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瑞典国立脑磁图帕金森病数据集。

The Swedish National Facility for Magnetoencephalography Parkinson's disease dataset.

机构信息

NatMEG, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital - Amager and Hvidovre, Copenhagen, Denmark.

出版信息

Sci Data. 2024 Jan 31;11(1):150. doi: 10.1038/s41597-024-02987-w.

Abstract

Parkinson's disease (PD) is characterised by a loss of dopamine and dopaminergic cells. The consequences hereof are widespread network disturbances in brain function. It is an ongoing topic of investigation how the disease-related changes in brain function manifest in PD relate to clinical symptoms. We present The Swedish National Facility for Magnetoencephalography Parkinson's Disease Dataset (NatMEG-PD) as an Open Science contribution to identify the functional neural signatures of Parkinson's disease and contribute to diagnosis and treatment. The dataset contains whole-head magnetoencephalographic (MEG) recordings from 66 well-characterised PD patients on their regular dose of dopamine replacement therapy and 68 age- and sex-matched healthy controls. NatMEG-PD contains three-minute eyes-closed resting-state MEG, MEG during an active movement task, and MEG during passive movements. The data includes anonymised MRI for source analysis and clinical scores. MEG data is rich in nature and can be used to explore numerous functional features. By sharing these data, we hope other researchers will contribute to advancing our understanding of the relationship between brain activity and disease state or symptoms.

摘要

帕金森病(PD)的特征是多巴胺和多巴胺能细胞的丧失。其后果是大脑功能的广泛网络紊乱。目前正在研究的一个课题是,与临床症状相关的大脑功能的疾病相关变化与帕金森病有何关系。我们提出了瑞典国家脑磁图帕金森病数据集(NatMEG-PD),作为开放科学的贡献,以确定帕金森病的功能神经特征,并有助于诊断和治疗。该数据集包含 66 名经过充分特征描述的 PD 患者在常规多巴胺替代治疗下以及 68 名年龄和性别匹配的健康对照者的全头脑磁图(MEG)记录。NatMEG-PD 包含三分钟闭眼静息状态 MEG、主动运动任务期间的 MEG 和被动运动期间的 MEG。该数据包括用于源分析和临床评分的匿名 MRI。MEG 数据具有丰富的特性,可以用于探索许多功能特征。通过共享这些数据,我们希望其他研究人员能够为我们对大脑活动与疾病状态或症状之间的关系的理解做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb95/10830455/e08bdf531faa/41597_2024_2987_Fig1_HTML.jpg

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