Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings
Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations; however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here, we address this prob...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2017-11-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/29384 |
| _version_ | 1811227777136852992 |
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| author | Dorottya Cserpán Domokos Meszéna Lucia Wittner Kinga Tóth István Ulbert Zoltán Somogyvári Daniel K Wójcik |
| author_facet | Dorottya Cserpán Domokos Meszéna Lucia Wittner Kinga Tóth István Ulbert Zoltán Somogyvári Daniel K Wójcik |
| author_sort | Dorottya Cserpán |
| collection | DOAJ |
| description | Revealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations; however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here, we address this problem using extracellularly recorded potentials with arbitrarily distributed electrodes for a neuron of known morphology. We use simulations of models with varying complexity to validate the proposed method and to give recommendations for experimental applications. The method is applied to in vitro data from rat hippocampus. |
| first_indexed | 2024-04-12T09:47:26Z |
| format | Article |
| id | doaj.art-3ffa03bc16f74adda40810433b995e22 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T09:47:26Z |
| publishDate | 2017-11-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-3ffa03bc16f74adda40810433b995e222022-12-22T03:37:54ZengeLife Sciences Publications LtdeLife2050-084X2017-11-01610.7554/eLife.29384Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordingsDorottya Cserpán0https://orcid.org/0000-0002-7538-1931Domokos Meszéna1https://orcid.org/0000-0003-4042-2542Lucia Wittner2https://orcid.org/0000-0001-6800-0953Kinga Tóth3https://orcid.org/0000-0002-8751-8499István Ulbert4https://orcid.org/0000-0001-9941-9159Zoltán Somogyvári5https://orcid.org/0000-0002-4385-3025Daniel K Wójcik6https://orcid.org/0000-0003-0812-9872Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, HungaryInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, HungaryInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; National Institute of Clinical Neurosciences, Budapest, HungaryInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, HungaryInstitute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest, Hungary; National Institute of Clinical Neurosciences, Budapest, HungaryWigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary; National Institute of Clinical Neurosciences, Budapest, Hungary; Neuromicrosystems Ltd., Budapest, HungaryDepartment of Neurophysiology, Nencki Institute of Experimental Biology of Polish Academy of Sciences, Warsaw, PolandRevealing the current source distribution along the neuronal membrane is a key step on the way to understanding neural computations; however, the experimental and theoretical tools to achieve sufficient spatiotemporal resolution for the estimation remain to be established. Here, we address this problem using extracellularly recorded potentials with arbitrarily distributed electrodes for a neuron of known morphology. We use simulations of models with varying complexity to validate the proposed method and to give recommendations for experimental applications. The method is applied to in vitro data from rat hippocampus.https://elifesciences.org/articles/29384local field potentialLFPcurrent source densityCSDkernel methodsinverse problem |
| spellingShingle | Dorottya Cserpán Domokos Meszéna Lucia Wittner Kinga Tóth István Ulbert Zoltán Somogyvári Daniel K Wójcik Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings eLife local field potential LFP current source density CSD kernel methods inverse problem |
| title | Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| title_full | Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| title_fullStr | Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| title_full_unstemmed | Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| title_short | Revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| title_sort | revealing the distribution of transmembrane currents along the dendritic tree of a neuron from extracellular recordings |
| topic | local field potential LFP current source density CSD kernel methods inverse problem |
| url | https://elifesciences.org/articles/29384 |
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