The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Beta-Range EEG-EMG Coherence With Isometric Compensation for Increasing Modulated Low-Level Forces
Abstract
Corticomuscular synchronization has been shown to occur in beta (15–30 Hz) and gamma range (30–45 Hz) during isometric compensation of static and dynamic (periodically modulated) low-level forces, respectively. However, it is still unknown to what extent these synchronization processes in beta and gamma range are modified with increasing modulated force. We addressed this question by investigating the corticomuscular coherence (CMC) between the electroencephalogram (EEG) and electromyogram (EMG) from the first dorsal interosseus muscle (FDI) as well as the cortical and muscular spectral power during a visuomotor task where different levels of a dynamic (modulated) force were used. Seven healthy right-handed female subjects compensated dynamic forces at 8, 16, and 24% of the maximal voluntary contraction (MVC) isometrically with their right index finger. Under the three conditions investigated, we found a broad-band CMC comprising both beta and gamma range and peaking at ∼22 Hz within the beta band. This broad-band coherence increased linearly with higher force level. A separate analysis of the gamma range CMC did not show significant modulation of the CMC by the force levels. EEG and EMG spectral power did not show any significant difference among the three force conditions. Our results favor the view that the function of beta range CMC is not specific for low-level static forces only. The sensorimotor system may resort to stronger and also broader beta-range CMC to generate stable corticospinal interaction during increased force level, as well as when compensating for dynamic modulated forces. This finding re-enforces the importance of the beta-range EEG-EMG coherence in sensorimotor integration.
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
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Halliday, D. M., Rosenberg, J. R., Amjad, A. M., Breeze, P., Conway, B. A., & Farmer, S. F. (1995) · Progress in Biophysics and Molecular Biology · doi:10.1016/s0079-6107(96)00009-0 · Cited by 1,107
Murthy, V. N., & Fetz, E. E. (1996) · Journal of Neurophysiology · doi:10.1152/jn.1996.76.6.3949 · Cited by 544 · cited 1×
“…maintained motor contraction the cortical motor areas and the muscles are synchronized in beta-range as shown in monkeys (Baker et al. 1997, 1999; Murthy and Fetz 1992, 1996) and humans (Baker 2007; Brown 2000; Conway et al. 1995; Halliday et al. 1998; Kilner et al. 2000; Kristeva et al. 2007;…”
Background
Cited by
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953
Driving Oscillatory Activity in the Human Cortex Enhances Motor Performance
Joundi, R. A., Jenkinson, N., Brittain, J.-S., Aziz, T. Z., & Brown, P. (2012) · Current Biology · doi:10.1016/j.cub.2012.01.024 · Cited by 365
Bönstrup, M., Schulz, R., Feldheim, J., Hummel, F. C., & Gerloff, C. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.052 · Cited by 56
Metadata
- Authors
- Chakarov, V., Naranjo, J. R., Schulte-Mönting, J., Omlor, W., Huethe, F., & Kristeva, R.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2009-08
- Volume
- 102
- Issue
- 2
- Pages
- 1115-1120
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2052834884
- Cited by
- 166
- References
- 3
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
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: Beta-Range EEG-EMG Coherence With Isometric Compensation for Increasing Modulated Low-Level Forces. https://app.cochat.ai/papers/10.1152/jn.91095.2008
- The paper
- Chakarov, V., Naranjo, J. R., Schulte-Mönting, J., Omlor, W., Huethe, F., & Kristeva, R. (2009). Beta-Range EEG-EMG Coherence With Isometric Compensation for Increasing Modulated Low-Level Forces. Journal of Neurophysiology. https://doi.org/10.1152/jn.91095.2008
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.