What we can and what we cannot see with extracellular multielectrodes.
Extracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capab...
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-05-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1008615 |
| _version_ | 1818579030620766208 |
|---|---|
| author | Chaitanya Chintaluri Marta Bejtka Władysław Średniawa Michał Czerwiński Jakub M Dzik Joanna Jędrzejewska-Szmek Kacper Kondrakiewicz Ewa Kublik Daniel K Wójcik |
| author_facet | Chaitanya Chintaluri Marta Bejtka Władysław Średniawa Michał Czerwiński Jakub M Dzik Joanna Jędrzejewska-Szmek Kacper Kondrakiewicz Ewa Kublik Daniel K Wójcik |
| author_sort | Chaitanya Chintaluri |
| collection | DOAJ |
| description | Extracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capabilities for monitoring the brain. Here we show that for any given distribution of electrodes we can establish exactly what information about current sources in the brain can be recovered and what information is strictly unobservable. We demonstrate this in the general setting of previously proposed kernel Current Source Density method and illustrate it with simplified examples as well as using evoked potentials from the barrel cortex obtained with a Neuropixels probe and with compatible model data. We show that with conceptual separation of the estimation space from experimental setup one can recover sources not accessible to standard methods. |
| first_indexed | 2024-12-16T06:55:13Z |
| format | Article |
| id | doaj.art-a1c9d03941e249bbb912b898bdab38c5 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-16T06:55:13Z |
| publishDate | 2021-05-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-a1c9d03941e249bbb912b898bdab38c52022-12-21T22:40:18ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-05-01175e100861510.1371/journal.pcbi.1008615What we can and what we cannot see with extracellular multielectrodes.Chaitanya ChintaluriMarta BejtkaWładysław ŚredniawaMichał CzerwińskiJakub M DzikJoanna Jędrzejewska-SzmekKacper KondrakiewiczEwa KublikDaniel K WójcikExtracellular recording is an accessible technique used in animals and humans to study the brain physiology and pathology. As the number of recording channels and their density grows it is natural to ask how much improvement the additional channels bring in and how we can optimally use the new capabilities for monitoring the brain. Here we show that for any given distribution of electrodes we can establish exactly what information about current sources in the brain can be recovered and what information is strictly unobservable. We demonstrate this in the general setting of previously proposed kernel Current Source Density method and illustrate it with simplified examples as well as using evoked potentials from the barrel cortex obtained with a Neuropixels probe and with compatible model data. We show that with conceptual separation of the estimation space from experimental setup one can recover sources not accessible to standard methods.https://doi.org/10.1371/journal.pcbi.1008615 |
| spellingShingle | Chaitanya Chintaluri Marta Bejtka Władysław Średniawa Michał Czerwiński Jakub M Dzik Joanna Jędrzejewska-Szmek Kacper Kondrakiewicz Ewa Kublik Daniel K Wójcik What we can and what we cannot see with extracellular multielectrodes. PLoS Computational Biology |
| title | What we can and what we cannot see with extracellular multielectrodes. |
| title_full | What we can and what we cannot see with extracellular multielectrodes. |
| title_fullStr | What we can and what we cannot see with extracellular multielectrodes. |
| title_full_unstemmed | What we can and what we cannot see with extracellular multielectrodes. |
| title_short | What we can and what we cannot see with extracellular multielectrodes. |
| title_sort | what we can and what we cannot see with extracellular multielectrodes |
| url | https://doi.org/10.1371/journal.pcbi.1008615 |
| work_keys_str_mv | AT chaitanyachintaluri whatwecanandwhatwecannotseewithextracellularmultielectrodes AT martabejtka whatwecanandwhatwecannotseewithextracellularmultielectrodes AT władysławsredniawa whatwecanandwhatwecannotseewithextracellularmultielectrodes AT michałczerwinski whatwecanandwhatwecannotseewithextracellularmultielectrodes AT jakubmdzik whatwecanandwhatwecannotseewithextracellularmultielectrodes AT joannajedrzejewskaszmek whatwecanandwhatwecannotseewithextracellularmultielectrodes AT kacperkondrakiewicz whatwecanandwhatwecannotseewithextracellularmultielectrodes AT ewakublik whatwecanandwhatwecannotseewithextracellularmultielectrodes AT danielkwojcik whatwecanandwhatwecannotseewithextracellularmultielectrodes |