Newcomb–Benford’s Law in Neuromuscular Transmission: Validation in Hyperkalemic Conditions

Adriano Silva (), Sergio Floquet and Ricardo Lima
Additional contact information
Adriano Silva: Centro de Formação em Ciências Agroflorestais, Universidade Federal do Sul da Bahia, Itabuna 45613-204, BA, Brazil
Sergio Floquet: Colegiado de Engenharia Civil, Universidade Federal do Vale do São Francisco, Juazeiro 48902-300, BA, Brazil
Ricardo Lima: Departamento de Fisiologia e Farmacologia, Faculdade de Medicina, Universidade Federal do Ceará, Fortaleza 60430-270, CE, Brazil

Stats, 2023, vol. 6, issue 4, 1-19

Abstract: Recently, we demonstrated the validity of the anomalous numbers law, known as Newcomb–Benford’s law, in mammalian neuromuscular transmission, considering different extracellular calcium. The present work continues to examine how changes in extracellular physiological artificial solution can modulate the first digit law in the context of spontaneous acetylcholine release at the neuromuscular junction. Using intracellular measurements, we investigated if the intervals of miniature potentials collected at the neuromuscular junction obey the law in a hyperkalemic environment. When bathed in standard Ringer’s solution, the experiments provided 22,582 intervals extracted from 14 recordings. On the other hand, 690,385 intervals were obtained from 12 experiments in a modified Ringer’s solution containing a high potassium concentration. The analysis showed that the intervals, harvested from recordings at high potassium, satisfactorily obeyed Newcomb–Benford’s law. Furthermore, our data allowed us to uncover a conformity fluctuation as a function of the number of intervals of the miniature potentials. Finally, we discuss the biophysical implications of the present findings.

Keywords: electrophysiology; neuromuscular junction; Newcomb–Benford’s law; time series; potassium (search for similar items in EconPapers)
JEL-codes: C1 C10 C11 C14 C15 C16 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2571-905X/6/4/66/pdf (application/pdf)
https://www.mdpi.com/2571-905X/6/4/66/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jstats:v:6:y:2023:i:4:p:66-1071:d:1256252

Access Statistics for this article

Stats is currently edited by Mrs. Minnie Li

More articles in Stats from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().