Literature DB >> 35471540

Computing Extracellular Electric Potentials from Neuronal Simulations.

Torbjørn V Ness1, Geir Halnes1, Solveig Næss2, Klas H Pettersen3, Gaute T Einevoll1,4.   

Abstract

Measurements of electric potentials from neural activity have played a key role in neuroscience for almost a century, and simulations of neural activity is an important tool for understanding such measurements. Volume conductor (VC) theory is used to compute extracellular electric potentials stemming from neural activity, such as extracellular spikes, multi-unit activity (MUA), local field potentials (LFP), electrocorticography (ECoG), and electroencephalography (EEG). Further, VC theory is also used inversely to reconstruct neuronal current source distributions from recorded potentials through current source density methods. In this book chapter, we show how VC theory can be derived from a detailed electrodiffusive theory for ion concentration dynamics in the extracellular medium, and we show what assumptions must be introduced to get the VC theory on the simplified form that is commonly used by neuroscientists. Furthermore, we provide examples of how the theory is applied to compute spikes, LFP signals, and EEG signals generated by neurons and neuronal populations.
© 2022. Springer Nature Switzerland AG.

Entities:  

Keywords:  ECoG; EEG; Electrodiffusion; Extracellular potentials; LFP; MUA; Neuronal simulation

Mesh:

Year:  2022        PMID: 35471540     DOI: 10.1007/978-3-030-89439-9_8

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   3.650


  74 in total

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Authors:  A C G Almeida; H Z Texeira; M A Duarte; A F C Infantosi
Journal:  IEEE Trans Biomed Eng       Date:  2004-03       Impact factor: 4.538

Review 2.  The origin of extracellular fields and currents--EEG, ECoG, LFP and spikes.

Authors:  György Buzsáki; Costas A Anastassiou; Christof Koch
Journal:  Nat Rev Neurosci       Date:  2012-05-18       Impact factor: 34.870

Review 3.  Where Does EEG Come From and What Does It Mean?

Authors:  Michael X Cohen
Journal:  Trends Neurosci       Date:  2017-03-15       Impact factor: 13.837

4.  How does the presence of neural probes affect extracellular potentials?

Authors:  Alessio Paolo Buccino; Miroslav Kuchta; Karoline Horgmo Jæger; Torbjørn Vefferstad Ness; Pierre Berthet; Kent-Andre Mardal; Gert Cauwenberghs; Aslak Tveito
Journal:  J Neural Eng       Date:  2019-01-31       Impact factor: 5.379

5.  Localising and classifying neurons from high density MEA recordings.

Authors:  Isabel Delgado Ruz; Simon R Schultz
Journal:  J Neurosci Methods       Date:  2014-06-19       Impact factor: 2.390

6.  Deconvolution of Voltage Sensor Time Series and Electro-diffusion Modeling Reveal the Role of Spine Geometry in Controlling Synaptic Strength.

Authors:  Jerome Cartailler; Taekyung Kwon; Rafael Yuste; David Holcman
Journal:  Neuron       Date:  2018-02-08       Impact factor: 17.173

7.  Systematic Integration of Structural and Functional Data into Multi-scale Models of Mouse Primary Visual Cortex.

Authors:  Yazan N Billeh; Binghuang Cai; Sergey L Gratiy; Kael Dai; Ramakrishnan Iyer; Nathan W Gouwens; Reza Abbasi-Asl; Xiaoxuan Jia; Joshua H Siegle; Shawn R Olsen; Christof Koch; Stefan Mihalas; Anton Arkhipov
Journal:  Neuron       Date:  2020-03-05       Impact factor: 17.173

8.  Cortical Electrocorticogram (ECoG) Is a Local Signal.

Authors:  Agrita Dubey; Supratim Ray
Journal:  J Neurosci       Date:  2019-03-26       Impact factor: 6.167

9.  Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings.

Authors:  Dorottya Cserpán; Domokos Meszéna; Lucia Wittner; Kinga Tóth; István Ulbert; Zoltán Somogyvári; Daniel K Wójcik
Journal:  Elife       Date:  2017-11-17       Impact factor: 8.140

10.  MEArec: A Fast and Customizable Testbench Simulator for Ground-truth Extracellular Spiking Activity.

Authors:  Alessio Paolo Buccino; Gaute Tomas Einevoll
Journal:  Neuroinformatics       Date:  2021-01
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  1 in total

1.  Brain signal predictions from multi-scale networks using a linearized framework.

Authors:  Espen Hagen; Steinn H Magnusson; Torbjørn V Ness; Geir Halnes; Pooja N Babu; Charl Linssen; Abigail Morrison; Gaute T Einevoll
Journal:  PLoS Comput Biol       Date:  2022-08-12       Impact factor: 4.779

  1 in total

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