Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

Rubbert Christian; Mathys Christian; Jockwitz Christiane; Hartmann Christian J.; Eickhoff Simon B.; Hoffstaedter Felix; Caspers Svenja; Eickhoff Claudia R.; Sigl Benjamin; Teichert Nikolas A.; Suedmeyer Martin; Turowski Bernd; Schnitzler Alfons; Caspers Julian

首页> 外文期刊>British Journal of Radiology >Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

【24h】

Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

机译：机器学习识别帕金森病的疾病患者基于网络功能连接之间的休息状态

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Objective: Evaluation of a data-driven, model-based classification approach to discriminate idiopathic Parkinson's disease (PD) patients from healthy controls (HC) based on between-network connectivity in whole-brain resting-state functional MRI (rs-fMRI).

机译：目的：评估数据驱动，基于模型的分类方法，以基于全脑休息状态函数MRI（RS-FMRI）的网络连接基于网络连接性来自健康对照（HC）的特发球菌帕金森病（PD）患者。

著录项

来源
《British Journal of Radiology》 |2019年第1101期|共9页
作者
Rubbert Christian; Mathys Christian; Jockwitz Christiane; Hartmann Christian J.; Eickhoff Simon B.; Hoffstaedter Felix; Caspers Svenja; Eickhoff Claudia R.; Sigl Benjamin; Teichert Nikolas A.; Suedmeyer Martin; Turowski Bernd; Schnitzler Alfons; Caspers Julian;
展开▼
作者单位

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

Inst Neurosci &

Med INM 1 Res Ctr Julich Germany;

Heinrich Heine Univ Med Fac Inst Clin Neurosci &

Med Psychol Dusseldorf Germany;

Heinrich Heine Univ Med Fac Inst Syst Neurosci Dusseldorf Germany;

Heinrich Heine Univ Med Fac Inst Syst Neurosci Dusseldorf Germany;

Inst Neurosci &

Med INM 1 Res Ctr Julich Germany;

Heinrich Heine Univ Med Fac Inst Clin Neurosci &

Med Psychol Dusseldorf Germany;

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

Ernst von Bergmann Klinikum Dept Neurol Potsdam Germany;

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

Heinrich Heine Univ Med Fac Inst Clin Neurosci &

Med Psychol Dusseldorf Germany;

Univ Dusseldorf Med Fac Dept Diagnost &

Intervent Radiol D-40225 Dusseldorf Germany;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词
入库时间 2022-08-20 17:00:30

相似文献

外文文献
中文文献
专利

1. Global Functional Network Connectivity Disturbances in Parkinson’s Disease with Mild Cognitive Impairment by Resting-State Functional MRI [J] . Xin-xin SHUAI, Xiang-chuang KONG, Yan ZOU, 当代医学科学(英文) . 2020,第006期
2. Alteration of functional connectivity in patients with Alzheimer’s disease revealed by resting-state functional magnetic resonance imaging [J] . Jie Zhao, Yu-Hang Du, Xue-Tong Ding, 中国神经再生研究（英文版） . 2020,第002期
3. Relationship between episodic memory and resting-state brain functional connectivity network in patients with Alzheimer’s disease and mild cognition impairment [J] . 吴钦娟中国医学文摘：内科学分册（英文版） . 2013,第003期
4. Amplitude of Low-frequency Oscillations in Parkinson's Disease: A 2-year Longitudinal Resting-state Functional Magnetic Resonance Imaging Study [J] . Xiao-Fei Hu, Jiu-Quan Zhang, Xiao-Mei Jiang, 中华医学杂志（英文版） . 2015,第005期
5. Alterations in the limbic/paralimbic cortices of Parkinson's disease patients with hyposmia under resting-state functional MRI by regional homogeneity and functional connectivity analysis [J] . Su, Meilan, Wang, Song, Fang, Weidong, Parkinsonism & related disorders . 2015,第7期

机译：静息功能磁共振成像下帕金森病伴低渗的患者边缘/旁侧皮质的改变，通过区域均一性和功能连通性分析
6. Resting-state fMRI reveals increased functional connectivity in the cerebellum but decreased functional connectivity of the caudate nucleus in Parkinson's disease [J] . Kaut Oliver, Mielacher Clemens, Hurlemann Rene, Neurological Research: An Interdisciplinary Quarterly Journal . 2020,第1期

机译：休息状态FMRI揭示了小脑中的功能性连接，但在帕金森病中尾状核的功能连通性降低
7. Aberrant resting-state functional connectivity in cognitively unimpaired patients with Parkinson's disease and freezing of gait [J] . A. Martin-Bastida, M. Delgado-Alvarado, I. Navalpotro-Gómez, Magma: Magnetic resonance materials in physics, biology, and medicine . 2020,第1期

机译：异常休息状态在认知未受帕金森病患者的患者中的异常休息状态连通性和步态冻结
8. Review of brain functional connectivity emotional analysis in Parkinson's disease patients [C] . M. Mohammad Fauzi, A. H. Abdullah, Vikneswaran Vijean, International Conference on Mathematics, Engineering and Industrial Applications . 2018

机译：帕金森病患者脑功能连通性情绪分析综述
9. Novel Image-Derived Component Discovery Method for Graph-Based Functional Connectivity Features from Resting-State Brain Networks [D] . Moradi, Mahdi. 2020

机译：休息状态大脑网络的基于图形功能连接功能的新型图像派生组件发现方法
10. Machine-learning identifies Parkinsons disease patients based on resting-state between-network functional connectivity [O] . Christian Rubbert, Christian Mathys, Christiane Jockwitz, 2019

机译：机器学习识别帕金森病的患者基于网络功能连通性之间的休息状态
11. Alterations in Degree Centrality and Functional Connectivity in Parkinson’s Disease Patients With Freezing of Gait: A Resting-State Functional Magnetic Resonance Imaging Study [O] . MiaoRan Guo, Yan Ren, HongMei Yu, 2020

机译：帕金森病患患者冻结步态患者的程度中心和功能连通性的改变：休息状态功能磁共振成像研究
12. Induced Accelerated Aging in Induced Pluripotent Stem Cell Lines from Patients with Parkinson's Disease [R] . Schuele, B 2014

机译：诱导帕金森病患者诱导多能干细胞系的加速老化

Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

摘要

著录项

相似文献

相关主题

期刊订阅