The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Modeling Extracellular Field Potentials and the Frequency-Filtering Properties of Extracellular Space
Open accessAbstract
Extracellular local field potentials are usually modeled as arising from a set of current sources embedded in a homogeneous extracellular medium. Although this formalism can successfully model several properties of extracellular local field potentials, it does not account for their frequency-dependent attenuation with distance, a property essential to correctly model extracellular spikes. Here we derive expressions for the extracellular potential that include this frequency-dependent attenuation. We first show that, if the extracellular conductivity is nonhomogeneous, there is induction of nonhomogeneous charge densities that may result in a low-pass filter. We next derive a simplified model consisting of a punctual (or spherical) current source with spherically symmetric conductivity/permittivity gradients around the source. We analyze the effect of different radial profiles of conductivity and permittivity on the frequency-filtering behavior of this model. We show that this simple model generally displays low-pass filtering behavior, in which fast electrical events (such as Na(+)-mediated action potentials) attenuate very steeply with distance, whereas slower (K(+)-mediated) events propagate over larger distances in extracellular space, in qualitative agreement with experimental observations. This simple model can be used to obtain frequency-dependent extracellular field potentials without taking into account explicitly the complex folding of extracellular space.
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
Destexhe, A., Contreras, D., & Steriade, M. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-11-04595.1999 · Cited by 573
Cited by
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Revealing neuronal function through microelectrode array recordings
Obien, M. E. J., Deligkaris, K., Bullmann, T., Bakkum, D. J., & Frey, U. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00423 · Cited by 705
The organizing principles of neuronal avalanches: cell assemblies in the cortex?
Plenz, D., & Thiagarajan, T. C. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.01.005 · Cited by 375
Ephaptic coupling to endogenous electric field activity: Why bother?
Anastassiou, C. A., & Koch, C. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.002 · Cited by 171
Veerakumar, A., Tiruvadi, V., Howell, B., Waters, A. C., Crowell, A. L., Voytek, B., Riva-Posse, P., Denison, L., Rajendra, J. K., Edwards, J. A., et al. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00875.2018 · Cited by 89
Metadata
- Authors
- Bédard, C., Kröger, H., & Destexhe, A.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2004-03
- Volume
- 86
- Issue
- 3
- Pages
- 1829-1842
- ISSN
- 0006-3495 (ISSN-L)
- OpenAlex
- W2126568432
- Cited by
- 264
- References
- 1
- FWCI
- 2.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Modeling Extracellular Field Potentials and the Frequency-Filtering Properties of Extracellular Space. https://app.cochat.ai/papers/10.1016/s0006-3495(04)74250-2
- The paper
- Bédard, C., Kröger, H., & Destexhe, A. (2004). Modeling Extracellular Field Potentials and the Frequency-Filtering Properties of Extracellular Space. Biophysical Journal. https://doi.org/10.1016/s0006-3495(04)74250-2
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.