open access publication

Data Paper, 2024

The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset

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

Contributors

Vinding M.C. 0000-0002-7954-2886 (Corresponding author) [1] [2] Eriksson A. 0000-0003-3094-5497 [2] [3] Comarovschii I. 0000-0002-5879-2034 [2] Waldthaler J. [2] [4] Manting C.L. 0000-0001-9339-3402 [2] [5] [6] Oostenveld R. 0000-0002-1974-1293 [2] [7] Ingvar M. [2] Svenningsson P. 0000-0001-6727-3802 [2] Lundqvist D. 0000-0003-1593-2559 (Corresponding author) [2]

Affiliations

  1. [1] Copenhagen University Hospital
  2. [NORA names: Capital Region of Denmark; Hospital; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Karolinska Institutet
  4. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  5. [3] Uppsala University
  6. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  7. [4] University Hospital Marburg
  8. [NORA names: Germany; Europe, EU; OECD];
  9. [5] Massachusetts Institute of Technology
  10. [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.

Funders

  • Stiftelsen för Strategisk Forskning
  • Knut and Alice Wallenberg

Data Provider: Elsevier