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dc.contributor.author
De Luise, Romina
dc.contributor.author
Baravalle, Román
dc.contributor.author
Rosso, Osvaldo Anibal
dc.contributor.author
Montani, Fernando Fabian
dc.date.available
2024-10-24T15:49:27Z
dc.date.issued
2021-01
dc.identifier.citation
De Luise, Romina; Baravalle, Román; Rosso, Osvaldo Anibal; Montani, Fernando Fabian; Network configurations of pain: an efficiency characterization of information transmission; Springer; European Physical Journal B - Condensed Matter; 94; 1; 1-2021; 34, 1-13
dc.identifier.issn
1434-6028
dc.identifier.uri
http://hdl.handle.net/11336/246396
dc.description.abstract
Recent studies have shown that gamma-band oscillations are directly related to pain intensity. Pain can be exacerbated or diminished via deactivation or activation of inhibitory interneurons in the dorsal horn. We consider a biologically plausible network model with different proportion of inhibitory neurons to emulate gamma elicited activity during pain processes. We perform an analysis using graph theory to gain further insight in the functional state of the circuitry underlying nociceptive process, considering all the possible gamma elicited configurations of pain when changing the number of inhibitory neurons. The probability distribution of the signal associated with each node or neuron is estimated through the Bandt and Pompe approach. We evaluate the Jensen–Shannon distance between all the possible pairs of nodes/neurons, characterizing the different network configurations by calculating the closeness centrality. Thus, by building the graph properties through the node strength distributions and using an information theoretical approach, we characterize the dynamics of the network configurations of pain. This allows us to identify the nonlinear dynamical structure underlying the nociceptive process. Importantly, our findings show that a network configuration with a 20 % of inhibitory neurons boosts information transmission of the complex network circuitry associated with the pain processing.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
GAMMA OSCILLATIONS
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EXCITATION-INHBITION BALANCE
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IZHIKEVICH MODEL
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Network configurations of pain: an efficiency characterization of information transmission
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-10-23T17:34:36Z
dc.journal.volume
94
dc.journal.number
1
dc.journal.pagination
34, 1-13
dc.journal.pais
Alemania
dc.description.fil
Fil: De Luise, Romina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.description.fil
Fil: Baravalle, Román. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.description.fil
Fil: Rosso, Osvaldo Anibal. Universidade Federal de Alagoas; Brasil
dc.description.fil
Fil: Montani, Fernando Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física La Plata. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física La Plata; Argentina
dc.journal.title
European Physical Journal B - Condensed Matter
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/10.1140/epjb/s10051-021-00046-6
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1140/epjb/s10051-021-00046-6
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