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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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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 |
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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 |
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