Network configurations of pain: an efficiency characterization of information transmission

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 inhibitor...

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Autores principales: Albornoz De Luise, Romina, Baravalle, Román, Rosso, Osvaldo Aníbal, Montani, Fernando Fabián
Formato: Articulo
Lenguaje:Inglés
Publicado: 2021
Materias:
Física
Pain processing
Network configuration
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/146261
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-146261
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Física
Pain processing
Network configuration
spellingShingle Física
Pain processing
Network configuration
Albornoz De Luise, Romina
Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
Network configurations of pain: an efficiency characterization of information transmission
topic_facet Física
Pain processing
Network configuration
description 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.
format Articulo
Articulo
author Albornoz De Luise, Romina
Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_facet Albornoz De Luise, Romina
Baravalle, Román
Rosso, Osvaldo Aníbal
Montani, Fernando Fabián
author_sort Albornoz De Luise, Romina
title Network configurations of pain: an efficiency characterization of information transmission
title_short Network configurations of pain: an efficiency characterization of information transmission
title_full Network configurations of pain: an efficiency characterization of information transmission
title_fullStr Network configurations of pain: an efficiency characterization of information transmission
title_full_unstemmed Network configurations of pain: an efficiency characterization of information transmission
title_sort network configurations of pain: an efficiency characterization of information transmission
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/146261
work_keys_str_mv AT albornozdeluiseromina networkconfigurationsofpainanefficiencycharacterizationofinformationtransmission
AT baravalleroman networkconfigurationsofpainanefficiencycharacterizationofinformationtransmission
AT rossoosvaldoanibal networkconfigurationsofpainanefficiencycharacterizationofinformationtransmission
AT montanifernandofabian networkconfigurationsofpainanefficiencycharacterizationofinformationtransmission
bdutipo_str Repositorios
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