Detrended fluctuation analysis of compound action potentials re-corded in the cutaneous nerves of diabetic rats

Salvador Quiroz-González, Erika Elizabeth Rodríguez-Torres, Bertha Segura-Alegría, Javier Pereira-Venegas, Rosa Estela Lopez-Gomez and Ismael Jiménez-Estrada

Chaos, Solitons & Fractals, 2016, vol. 83, issue C, 223-233

Abstract: The electrophysiological alterations in nerves due to diabetes are classically studied in relation to their instantaneous frequency, conduction velocity and amplitude. However, analysis of amplitude variability may reflect the occurrence of feedback loop mechanisms that adjust the output as a function of its previous activity could indicate fractal dynamics. We assume that a peripheral neuropathy, such as that evoked by diabetes, the inability to maintain a steady flow of sensory information is reflected as a breakdown of the long range power-law correlation of CAP area fluctuation from cutaneous nerves. To test this, we first explored in normal rats whether fluctuations in the trial-to-trial CAP area showed a self-similar behavior or fractal structure by means of detrended fluctuations analysis (DFA), and Poincare plots. In addition, we determine whether such CAP fluctuations varied by diabetes induction. Results showed that CAP area fluctuation of SU nerves evoked in normal rats present a long term correlation and self-similar organization (fractal behavior) from trial to trial stimulation as evidenced by DFA of CAP areas. However, CAPs recorded in diabetic nerves exhibited significant reductions in area, larger duration and increased area variability and different Poincare plots than control nerves. The Hurst exponent value determined with the DFA method from a series of 2000 CAPs evoked in diabetic SU nerves was smaller than in control nerves. It is proposed that in cutaneous nerves of normal rats variability of the CAP area present a long term correlation and self-similar organization (fractal behavior), and reflect the ability to maintain a steady flow of sensory information through cutaneous nerves. Nevertheless, this is not the case for sural nerves of diabetic rats which is reflected as a breakdown of the long range power-law correlation of CAP area fluctuation. Nonlinear time series analysis of CAP area fluctuations is a valuable new insight tool that can be used for the study of alterations in transmission of sensory information in humans suffering diabetes or under other demyelination diseases.

Keywords: Sural nerve; Compound action potential; Fractal structure; Area variability; Streptozotocin; Diabetes (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:83:y:2016:i:c:p:223-233

DOI: 10.1016/j.chaos.2015.12.011

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