Changes in emotion processing in early Parkinson’s disease reflect disease progression.

Eriksson, A.; Tsitsi, Panagiota; Vinding, Mikkel C.; Ingvar, Martin; Svenningsson, Per

doi:10.1037/neu0000794

Cited by 4 publications

(1 citation statement)

References 34 publications

(78 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Six of the participants did not complete the last passive movement task. After the resting state and movement tasks, the participants would continue with either an antisaccade task 26 or an auditory perception task ( unpublished ) in the MEG scanner or perform an emotional recognition task outside the MEG scanner 27 . The data from these tasks are not part of NatMEG-PD, and hence these tasks are not described in further detail here.…”

Section: Methodsmentioning

confidence: 99%

The Swedish National Facility for Magnetoencephalography Parkinson’s disease dataset

Vinding,

Eriksson,

Comarovschii

et al. 2024

Sci Data

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: Methodsmentioning

confidence: 99%