Coherent neural representation of hand speed in humans revealed by MEG imaging
Open accessAbstract
The spiking activity of single neurons in the primate motor cortex is correlated with various limb movement parameters, including velocity. Recent findings obtained using local field potentials suggest that hand speed may also be encoded in the summed activity of neuronal populations. At this macroscopic level, the motor cortex has also been shown to display synchronized rhythmic activity modulated by motor behavior. Yet whether and how neural oscillations might be related to limb speed control is still poorly understood. Here, we applied magnetoencephalography (MEG) source imaging to the ongoing brain activity in subjects performing a continuous visuomotor (VM) task. We used coherence and phase synchronization to investigate the coupling between the estimated activity throughout the brain and the simultaneously recorded instantaneous hand speed. We found significant phase locking between slow (2- to 5-Hz) oscillatory activity in the contralateral primary motor cortex and time-varying hand speed. In addition, we report long-range task-related coupling between primary motor cortex and multiple brain regions in the same frequency band. The detected large-scale VM network spans several cortical and subcortical areas, including structures of the frontoparietal circuit and the cerebello-thalamo-cortical pathway. These findings suggest a role for slow coherent oscillations in mediating neural representations of hand kinematics in humans and provide further support for the putative role of long-range neural synchronization in large-scale VM integration. Our findings are discussed in the context of corticomotor communication, distributed motor encoding, and possible implications for brain-machine interfaces.
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For far-field measurements like EEG/MEG, a pair of current monopoles can be represented as a current dipole.
“For far-field measurements like EEG/MEG, such a pair of current monopoles can be represented as a current dipole.”
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Nichols, T. E., & Holmes, A. P. (2002) · Human Brain Mapping · doi:10.1002/hbm.1058 · Cited by 6,256 · see citing works
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Carmena, J. M., Lebedev, M. A., Crist, R. E., O'Doherty, J. E., Santucci, D. M., Dimitrov, D. F., Patil, P. G., Henriquez, C. S., & Nicolelis, M. A. L. (2003) · PLoS Biology · doi:10.1371/journal.pbio.0000042 · Cited by 1,761 · see citing works
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Friston, K., Mattout, J., & Kilner, J. (2011) · Biological Cybernetics · doi:10.1007/s00422-011-0424-z · Cited by 665 · see citing works
Hillebrand, A., Barnes, G. R., Bosboom, J. L., Berendse, H. W., & Stam, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.005 · Cited by 416 · see citing works
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He, B., Sohrabpour, A., Brown, E., & Liu, Z. (2018) · Annual Review of Biomedical Engineering · doi:10.1146/annurev-bioeng-062117-120853 · Cited by 297 · see citing works
Yang, J.-W., Hanganu-Opatz, I. L., Sun, J.-J., & Luhmann, H. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5646-08.2009 · Cited by 276 · see citing works
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He, B., & Liu, Z. (2008) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2008.2008233 · Cited by 171 · see citing works
Roux, F., Wibral, M., Singer, W., Aru, J., & Uhlhaas, P. J. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.5778-12.2013 · Cited by 169 · see citing works
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Janiesch, P. C., Krüger, H.-S., Pöschel, B., & Hanganu-Opatz, I. L. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2644-11.2011 · Cited by 49 · see citing works
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- Authors
- Jerbi, K., Lachaux, J.-P., N′Diaye, K., Pantazis, D., Leahy, R. M., Garnero, L., & Baillet, S.
- Affiliations
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Cognitive Neuroscience and Brain Imaging Laboratory, Centre National de la Recherche Scientifique, UPR-640 Lena, MEG Center, Université Pierre et Marie Curie (Paris 6), Hôpital de la Salpêtrière, 47 Boulevard de l'Hôpital, 75013 Paris, France;
- University of Southern California (US)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2007-05
- Volume
- 104
- Issue
- 18
- Pages
- 7676-7681
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC1863498
- OpenAlex
- W2088766828
- Cited by
- 289
- References
- 3
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 8 · 2023: 13 · 2022: 10 · 2021: 18 · 2020: 9 · 2019: 16 · 2018: 15 · 2017: 19 · 2016: 14 · 2015: 16 · 2014: 23 · 2013: 17 · 2012: 15
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Boehringer Ingelheim Fonds
- National Institute of Biomedical Imaging and Bioengineering (EB002010, R01EB002010)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- hand velocity, primary motor cortex, neural oscillations, phase synchronization, visuomotor task, hand kinematics, cerebello-thalamo-cortical pathway, brain-computer interface, slow oscillations
- MeSH terms
- Brain, Hand, Humans, Male, Movement, Neurons, Time Factors, Magnetoencephalography
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