Cargando…

Control of cortical oscillatory frequency by a closed-loop system

BACKGROUND: We present a closed-loop system able to control the frequency of slow oscillations (SO) spontaneously generated by the cortical network in vitro. The frequency of SO can be controlled by direct current (DC) electric fields within a certain range. Here we set out to design a system that w...

Descripción completa

Detalles Bibliográficos
Autores principales: D’Andola, Mattia, Giulioni, Massimiliano, Dante, Vittorio, Del Giudice, Paolo, Sanchez-Vives, Maria V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327406/
https://www.ncbi.nlm.nih.gov/pubmed/30626450
http://dx.doi.org/10.1186/s12984-018-0470-z
_version_ 1783386458998964224
author D’Andola, Mattia
Giulioni, Massimiliano
Dante, Vittorio
Del Giudice, Paolo
Sanchez-Vives, Maria V.
author_facet D’Andola, Mattia
Giulioni, Massimiliano
Dante, Vittorio
Del Giudice, Paolo
Sanchez-Vives, Maria V.
author_sort D’Andola, Mattia
collection PubMed
description BACKGROUND: We present a closed-loop system able to control the frequency of slow oscillations (SO) spontaneously generated by the cortical network in vitro. The frequency of SO can be controlled by direct current (DC) electric fields within a certain range. Here we set out to design a system that would be able to autonomously bring the emergent oscillatory activity to a target frequency determined by the experimenter. METHODS: The cortical activity was recorded through an electrode and was analyzed online. Once a target frequency was set, the frequency of the slow oscillation was steered through the injection of DC of variable intensity that generated electric fields of proportional amplitudes in the brain slice. To achieve such closed-loop control, we designed a custom programmable stimulator ensuring low noise and accurate tuning over low current levels. For data recording and analysis, we relied on commercial acquisition and software tools. RESULTS: The result is a flexible and reliable system that ensures control over SO frequency in vitro. The system guarantees artifact removal, minimal gaps in data acquisition and robustness in spite of slice heterogeneity. CONCLUSIONS: Our tool opens new possibilities for the investigation of dynamics of cortical slow oscillations—an activity pattern that is associated with cognitive processes such as memory consolidation, and that is altered in several neurological conditions—and also for potential applications of this technology.
format Online
Article
Text
id pubmed-6327406
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63274062019-01-15 Control of cortical oscillatory frequency by a closed-loop system D’Andola, Mattia Giulioni, Massimiliano Dante, Vittorio Del Giudice, Paolo Sanchez-Vives, Maria V. J Neuroeng Rehabil Research BACKGROUND: We present a closed-loop system able to control the frequency of slow oscillations (SO) spontaneously generated by the cortical network in vitro. The frequency of SO can be controlled by direct current (DC) electric fields within a certain range. Here we set out to design a system that would be able to autonomously bring the emergent oscillatory activity to a target frequency determined by the experimenter. METHODS: The cortical activity was recorded through an electrode and was analyzed online. Once a target frequency was set, the frequency of the slow oscillation was steered through the injection of DC of variable intensity that generated electric fields of proportional amplitudes in the brain slice. To achieve such closed-loop control, we designed a custom programmable stimulator ensuring low noise and accurate tuning over low current levels. For data recording and analysis, we relied on commercial acquisition and software tools. RESULTS: The result is a flexible and reliable system that ensures control over SO frequency in vitro. The system guarantees artifact removal, minimal gaps in data acquisition and robustness in spite of slice heterogeneity. CONCLUSIONS: Our tool opens new possibilities for the investigation of dynamics of cortical slow oscillations—an activity pattern that is associated with cognitive processes such as memory consolidation, and that is altered in several neurological conditions—and also for potential applications of this technology. BioMed Central 2019-01-09 /pmc/articles/PMC6327406/ /pubmed/30626450 http://dx.doi.org/10.1186/s12984-018-0470-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
D’Andola, Mattia
Giulioni, Massimiliano
Dante, Vittorio
Del Giudice, Paolo
Sanchez-Vives, Maria V.
Control of cortical oscillatory frequency by a closed-loop system
title Control of cortical oscillatory frequency by a closed-loop system
title_full Control of cortical oscillatory frequency by a closed-loop system
title_fullStr Control of cortical oscillatory frequency by a closed-loop system
title_full_unstemmed Control of cortical oscillatory frequency by a closed-loop system
title_short Control of cortical oscillatory frequency by a closed-loop system
title_sort control of cortical oscillatory frequency by a closed-loop system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327406/
https://www.ncbi.nlm.nih.gov/pubmed/30626450
http://dx.doi.org/10.1186/s12984-018-0470-z
work_keys_str_mv AT dandolamattia controlofcorticaloscillatoryfrequencybyaclosedloopsystem
AT giulionimassimiliano controlofcorticaloscillatoryfrequencybyaclosedloopsystem
AT dantevittorio controlofcorticaloscillatoryfrequencybyaclosedloopsystem
AT delgiudicepaolo controlofcorticaloscillatoryfrequencybyaclosedloopsystem
AT sanchezvivesmariav controlofcorticaloscillatoryfrequencybyaclosedloopsystem