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Dorsal and median raphe neuronal firing dynamics characterized by nonlinear measures.
Pascovich, Claudia; Serantes, Diego; Rodriguez, Alejo; Mateos, Diego; González, Joaquín; Gallo, Diego; Rivas, Mayda; Devera, Andrea; Lagos, Patricia; Rubido, Nicolás; Torterolo, Pablo.
Afiliación
  • Pascovich C; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Serantes D; Consciousness and Cognition Laboratory, Department of Psychology, King's College, University of Cambridge, Cambridge, United Kingdom.
  • Rodriguez A; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Mateos D; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • González J; Achucarro Basque Center for Neuroscience, Leioa (Bizkaia), Spain.
  • Gallo D; Instituto de Matemática Aplicada del Litoral (IMAL-CONICET-UNL), Santa Fé, Argentina.
  • Rivas M; Universidad Autónoma de Entre Ríos (UADER), Oro Verde, Entre Ríos, Argentina.
  • Devera A; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Lagos P; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Rubido N; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
  • Torterolo P; Laboratory of Sleep Neurobiology, Department of Physiology, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
PLoS Comput Biol ; 20(5): e1012111, 2024 May.
Article en En | MEDLINE | ID: mdl-38805554
ABSTRACT
The dorsal (DRN) and median (MRN) raphe are important nuclei involved in similar functions, including mood and sleep, but playing distinct roles. These nuclei have a different composition of neuronal types and set of neuronal connections, which among other factors, determine their neuronal dynamics. Most works characterize the neuronal dynamics using classic measures, such as using the average spiking frequency (FR), the coefficient of variation (CV), and action potential duration (APD). In the current study, to refine the characterization of neuronal firing profiles, we examined the neurons within the raphe nuclei. Through the utilization of nonlinear measures, our objective was to discern the redundancy and complementarity of these measures, particularly in comparison with classic methods. To do this, we analyzed the neuronal basal firing profile in both nuclei of urethane-anesthetized rats using the Shannon entropy (Bins Entropy) of the inter-spike intervals, permutation entropy of ordinal patterns (OP Entropy), and Permutation Lempel-Ziv Complexity (PLZC). Firstly, we found that classic (i.e., FR, CV, and APD) and nonlinear measures fail to distinguish between the dynamics of DRN and MRN neurons, except for the OP Entropy. We also found strong relationships between measures, including the CV with FR, CV with Bins entropy, and FR with PLZC, which imply redundant information. However, APD and OP Entropy have either a weak or no relationship with the rest of the measures tested, suggesting that they provide complementary information to the characterization of the neuronal firing profiles. Secondly, we studied how these measures are affected by the oscillatory properties of the firing patterns, including rhythmicity, bursting patterns, and clock-like behavior. We found that all measures are sensitive to rhythmicity, except for the OP Entropy. Overall, our work highlights OP Entropy as a powerful and useful quantity for the characterization of neuronal discharge patterns.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Dinámicas no Lineales / Modelos Neurológicos / Neuronas Límite: Animals Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Uruguay Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Potenciales de Acción / Dinámicas no Lineales / Modelos Neurológicos / Neuronas Límite: Animals Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Uruguay Pais de publicación: Estados Unidos