Sharp edge artifacts and spurious coupling in EEG frequency comodulation measures
Abstract
Recent electroencephalogram (EEG), electrocorticogram (ECoG), and local field potential (LFP) observations suggest that distinct frequency bands interact. Numerous measures have been proposed to analyze such interactions, including the amplitude envelope modulation of high frequency activity by the phase or signal of low frequency activity. In this short communication, we describe how abrupt increases or decreases in voltage data may produce spurious coupling in these measures and suggest techniques to detect these effects.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371 · see citing works
Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873 · see citing works
Electroencephalography—Basic principles, clinical applications and related fields
(1982) · Journal of the Autonomic Nervous System · doi:10.1016/0165-1838(82)90067-4 · Cited by 3,449 · see citing works
High Gamma Power Is Phase-Locked to Theta Oscillations in Human Neocortex
Canolty, R. T., Edwards, E., Dalal, S. S., Soltani, M., Nagarajan, S. S., Kirsch, H. E., Berger, M. S., Barbaro, N. M., & Knight, R. T. (2006) · Science · doi:10.1126/science.1128115 · Cited by 2,650 · see citing works
Gamma (40-100 Hz) oscillation in the hippocampus of the behaving rat
Bragin, A., Jando, G., Nadasdy, Z., Hetke, J., Wise, K., & Buzsaki, G. (1995) · The Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00047.1995 · Cited by 1,527 · see citing works
Detection of n : m Phase Locking from Noisy Data: Application to Magnetoencephalography
Tass, P. A., Rosenblum, M., Weule, J., Kurths, J., PIKOVSKY, A. S., Volkmann, J., Schnitzler, A., & Freund, H. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.3291 · Cited by 1,378 · see citing works
Lakatos, P., Shah, A. S., Knuth, K. H., Ulbert, I., Karmos, G., & Schroeder, C. E. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00263.2005 · Cited by 1,241 · see citing works
Nonlinear multivariate analysis of neurophysiological signals
Pereda, E., Quiroga, R. Q., & Bhattacharya, J. (2005) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2005.10.003 · Cited by 1,066 · see citing works
Cross-frequency coupling between neuronal oscillations
Jensen, O., & Colgin, L. L. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.003 · Cited by 991 · see citing works
Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony
Quyen, M. L. V., Foucher, J., Lachaux, J.-P., Rodríguez, E., Antoine Lutz, A., Martinerie, J. M., & Varela, F. J. (2001) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(01)00372-7 · Cited by 885 · see citing works
Cellular basis of EEG slow rhythms: a study of dynamic corticothalamic relationships
Contreras, D., & Steriade, M. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-01-00604.1995 · Cited by 700 · see citing works
Phase Synchrony among Neuronal Oscillations in the Human Cortex
Palva, J. M., Palva, S., & Kaila, K. (2005) · Journal of Neuroscience · doi:10.1523/jneurosci.4250-04.2005 · Cited by 663 · see citing works
Electroencephalography: Basic Principles, Clinical Applications and Related Fields
Sheehy, N. (1984) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.47.6.654-a · Cited by 514 · see citing works
Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches?
Bruns, A. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.03.002 · Cited by 490 · see citing works
Hippocampal network patterns of activity in the mouse
Buzsáki, G., Buhl, D. L., Harris, K. D., Csicsvari, J., Czéh, B., & Morozov, A. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00669-3 · Cited by 486 · see citing works
Mormann, F., Fell, J., Axmacher, N., Weber, B., Lehnertz, K., Elger, C. E., & Fernández, G. (2005) · Hippocampus · doi:10.1002/hipo.20117 · Cited by 403 · see citing works
Bruns, A., & Eckhorn, R. (2003) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2003.07.001 · Cited by 225 · see citing works
Bispectrum Analysis of Electroencephalogram Signals during Waking and Sleeping
Barnett, T. P., Johnson, L. C., Naitoh, P., et al. (1971) · Science · doi:10.1126/science.172.3981.401 · Cited by 140 · see citing works
Muscarinic blockade weakens interaction of gamma with theta rhythms in mouse hippocampus
Hentschke, H., Perkins, M. G., Pearce, R. A., & Banks, M. I. (2007) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2007.05779.x · Cited by 66 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lisman, J. E., & Jensen, O. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.007 · Cited by 1,609 · see citing works
Low-frequency neuronal oscillations as instruments of sensory selection
Schroeder, C. E., & Lakatos, P. (2009) · Trends in Neurosciences · doi:10.1016/j.tins.2008.09.012 · Cited by 1,528 · see citing works
The Temporal Structures and Functional Significance of Scale-free Brain Activity
He, B. J., Zempel, J. M., Snyder, A. Z., & Raichle, M. E. (2010) · Neuron · doi:10.1016/j.neuron.2010.04.020 · Cited by 990 · see citing works
Staresina, B. P., Bergmann, T. O., Bonnefond, M., van der Meij, R., Jensen, O., Deuker, L., Elger, C. E., Axmacher, N., & Fell, J. (2015) · Nature Neuroscience · doi:10.1038/nn.4119 · Cited by 831 · see citing works
Methodological considerations for studying neural oscillations
Donoghue, T., Schaworonkow, N., & Voytek, B. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15361 · Cited by 309 · see citing works
The Functional Role of Dreaming in Emotional Processes
Scarpelli, S., Bartolacci, C., D'Atri, A., Gorgoni, M., & De Gennaro, L. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00459 · Cited by 190 · see citing works
Florin, E., & Baillet, S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.01.054 · Cited by 184 · see citing works
Radwan, B., Dvorak, D., & Fenton, A. A. (2016) · Neurobiology of Disease · doi:10.1016/j.nbd.2016.01.003 · Cited by 63 · see citing works
- Authors
- Kramer, M. A., Tort, A. B. L., & Kopell, N. J.
- Affiliations
- Boston University (US)
- Corresponding author
- Kramer, Mark A.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2008-05
- Volume
- 170
- Issue
- 2
- Pages
- 352-357
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2145138741
- Cited by
- 195
- References
- 19
- Citations by year
- 2026: 7 · 2025: 4 · 2024: 5 · 2023: 7 · 2022: 11 · 2021: 11 · 2020: 19 · 2019: 20 · 2018: 13 · 2017: 21 · 2016: 17 · 2015: 13 · 2014: 11 · 2013: 10 · 2012: 7
- FWCI
- 3.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Neuroscience Methods (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Burroughs Wellcome Fund
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- EEG, electrocorticography, local field potentials, artifact detection
- MeSH terms
- Alpha Rhythm, Computer Simulation, Data Interpretation, Statistical, Electroencephalography, Electrophysiology, Evoked Potentials, Software, Theta Rhythm, Artifacts
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