The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset

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...

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Main Authors: Mikkel C. Vinding, Allison Eriksson, Igori Comarovschii, Josefine Waldthaler, Cassia Low Manting, Robert Oostenveld, Martin Ingvar, Per Svenningsson, Daniel Lundqvist
Format: Article
Language:English
Published: Nature Portfolio 2024-01-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-024-02987-w
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author Mikkel C. Vinding
Allison Eriksson
Igori Comarovschii
Josefine Waldthaler
Cassia Low Manting
Robert Oostenveld
Martin Ingvar
Per Svenningsson
Daniel Lundqvist
author_facet Mikkel C. Vinding
Allison Eriksson
Igori Comarovschii
Josefine Waldthaler
Cassia Low Manting
Robert Oostenveld
Martin Ingvar
Per Svenningsson
Daniel Lundqvist
author_sort Mikkel C. Vinding
collection DOAJ
description 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.
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spelling doaj.art-500fb557df4d48b7a3637484912d3a732024-03-05T17:38:47ZengNature PortfolioScientific Data2052-44632024-01-0111111110.1038/s41597-024-02987-wThe Swedish National Facility for Magnetoencephalography Parkinson’s disease datasetMikkel C. Vinding0Allison Eriksson1Igori Comarovschii2Josefine Waldthaler3Cassia Low Manting4Robert Oostenveld5Martin Ingvar6Per Svenningsson7Daniel Lundqvist8NatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetSection of Neurology, Department of Clinical Neuroscience, Karolinska InstitutetNatMEG, Department of Clinical Neuroscience, Karolinska InstitutetAbstract 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.https://doi.org/10.1038/s41597-024-02987-w
spellingShingle Mikkel C. Vinding
Allison Eriksson
Igori Comarovschii
Josefine Waldthaler
Cassia Low Manting
Robert Oostenveld
Martin Ingvar
Per Svenningsson
Daniel Lundqvist
The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
Scientific Data
title The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
title_full The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
title_fullStr The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
title_full_unstemmed The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
title_short The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset
title_sort swedish national facility for magnetoencephalography parkinson s disease dataset
url https://doi.org/10.1038/s41597-024-02987-w
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