ArticleNeuroImage2020
The comparative performance of DBS artefact rejection methods for MEG recordings.
Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 39 citations in OpenAlex.
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- Phantom Quantification of Magnetoencephalography Source Imaging Distortion Caused by Deep Brain Stimulation.Brain sciences · 2026Article
- Spatial signature of low-frequency network changes accounts for pallidal stimulation outcome in cervical dystonia.EBioMedicine · 2026Article
- Clinical utility of evoked potentials for programming subthalamic deep brain stimulation in Parkinsons disease.NPJ Parkinson's disease · 2026Review
- Subthalamic Nucleus Deep Brain Stimulation in the Beta Frequency Range Boosts Cortical Beta Oscillations and Slows Down Movement.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Modulation of DBS-induced cortical responses and movement by the directionality and magnitude of current administered.NPJ Parkinson's disease · 2024Article
- Data-driven MEG analysis to extract fMRI resting-state networks.Human brain mapping · 2024Article
- Spatiotemporal signal space separation for regions of interest: Application for extracting neuromagnetic responses evoked by deep brain stimulation.Human brain mapping · 2024Article
- Robust Removal of Slow Artifactual Dynamics Induced by Deep Brain Stimulation in Local Field Potential Recordings Using SVD-Based Adaptive Filtering.Bioengineering (Basel, Switzerland) · 2023Article
- DBS-evoked cortical responses index optimal contact orientations and motor outcomes in Parkinson's disease.NPJ Parkinson's disease · 2023Article
- Combining magnetoencephalography with telemetric streaming of intracranial recordings and deep brain stimulation-A feasibility study.Imaging neuroscience (Cambridge, Mass.) · 2023Article
- Extended Signal-Space Separation Method for Improved Interference Suppression in MEG.IEEE transactions on bio-medical engineering · 2021Article
- Gratifying Gizmos for Research and Clinical MEG.Frontiers in neurology · 2021Review
- Investigation of neurophysiologic and functional connectivity changes following glioma resection using magnetoencephalography.Neuro-oncology advancesArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Deep brain stimulation (DBS) can be a very efficient treatment option for movement disorders and psychiatric diseases. To better understand DBS mechanisms, brain activity can be recorded using magnetoencephalography (MEG) with the stimulator turned on. However, DBS produces large artefacts compromising MEG data quality due to both the applied current and the movement of wires connecting the stimulator with the electrode. To filter out these artefacts, several methods to suppress the DBS artefact have been proposed in the literature. A comparative study evaluating each method's effectiveness, however, is missing so far. In this study, we evaluate the performance of four artefact rejection methods on MEG data from phantom recordings with DBS acquired with an Elekta Neuromag and a CTF system: (i) Hampel-filter, (ii) spectral signal space projection (S3P), (iii) independent component analysis with mutual information (ICA-MI), and (iv) temporal signal space separation (tSSS). In the sensor space, the largest increase in signal-to-noise (SNR) ratio was achieved by ICA-MI, while the best correspondence in terms of source activations was obtained by tSSS. LCMV beamforming alone was not sufficient to suppress the DBS-induced artefacts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.