The Swedish National Facility for Magnetoencephalography Parkinson's disease dataset.
Mikkel C VindingAllison ErikssonIgori ComarovschiiJosefine WaldthalerCassia Low MantingRobert OostenveldMartin IngvarPer SvenningssonDaniel LundqvistPublished in: Scientific data (2024)
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.
Keyphrases
- resting state
- functional connectivity
- replacement therapy
- magnetic resonance imaging
- big data
- metabolic syndrome
- electronic health record
- ejection fraction
- gene expression
- computed tomography
- chronic kidney disease
- physical activity
- cell death
- optical coherence tomography
- smoking cessation
- uric acid
- newly diagnosed
- social media
- deep learning
- blood brain barrier
- genome wide
- drug induced