Trial reportPloS one2012
State-related changes in MEG functional connectivity reveal the task-positive sensorimotor network.
Trial report in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Human Auditory-Motor Networks Show Frequency-Specific Phase-Based Coupling in Resting-State MEG.Human brain mapping · 2025Article
- Brain functional connectivity under teleoperation latency: a fNIRS study.Frontiers in neuroscience · 2024Article
- Connectivity in Large-Scale Resting-State Brain Networks Is Related to Motor Learning: A High-Density EEG Study.Brain sciences · 2022Article
- Comparison of Functional Connectivity Estimated from Concatenated Task-State Data from Block-Design Paradigm with That of Continuous Task.Computational and mathematical methods in medicine · 2017Article
- The temporal stability and variability across frequency bands in neural synchrony between primary and secondary somatosensory areas following somatosensory stimulation.Clinical neurophysiology practice · 2017Article
- The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Beat Keeping in a Sea Lion As Coupled Oscillation: Implications for Comparative Understanding of Human Rhythm.Frontiers in neuroscience · 2016Article
- Functional connectivity changes detected with magnetoencephalography after mild traumatic brain injury.NeuroImage. Clinical · 2015Article
- Modulation of EEG functional connectivity networks in subjects undergoing repetitive transcranial magnetic stimulation.Brain topography · 2014Article
- Alpha band functional connectivity correlates with the performance of brain-machine interfaces to decode real and imagined movements.Frontiers in human neuroscience · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Functional connectivity measures applied to magnetoencephalography (MEG) data have the capacity to elucidate neuronal networks. However, the task-related modulation of these measures is essential to identifying the functional relevance of the identified network. In this study, we provide evidence for the efficacy of measuring "state-related" (i.e., task vs. rest) changes in MEG functional connectivity for revealing a sensorimotor network. We investigate changes in functional connectivity, measured as cortico-cortical coherence (CCC), between rest blocks and the performance of a visually directed motor task in a healthy cohort. Task-positive changes in CCC were interpreted in the context of any concomitant modulations in spectral power. Task-related increases in whole-head CCC relative to the resting state were identified between areas established as part of the sensorimotor network as well as frontal eye fields and prefrontal cortices, predominantly in the beta and gamma frequency bands. This study provides evidence for the use of MEG to identify task-specific functionally connected sensorimotor networks in a non-invasive, patient friendly manner.
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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.