Evidence map›Paper›PMID 27445781›Full record

ArticleFrontiers in computational neuroscience2016

Computational Modeling of Single Neuron Extracellular Electric Potentials and Network Local Field Potentials using LFPsim.

Harilal Parasuram, Bipin Nair, Egidio D'Angelo, Michael Hines, Giovanni Naldi, Shyam Diwakar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

34 citing papers in PubMed, 70 citations in OpenAlex.

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  14. Gamma Oscillations in the Basolateral Amygdala: Localization, Microcircuitry, and Behavioral Correlates.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
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  15. Article
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  18. Review
  19. Article
  20. Reduced order models of myelinated axonal compartments.Journal of computational neuroscience · 2019
    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

6 authors at 4 institutions in 3 countries.

Harilal ParasuramAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, India.
Bipin NairAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, India.
Egidio D'AngeloDepartment of Brain and Behavioral Sciences, University of PaviaPavia, Italy; Brain Connectivity Center, C. Mondino National Neurological InstitutePavia, Italy.
Michael HinesDepartment of Neuroscience, Yale School of Medicine New Haven, CT, USA.
Giovanni NaldiDepartment of Mathematics, University of Milan Milan, Italy.
Shyam DiwakarAmrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, India.
Amrita Vishwa Vidyapeetham · INUniversity of Milan · ITUniversity of Pavia · ITYale University · US

Funding

COMPUTER METHODS FOR PHYSIOLOGICAL PROBLEMSR01NS011613 · NINDS · YALE UNIVERSITY · PI MICHAEL L HINES, Robert A. McDougal · 1985 to 2026
$10.4M
NINDS NIH HHS R01 NS011613
6 · The paper itself

Abstract

Local Field Potentials (LFPs) are population signals generated by complex spatiotemporal interaction of current sources and dipoles. Mathematical computations of LFPs allow the study of circuit functions and dysfunctions via simulations. This paper introduces LFPsim, a NEURON-based tool for computing population LFP activity and single neuron extracellular potentials. LFPsim was developed to be used on existing cable compartmental neuron and network models. Point source, line source, and RC based filter approximations can be used to compute extracellular activity. As a demonstration of efficient implementation, we showcase LFPs from mathematical models of electrotonically compact cerebellum granule neurons and morphologically complex neurons of the neocortical column. LFPsim reproduced neocortical LFP at 8, 32, and 56 Hz via current injection, in vitro post-synaptic N2a, N2b waves and in vivo T-C waves in cerebellum granular layer. LFPsim also includes a simulation of multi-electrode array of LFPs in network populations to aid computational inference between biophysical activity in neural networks and corresponding multi-unit activity resulting in extracellular and evoked LFP signals.

Indexed as

cerebellumcircuitcomputational neuroscienceLocal Field Potentialneocortexneuronsimulation

Identifiers

PMID27445781
PMCPMC4923190
OpenAlexW2422269554

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.