ArticlePloS one2014
Beamformer source analysis and connectivity on concurrent EEG and MEG data during voluntary movements.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 50 citations in OpenAlex.
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- Electrophysiological approaches to informing therapeutic interventions with deep brain stimulation.NPJ Parkinson's disease · 2025Review
- Association of brain functional connectivity with neurodevelopmental outcomes in healthy full-term newborns.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024Article
- Connectivity Analysis in EEG Data: A Tutorial Review of the State of the Art and Emerging Trends.Bioengineering (Basel, Switzerland) · 2023Review
- Functional brain network properties of healthy full-term newborns quantified by scalp and source-reconstructed EEG.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023Article
- Dynamic networks differentiate the language ability of children with cochlear implants.Frontiers in neuroscience · 2023Article
- Electroencephalogram in low-risk term newborns predicts neurodevelopmental metrics at age two years.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2022Article
- Frequency-specific network activity predicts bradykinesia severity in Parkinson's disease.NeuroImage. Clinical · 2021Article
- Cross-frequency coupling between gamma oscillations and deep brain stimulation frequency in Parkinson's disease.Brain : a journal of neurology · 2020Article
- Seizure localization using EEG analytical signals.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2020Article
- Detectability of cerebellar activity with magnetoencephalography and electroencephalography.Human brain mapping · 2020Article
- Motor effects of deep brain stimulation correlate with increased functional connectivity in Parkinson's disease: An MEG study.NeuroImage. Clinical · 2020Article
- Multimodal alterations of directed connectivity profiles in patients with attention-deficit/hyperactivity disorders.Scientific reports · 2019Article
- Article
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- Measuring network disruption in neurodegenerative diseases: New approaches using signal analysis.Journal of neurology, neurosurgery, and psychiatry · 2019Review
- Dysfunction of attention switching networks in amyotrophic lateral sclerosis.NeuroImage. Clinical · 2019Article
- Primary Sensorimotor Cortex Drives the Common Cortical Network for Gamma Synchronization in Voluntary Hand Movements.Frontiers in human neuroscience · 2018Article
- The differentiated networks related to essential tremor onset and its amplitude modulation after alcohol intake.Experimental neurology · 2017Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) and magnetoencephalography (MEG) are the two modalities for measuring neuronal dynamics at a millisecond temporal resolution. Different source analysis methods, to locate the dipoles in the brain from which these dynamics originate, have been readily applied to both modalities alone. However, direct comparisons and possible advantages of combining both modalities have rarely been assessed during voluntary movements using coherent source analysis. In the present study, the cortical and sub-cortical network of coherent sources at the finger tapping task frequency (2-4 Hz) and the modes of interaction within this network were analysed in 15 healthy subjects using a beamformer approach called the dynamic imaging of coherent sources (DICS) with subsequent source signal reconstruction and renormalized partial directed coherence analysis (RPDC). MEG and EEG data were recorded simultaneously allowing the comparison of each of the modalities separately to that of the combined approach. We found the identified network of coherent sources for the finger tapping task as described in earlier studies when using only the MEG or combined MEG+EEG whereas the EEG data alone failed to detect single sub-cortical sources. The signal-to-noise ratio (SNR) level of the coherent rhythmic activity at the tapping frequency in MEG and combined MEG+EEG data was significantly higher than EEG alone. The functional connectivity analysis revealed that the combined approach had more active connections compared to either of the modalities during the finger tapping (FT) task. These results indicate that MEG is superior in the detection of deep coherent sources and that the SNR seems to be more vital than the sensitivity to theoretical dipole orientation and the volume conduction effect in the case of EEG.
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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.