A Generic Technique to Remove a Variety of Electrical Stimulation Artifacts and Detect Stimulus-Embedded Neural...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Signal Processing

Background:

• Investigating neural activity is crucial for advancing neuroscience and developing clinical neuromodulation techniques.
• Electrical stimulation used in neurostimulation research and therapy can introduce artifacts into neural recordings, complicating data analysis.
• Existing methods for artifact removal may not be sufficiently effective or generalizable across different stimulation waveforms.

Purpose of the Study:

• To develop and evaluate a generalizable method for removing electrical artifacts from neural recordings caused by various neurostimulation waveforms.
• To improve the accuracy and reliability of neural activity measurements during neurostimulation experiments.
• To facilitate the investigation of novel neurostimulation paradigms and the development of clinical strategies.

Main Methods:

• Developed a novel computational pipeline for identifying and removing electrical stimulation artifacts from neural recordings.
• Utilized 15 loose cell-attached patch clamp recordings of retinal ganglion cells, including over 5785 peristimulus spikes.
• Validated the method using both real neural data and synthesized spike trains to assess performance and waveform distortion.

Main Results:

• The developed pipeline demonstrated a high true positive rate (88.7%) and a low false discovery rate (2.9%) for artifact removal.
• The method achieved a d-prime of 3.11, significantly outperforming traditional interpolation methods (d-prime of 0.32).
• Synthesized data showed successful recovery of low-amplitude spikes embedded with stimulation artifacts, with minimal waveform distortion (low root mean square error).

Conclusions:

• The novel artifact removal technique is generalizable and effective across various neurostimulation waveforms.
• This method significantly enhances the ability to accurately study neural activity during stimulation, overcoming a major technical hurdle.
• The technique holds promise for advancing neurostimulation research and aiding the development of effective clinical neurostimulation strategies.