023 Nov 17;13(1):20162. doi: 10.1038/s41598-023-46991-3.
10
Image-encoded biological and non-biological variables may be used as shortcuts in deep learning models trained on multisite neuroimaging data.基于多中心神经影像数据训练的深度学习模型中,可以将图像编码的生物学和非生物学变量用作捷径。
J Am Med Inform Assoc. 2023 Nov 17;30(12):1925-1933. doi: 10.1093/jamia/ocad171.