DocumentCode :
783646
Title :
Spectral cancellation of microstimulation artifact for simultaneous neural recording in situ
Author :
Gnadt, James W. ; Echols, Stanley D. ; Yildirim, Abidin ; Zhang, Honglei ; Paul, Kush
Author_Institution :
Dept. of Neurobiol. & Behavior, Stony Brook Univ., NY, USA
Volume :
50
Issue :
10
fYear :
2003
Firstpage :
1129
Lastpage :
1135
Abstract :
A fundamental technical hurdle in systems neurophysiology has been to record the activity of individual neurons in situ while using microstimulation to activate inputs or outputs. Stimulation artifact at the recording electrode has largely limited the usefulness of combined stimulating and recording to using single stimulation pulses (e.g., orthodromic and antidromic activation) or to presenting brief trains of pulses to look for transient responses (e.g., paired-pulse stimulation). Using an adaptive filter, we have developed an on-line method that allows continuous extracellular isolation of individual neuron spikes during sustained experimental microstimulation. We show that the technique accurately and robustly recovers neural spikes from stimulation-corrupted records. Moreover, we demonstrate that the method should generalize to any recording situation where a stereotyped, triggered transient might obscure a neural event.
Keywords :
adaptive filters; bioelectric potentials; biological techniques; cellular biophysics; neurophysiology; antidromic activation; continuous extracellular isolation; microstimulation artifact; neural event; on-line method; orthodromic activation; paired-pulse stimulation; simultaneous neural recording in situ; spike detection; stereotyped triggered transient might; Adaptive filters; Electrical stimulation; Electrodes; Extracellular; Neurons; Neurophysiology; Robustness; Stochastic resonance; Time domain analysis; Voltage; Action Potentials; Algorithms; Animals; Artifacts; Electric Stimulation; Electrodes, Implanted; Eye Movements; Feedback; Macaca mulatta; Microelectrodes; Neurons; Parietal Lobe; Signal Processing, Computer-Assisted;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2003.816077
Filename :
1232482
Link To Document :
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