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

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.