The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Human Cortical Muscle Coherence Is Directly Related to Specific Motor Parameters
Open accessAbstract
Cortical oscillations have been the target of many recent investigations, because it has been proposed that they could function to solve the “binding” problem. In the motor cortex, oscillatory activity has been reported at a variety of frequencies between ∼4 and ∼60 Hz. Previous research has shown that 15–30 Hz oscillatory activity in the primary motor cortex is coherent or phase locked to activity in contralateral hand and forearm muscles during isometric contractions. However, the function of this oscillatory activity remains unclear. Is it simply an epiphenomenon or is it related to specific motor parameters? In this study, we investigated task-dependent modulation in coherence between motor cortex and hand muscles during precision grip tasks. Twelve right-handed subjects used index finger and thumb to grip two levers that were under robotic control. Each lever was fitted with a sensitive force gauge. Subjects received visual feedback of lever force levels and were instructed to keep them within target boxes throughout each trial. Surface EMGs were recorded from four hand and forearm muscles, and magnetoencephalography (MEG) was recorded using a 306 channel neuromagnetometer. All subjects showed significant levels of coherence (0.086–0.599) between MEG and muscle in the 15–30 Hz range. Coherence was significantly smaller when the task was performed under an isometric condition (levers fixed) compared with a compliant condition in which subjects moved the levers against a spring-like load. Furthermore, there was a positive, significant relationship between the level of coherence and the degree of lever compliance. These results argue in favor of coherence between cortex and muscle being related to specific parameters of hand motor function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
THE BERGER RHYTHM: POTENTIAL CHANGES FROM THE OCCIPITAL LOBES IN MAN
ADRIAN, E. D., & MATTHEWS, B. H. C. (1934) · Brain · doi:10.1093/brain/57.4.355 · Cited by 1,396
Human theta oscillations exhibit task dependence during virtual maze navigation
Kahana, M. J., Sekuler, R., Caplan, J. B., Kirschen, M., & Madsen, J. R. (1999) · Nature · doi:10.1038/21645 · Cited by 649
Murthy, V. N., & Fetz, E. E. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.6.3949 · Cited by 544 · cited 2×
“In monkey motor cortex, oscillatory 15–30 Hz activity has been observed in single cells and local field potentials (Murthy and Fetz, 1992, 1996; Baker et al., 1997; Donoghue et al., 1998; Lebedev and Wise, 2000).”
Background
Cited by
A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Abnormal neural oscillations and synchrony in schizophrenia
Uhlhaas, P. J., & Singer, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2774 · Cited by 2,120
Uhlhaas, P. J., Haenschel, C., Nikolic, D., & Singer, W. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn062 · Cited by 629
Neural synchrony and the development of cortical networks
Uhlhaas, P. J., Roux, F., Rodriguez, E., Rotarska-Jagiela, A., & Singer, W. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.12.002 · Cited by 532
Brains swinging in concert: cortical phase synchronization while playing guitar.
Lindenberger, U., Li, S.-C., Gruber, W., & Müller, V. (2009) · BMC Neuroscience · doi:10.1186/1471-2202-10-22 · Cited by 444
Metadata
- Authors
- Kilner, J. M., Baker, S. N., Salenius, S., Hari, R., & Lemon, R. N.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2000-12-01
- Volume
- 20
- Issue
- 23
- Pages
- 8838-8845
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2099424603
- Cited by
- 418
- References
- 3
- FWCI
- 4.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Human Cortical Muscle Coherence Is Directly Related to Specific Motor Parameters. https://app.cochat.ai/papers/10.1523/jneurosci.20-23-08838.2000
- The paper
- Kilner, J. M., Baker, S. N., Salenius, S., Hari, R., & Lemon, R. N. (2000). Human Cortical Muscle Coherence Is Directly Related to Specific Motor Parameters. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.20-23-08838.2000
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.