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Exploring the electrophysiology of Parkinson’s disease with magnetoencephalography and deep brain recordings

Authors: Rassoulou, Fayed; Steina, Alexandra; Hartmann, Christian Johannes; Vesper, Jan; Butz, Markus; Schnitzler, Alfons; Hirschmann, Jan;

Exploring the electrophysiology of Parkinson’s disease with magnetoencephalography and deep brain recordings

Abstract

AbstractAberrant information processing in the basal ganglia and connected cortical areas are key to many neurological movement disorders such as Parkinson’s disease. Investigating the electrophysiology of this system is difficult in humans because non-invasive methods, such as electroencephalography or magnetoencephalography, have limited sensitivity to deep brain areas. Recordings from electrodes implanted for therapeutic deep brain stimulation, in contrast, provide clear deep brain signals but are not suited for studying cortical activity. Therefore, we combine magnetoencephalography and local field potential recordings from deep brain stimulation electrodes in individuals with Parkinson’s disease. Here, we make these data available, inviting a broader scientific community to explore the dynamics of neural activity in the subthalamic nucleus and its functional connectivity to cortex. The dataset encompasses resting-state recordings, plus two motor tasks: static forearm extension and self-paced repetitive fist clenching. Most patients were recorded both in the medicated and the unmedicated state. Along with the raw data, we provide metadata on channels, events and scripts for pre-processing to help interested researchers get started.

Keywords

Data Descriptor, Subthalamic Nucleus, Science, Deep Brain Stimulation, 616, Q, 610, Humans, Magnetoencephalography, Parkinson Disease

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid