• 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

与正常对照组和帕金森病患者相比,无多巴胺能缺陷证据(SWEDD)患者扫描的结构连接图谱。

Structural connectivity profile of scans without evidence of dopaminergic deficit (SWEDD) patients compared to normal controls and Parkinson's disease patients.

作者信息

Kim Mansu, Park Hyunjin

机构信息

Department of Electronic Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea.

School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea ; Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science, Suwon, Korea.

出版信息

Springerplus. 2016 Aug 26;5(1):1421. doi: 10.1186/s40064-016-3110-8. eCollection 2016.

DOI:10.1186/s40064-016-3110-8
PMID:27625975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5001967/
Abstract

BACKGROUND

In this study, we investigated the structural connectivity profile of patients with scans without evidence of dopaminergic deficit (SWEDD) compared with normal controls (NC) and patients with Parkinson's disease (PD). An accurate understanding of SWEDD is important so that appropriate therapeutic options can be presented to patients.

METHODS

Diffusion magnetic resonance imaging of NC (n = 40), SWEDD (n = 40) and PD patients (n = 40) was obtained from a research database. Tractography, the process of obtaining fiber information was performed. Connectivity analysis was performed on 16 connections in the cortico-basal ganglia-thalamo-cortical circuit. Group-wise differences among NC, PD and SWEDD patients were quantified in terms of structural connectivity based on fiber density. Then, we investigated correlations with the clinical score using the Movement Disorder Society-Sponsored Unified Parkinson's Disease Rating Scale (MDS-UPDRS). A support vector machine classifier and leave-one-out cross-validation were applied to separate the NC, SWEDD and PD groups.

RESULTS

Pallidum-putamen and sensorimotor cortex-putamen connections showed significant group-wise differences among NC, PD and SWEDD patients and correlated with the MDS-UPDRS score.

CONCLUSIONS

Pallidum-putamen and sensorimotor cortex-putamen connections might form a structural connectivity profile unique to SWEDD and could be a potential imaging biomarker for future movement disorder research.

摘要

背景

在本研究中,我们调查了无多巴胺能缺陷扫描(SWEDD)患者与正常对照(NC)及帕金森病(PD)患者相比的结构连接情况。准确了解SWEDD很重要,这样才能为患者提供合适的治疗选择。

方法

从一个研究数据库中获取了NC(n = 40)、SWEDD(n = 40)和PD患者(n = 40)的扩散磁共振成像。进行了纤维束成像,即获取纤维信息的过程。对皮质-基底神经节-丘脑-皮质回路中的16条连接进行了连接性分析。基于纤维密度,对NC、PD和SWEDD患者之间的组间差异进行了结构连接方面的量化。然后,我们使用运动障碍协会赞助的统一帕金森病评定量表(MDS-UPDRS)研究了与临床评分的相关性。应用支持向量机分类器和留一法交叉验证来区分NC、SWEDD和PD组。

结果

苍白球-壳核和感觉运动皮质-壳核连接在NC、PD和SWEDD患者之间显示出显著的组间差异,且与MDS-UPDRS评分相关。

结论

苍白球-壳核和感觉运动皮质-壳核连接可能形成SWEDD独特的结构连接情况,并且可能成为未来运动障碍研究的潜在影像学生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/f67647b5f119/40064_2016_3110_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/697bd4a83853/40064_2016_3110_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/38d112514d89/40064_2016_3110_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/f67647b5f119/40064_2016_3110_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/697bd4a83853/40064_2016_3110_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/38d112514d89/40064_2016_3110_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/48cb/5001967/f67647b5f119/40064_2016_3110_Fig3_HTML.jpg

相似文献

1
Structural connectivity profile of scans without evidence of dopaminergic deficit (SWEDD) patients compared to normal controls and Parkinson's disease patients.与正常对照组和帕金森病患者相比,无多巴胺能缺陷证据(SWEDD)患者扫描的结构连接图谱。
Springerplus. 2016 Aug 26;5(1):1421. doi: 10.1186/s40064-016-3110-8. eCollection 2016.
2
Using Tractography to Distinguish SWEDD from Parkinson's Disease Patients Based on Connectivity.基于连通性,利用纤维束成像技术区分扫描无异常发现的痴呆(SWEDD)与帕金森病患者。
Parkinsons Dis. 2016;2016:8704910. doi: 10.1155/2016/8704910. Epub 2016 Feb 29.
3
Structural connectivity alterations in the motor network of patients with scans without evidence of dopaminergic deficit (SWEDD).无多巴胺能缺陷扫描(SWEDD)患者运动网络中的结构连接改变
J Neurol. 2022 Nov;269(11):5926-5933. doi: 10.1007/s00415-022-11259-9. Epub 2022 Jul 6.
4
Local White Matter Fiber Clustering Differentiates Parkinson's Disease Diagnoses.局部白质纤维聚类可区分帕金森病诊断。
Neuroscience. 2020 May 21;435:146-160. doi: 10.1016/j.neuroscience.2020.03.049. Epub 2020 Apr 6.
5
A ReliefF-SVM-based method for marking dopamine-based disease characteristics: A study on SWEDD and Parkinson's disease.一种基于 ReliefF-SVM 的多巴胺相关疾病特征标记方法:对扫描无异常发现(SWEDD)和帕金森病的研究
Behav Brain Res. 2019 Jan 1;356:400-407. doi: 10.1016/j.bbr.2018.09.003. Epub 2018 Sep 9.
6
Explainable machine learning with pairwise interactions for the classification of Parkinson's disease and SWEDD from clinical and imaging features.基于两两交互的可解释机器学习在帕金森病和 SWEDD 的临床和影像特征分类中的应用。
Brain Imaging Behav. 2022 Oct;16(5):2188-2198. doi: 10.1007/s11682-022-00688-9. Epub 2022 May 26.
7
Imaging analysis of Parkinson's disease patients using SPECT and tractography.SPECT 和示踪技术在帕金森病患者影像分析中的应用。
Sci Rep. 2016 Nov 30;6:38070. doi: 10.1038/srep38070.
8
Preserved Extrastriatal I-FP-CIT Binding in Scans Without Evidence of Dopaminergic Deficit (SWEDD).无多巴胺能缺陷扫描中保留的额外 I-FP-CIT 结合(SWEDD)。
Mol Imaging Biol. 2020 Dec;22(6):1592-1599. doi: 10.1007/s11307-020-01502-y.
9
Quantitative analysis of finger and forearm movements in patients with off state early stage Parkinson's disease and scans without evidence of dopaminergic deficit (SWEDD).早期帕金森病静止期患者手指和前臂运动的定量分析及扫描未见多巴胺能缺陷(SWEDD)。
Parkinsonism Relat Disord. 2018 Dec;57:33-38. doi: 10.1016/j.parkreldis.2018.07.012. Epub 2018 Jul 23.
10
Non-motor Clinical and Biomarker Predictors Enable High Cross-Validated Accuracy Detection of Early PD but Lesser Cross-Validated Accuracy Detection of Scans Without Evidence of Dopaminergic Deficit.非运动临床和生物标志物预测指标能够实现对早期帕金森病的高交叉验证准确性检测,但对无多巴胺能缺陷证据的扫描的交叉验证准确性检测较低。
Front Neurol. 2020 May 11;11:364. doi: 10.3389/fneur.2020.00364. eCollection 2020.

引用本文的文献

1
Classification of Parkinson's disease with and without dopaminergic deficiency based on non-motor symptoms and structural neuroimaging.基于非运动症状和结构神经影像学对伴有和不伴有多巴胺能缺乏的帕金森病进行分类。
Neurol Sci. 2025 Jun;46(6):2611-2625. doi: 10.1007/s10072-025-08045-6. Epub 2025 Feb 19.
2
Cerebrospinal fluid biomarkers profile in scans without evidence of dopaminergic deficits (SWEDD).无多巴胺能缺陷证据扫描(SWEDD)中的脑脊液生物标志物特征
IBRO Neurosci Rep. 2023 Oct 20;15:320-326. doi: 10.1016/j.ibneur.2023.10.001. eCollection 2023 Dec.
3
Unexpected (I)FP-CIT SPECT findings: SWIDD, SWEDD and all DAT.

本文引用的文献

1
Using Tractography to Distinguish SWEDD from Parkinson's Disease Patients Based on Connectivity.基于连通性,利用纤维束成像技术区分扫描无异常发现的痴呆(SWEDD)与帕金森病患者。
Parkinsons Dis. 2016;2016:8704910. doi: 10.1155/2016/8704910. Epub 2016 Feb 29.
2
MDS clinical diagnostic criteria for Parkinson's disease.帕金森病的MDS临床诊断标准。
Mov Disord. 2015 Oct;30(12):1591-601. doi: 10.1002/mds.26424.
3
Diffusion tensor imaging of the nigrostriatal fibers in Parkinson's disease.帕金森病中黑质纹状体纤维的扩散张量成像
意外的(碘代)-FP-CIT SPECT 结果:SWIDD、SWEDD 和所有 DAT。
J Neurol. 2022 Feb;269(2):758-770. doi: 10.1007/s00415-021-10809-x. Epub 2021 Sep 18.
4
Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review.帕金森病和帕金森综合征中的扩散张量成像:一项系统综述。
Front Neurol. 2020 Sep 25;11:531993. doi: 10.3389/fneur.2020.531993. eCollection 2020.
5
Imaging genetics approach to Parkinson's disease and its correlation with clinical score.帕金森病的影像遗传学方法及其与临床评分的相关性。
Sci Rep. 2017 Apr 21;7:46700. doi: 10.1038/srep46700.
Mov Disord. 2015 Aug;30(9):1229-36. doi: 10.1002/mds.26251. Epub 2015 Apr 29.
4
Patients with scans without evidence of dopaminergic deficit: a long-term follow-up study.无多巴胺能缺陷证据的扫描患者:一项长期随访研究。
Mov Disord. 2014 Dec;29(14):1820-5. doi: 10.1002/mds.26018. Epub 2014 Oct 28.
5
Mapping track density changes in nigrostriatal and extranigral pathways in Parkinson's disease.帕金森病中黑质纹状体和黑质外通路的追踪密度变化映射
Neuroimage. 2014 Oct 1;99:498-508. doi: 10.1016/j.neuroimage.2014.06.033. Epub 2014 Jun 20.
6
Structural Brain Connectivity in School-Age Preterm Infants Provides Evidence for Impaired Networks Relevant for Higher Order Cognitive Skills and Social Cognition.学龄期早产儿的脑结构连接为与高阶认知技能和社会认知相关的网络受损提供了证据。
Cereb Cortex. 2015 Sep;25(9):2793-805. doi: 10.1093/cercor/bhu073. Epub 2014 May 2.
7
Quantifying inter-individual anatomical variability in the subcortex using 7 T structural MRI.利用 7T 结构 MRI 量化皮质下亚区的个体间解剖结构变异性。
Neuroimage. 2014 Jul 1;94:40-46. doi: 10.1016/j.neuroimage.2014.03.032. Epub 2014 Mar 17.
8
Functional connectomics from resting-state fMRI.静息态 fMRI 的功能连接组学
Trends Cogn Sci. 2013 Dec;17(12):666-82. doi: 10.1016/j.tics.2013.09.016. Epub 2013 Nov 12.
9
Altered white matter connectivity and network organization in polymicrogyria revealed by individual gyral topology-based analysis.个体脑回拓扑分析揭示巨脑回畸形中的白质连接和网络组织改变。
Neuroimage. 2014 Feb 1;86:182-93. doi: 10.1016/j.neuroimage.2013.08.011. Epub 2013 Aug 15.
10
Alterations of mean diffusivity in brain white matter and deep gray matter in Parkinson's disease.帕金森病患者脑白质和深部灰质的平均弥散度改变。
Neurosci Lett. 2013 Aug 29;550:64-8. doi: 10.1016/j.neulet.2013.06.050. Epub 2013 Jul 3.