open access publication

Article, 2024

The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset

Scientific Data, ISSN 2052-4463, Volume 11, 1, Page 150, 10.1038/s41597-024-02987-w

Contributors

Vinding, Mikkel Christoffer 0000-0002-7954-2886 (Corresponding author) [1] [2] Eriksson, Allison 0000-0003-3094-5497 [2] [3] Comarovschii, Igori 0000-0002-5879-2034 [2] Waldthaler, Josefine A 0000-0002-6505-9922 [2] [4] Manting, Cassia Low [2] [5] [6] Oostenveld, Robert 0000-0002-1974-1293 [2] [7] Ingvar, Martin 0000-0002-9041-5714 [2] Svenningsson, Per Jonas Levi 0000-0001-6727-3802 [2] Lundqvist, Daniel 0000-0003-1593-2559 (Corresponding author) [2]

Affiliations

  1. [1] Hvidovre Hospital
    2. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Karolinska Institutet
    3. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  3. [3] Uppsala University
    4. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  4. [4] Universitätsklinikum Gießen und Marburg
    5. [NORA names: Germany; Europe, EU; OECD];
  5. [5] Massachusetts Institute of Technology
    6. [NORA names: United States; America, North; OECD];

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.

Keywords

MEG, MEG data, MRI, PD patients, Parkinson, Parkinson's disease, Parkinson's disease dataset, Swedish, active movement task, activity, analysis, brain, brain activity, brain function, cells, changes, clinical scores, clinical symptoms, consequences, contribution, control, data, dataset, diagnosis, disease, disease dataset, disease states, disease-related changes, disturbances, dopamine, dopamine replacement therapy, dopaminergic cells, features, function, functional features, healthy controls, investigation, loss, loss of dopamine, movement, movement task, nature, network, network disturbances, passive movement, patients, records, regular dose, relationship, replacement therapy, research, science contributions, scores, signature of Parkinson's disease, source, source analysis, state, symptoms, task, therapy, treatment, whole head

Funders

  • Knut and Alice Wallenberg Foundation
  • Swedish Foundation for Strategic Research

Data Provider: Digital Science

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