Cargando…

Investigating the impact of electrical stimulation temporal distribution on cortical network responses

BACKGROUND: The brain is continuously targeted by a wealth of stimuli with complex spatio-temporal patterns and has presumably evolved in order to cope with those inputs in an optimal way. Previous studies investigating the response capabilities of either single neurons or intact sensory systems to...

Descripción completa

Detalles Bibliográficos
Autores principales: Scarsi, Francesca, Tessadori, Jacopo, Chiappalone, Michela, Pasquale, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469148/
https://www.ncbi.nlm.nih.gov/pubmed/28606117
http://dx.doi.org/10.1186/s12868-017-0366-z
_version_ 1783243533535150080
author Scarsi, Francesca
Tessadori, Jacopo
Chiappalone, Michela
Pasquale, Valentina
author_facet Scarsi, Francesca
Tessadori, Jacopo
Chiappalone, Michela
Pasquale, Valentina
author_sort Scarsi, Francesca
collection PubMed
description BACKGROUND: The brain is continuously targeted by a wealth of stimuli with complex spatio-temporal patterns and has presumably evolved in order to cope with those inputs in an optimal way. Previous studies investigating the response capabilities of either single neurons or intact sensory systems to external stimulation demonstrated that stimuli temporal distribution is an important, if often overlooked, parameter. RESULTS: In this study we investigated how cortical networks plated over micro-electrode arrays respond to different stimulation sequences in which inter-pulse intervals followed a 1/f (β) distribution, for different values of β ranging from 0 to ∞. Cross-correlation analysis revealed that network activity preferentially synchronizes with external input sequences featuring β closer to 1 and, in any case, never for regular (i.e. fixed-frequency) stimulation sequences. We then tested the interplay between different average stimulation frequencies (based on the intrinsic firing/bursting frequency of the network) for two selected values of β, i.e. 1 (scale free) and ∞ (regular). In general, we observed no preference for stimulation frequencies matching the endogenous rhythms of the network. Moreover, we found that in case of regular stimulation the capability of the network to follow the stimulation sequence was negatively correlated to the absolute stimulation frequency, whereas using scale-free stimulation cross-correlation between input and output sequences was independent from average input frequency. CONCLUSIONS: Our results point out that the preference for a scale-free distribution of the stimuli is observed also at network level and should be taken into account in designing more efficient protocols for neuromodulation purposes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12868-017-0366-z) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5469148
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-54691482017-06-14 Investigating the impact of electrical stimulation temporal distribution on cortical network responses Scarsi, Francesca Tessadori, Jacopo Chiappalone, Michela Pasquale, Valentina BMC Neurosci Research Article BACKGROUND: The brain is continuously targeted by a wealth of stimuli with complex spatio-temporal patterns and has presumably evolved in order to cope with those inputs in an optimal way. Previous studies investigating the response capabilities of either single neurons or intact sensory systems to external stimulation demonstrated that stimuli temporal distribution is an important, if often overlooked, parameter. RESULTS: In this study we investigated how cortical networks plated over micro-electrode arrays respond to different stimulation sequences in which inter-pulse intervals followed a 1/f (β) distribution, for different values of β ranging from 0 to ∞. Cross-correlation analysis revealed that network activity preferentially synchronizes with external input sequences featuring β closer to 1 and, in any case, never for regular (i.e. fixed-frequency) stimulation sequences. We then tested the interplay between different average stimulation frequencies (based on the intrinsic firing/bursting frequency of the network) for two selected values of β, i.e. 1 (scale free) and ∞ (regular). In general, we observed no preference for stimulation frequencies matching the endogenous rhythms of the network. Moreover, we found that in case of regular stimulation the capability of the network to follow the stimulation sequence was negatively correlated to the absolute stimulation frequency, whereas using scale-free stimulation cross-correlation between input and output sequences was independent from average input frequency. CONCLUSIONS: Our results point out that the preference for a scale-free distribution of the stimuli is observed also at network level and should be taken into account in designing more efficient protocols for neuromodulation purposes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12868-017-0366-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-06-12 /pmc/articles/PMC5469148/ /pubmed/28606117 http://dx.doi.org/10.1186/s12868-017-0366-z Text en © The Author(s) 2017 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 Article
Scarsi, Francesca
Tessadori, Jacopo
Chiappalone, Michela
Pasquale, Valentina
Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title_full Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title_fullStr Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title_full_unstemmed Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title_short Investigating the impact of electrical stimulation temporal distribution on cortical network responses
title_sort investigating the impact of electrical stimulation temporal distribution on cortical network responses
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5469148/
https://www.ncbi.nlm.nih.gov/pubmed/28606117
http://dx.doi.org/10.1186/s12868-017-0366-z
work_keys_str_mv AT scarsifrancesca investigatingtheimpactofelectricalstimulationtemporaldistributiononcorticalnetworkresponses
AT tessadorijacopo investigatingtheimpactofelectricalstimulationtemporaldistributiononcorticalnetworkresponses
AT chiappalonemichela investigatingtheimpactofelectricalstimulationtemporaldistributiononcorticalnetworkresponses
AT pasqualevalentina investigatingtheimpactofelectricalstimulationtemporaldistributiononcorticalnetworkresponses