Evidence map›Paper›PMID 25393030›Full record

ArticlePLoS computational biology2014

Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG.

Klas H Pettersen, Henrik Lindén, Tom Tetzlaff, Gaute T Einevoll

Abstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Field potential 1/Journal of neurophysiology · 2019
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  6. Human Sensorimotor Beta Event Characteristics and Aperiodic Signal Are Highly Heritable.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Article
  8. Article
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  10. Computing Extracellular Electric Potentials from Neuronal Simulations.Advances in experimental medicine and biology · 2022
    Article
  11. Article
  12. Article
  13. Single-Cell Membrane Potential Fluctuations Evince Network Scale-Freeness and Quasicriticality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
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  14. Article
  15. Article
  16. Review
  17. h-Type Membrane Current Shapes the Local Field Potential from Populations of Pyramidal Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Klas H PettersenDept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway; Letten Centre and GliaLab, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Centre for Molecular Medicine Norway, University of Oslo, Oslo, Norway.
Henrik LindénDept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway; Department of Neuroscience and Pharmacology, University of Copenhagen, Copenhagen, Denmark; Dept. of Computational Biology, School of Computer Science and Communication, Royal Institute of Technology (KTH), Stockholm, Sweden.
Tom TetzlaffDept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway; Inst. of Neuroscience and Medicine (INM-6), Computational and Systems Neuroscience & Inst. for Advanced Simulation (IAS-6), Theoretical Neuroscience, Jülich Research Centre and JARA, Jülich, Germany.
Gaute T EinevollDept. of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway; Dept. of Physics, University of Oslo, Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Power laws, that is, power spectral densities (PSDs) exhibiting 1/f(α) behavior for large frequencies f, have been observed both in microscopic (neural membrane potentials and currents) and macroscopic (electroencephalography; EEG) recordings. While complex network behavior has been suggested to be at the root of this phenomenon, we here demonstrate a possible origin of such power laws in the biophysical properties of single neurons described by the standard cable equation. Taking advantage of the analytical tractability of the so called ball and stick neuron model, we derive general expressions for the PSD transfer functions for a set of measures of neuronal activity: the soma membrane current, the current-dipole moment (corresponding to the single-neuron EEG contribution), and the soma membrane potential. These PSD transfer functions relate the PSDs of the respective measurements to the PSDs of the noisy input currents. With homogeneously distributed input currents across the neuronal membrane we find that all PSD transfer functions express asymptotic high-frequency 1/f(α) power laws with power-law exponents analytically identified as α∞(I) = 1/2 for the soma membrane current, α∞(p) = 3/2 for the current-dipole moment, and α∞(V) = 2 for the soma membrane potential. Comparison with available data suggests that the apparent power laws observed in the high-frequency end of the PSD spectra may stem from uncorrelated current sources which are homogeneously distributed across the neural membranes and themselves exhibit pink (1/f) noise distributions. While the PSD noise spectra at low frequencies may be dominated by synaptic noise, our findings suggest that the high-frequency power laws may originate in noise from intrinsic ion channels. The significance of this finding goes beyond neuroscience as it demonstrates how 1/f(α) power laws with a wide range of values for the power-law exponent α may arise from a simple, linear partial differential equation.

Indexed as

ElectroencephalographyModels, NeurologicalComputational BiologyComputer SimulationMembrane PotentialsNeurons

Identifiers

PMID25393030
PMCPMC4230751

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.