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Action Potential

Action Potential

Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...

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Action potential identification in rodent sympathetic nerve recordings using a wavelet-based approach.

Arman Rajaei¹, Mehdi Ahmadian², Glen E Foster³

¹School of Engineering, University of British Columbia Okanagan, Kelowna, British Columbia, Canada.

Autonomic Neuroscience : Basic & Clinical

|March 12, 2026

Summary

This study introduces a refined wavelet-based method for analyzing sympathetic nerve activity in rodents. The new technique reveals how action potential characteristics change with burst size, advancing research on sympathetic nervous system communication.

Keywords:

Action potentials K-means clustering Sympathetic nerve activity Wavelet analysis

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Area of Science:

Neuroscience
Cardiovascular Physiology
Biomedical Engineering

Background:

The sympathetic nervous system regulates cardiovascular function.
Understanding sympathetic nerve firing patterns is crucial for cardiovascular research.
Previous wavelet-based analyses were limited to human recordings.

Purpose of the Study:

To extend and refine wavelet-based approaches for analyzing sympathetic nerve activity.
To apply this method to splanchnic sympathetic nerve activity (sSNA) in rodents.
To investigate action potential (AP) and burst characteristics in rodent sSNA.

Main Methods:

Developed and applied an advanced wavelet-based approach to rodent sSNA recordings.
Quantified AP occurrence within and across bursts.
Utilized k-means clustering for AP and burst amplitude analysis.

Main Results:

Demonstrated the feasibility of the wavelet-based approach in rodent recordings.
Showed a significant increase in large APs and decrease in small APs with increasing burst size (p < 0.001).
Found a significant negative association between AP amplitude and latency (p < 0.001), with larger APs having shorter latencies.

Conclusions:

The refined wavelet-based method is effective for rodent sSNA analysis.
Sympathetic nerve activity exhibits distinct AP and burst characteristics in rodents.
This methodology enables future mechanistic studies on sympathetic nervous system communication.