Action potential waveform variability limits multi-unit separation in freely behaving rats.

Extracellular multi-unit recording is a widely used technique to study spontaneous and evoked neuronal activity in awake behaving animals. These recordings are done using either single-wire or multiwire electrodes such as tetrodes. In this study we have tested the ability of single-wire electrodes t...

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Autores principales:	Peter Stratton, Allen Cheung, Janet Wiles, Eugene Kiyatkin, Pankaj Sah, François Windels
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7d8aca475d4749e6a3cbd33492b4e8e8
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spelling	oai:doaj.org-article:7d8aca475d4749e6a3cbd33492b4e8e82021-11-18T07:15:43ZAction potential waveform variability limits multi-unit separation in freely behaving rats.1932-620310.1371/journal.pone.0038482https://doaj.org/article/7d8aca475d4749e6a3cbd33492b4e8e82012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22719894/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Extracellular multi-unit recording is a widely used technique to study spontaneous and evoked neuronal activity in awake behaving animals. These recordings are done using either single-wire or multiwire electrodes such as tetrodes. In this study we have tested the ability of single-wire electrodes to discriminate activity from multiple neurons under conditions of varying noise and neuronal cell density. Using extracellular single-unit recording, coupled with iontophoresis to drive cell activity across a wide dynamic range, we studied spike waveform variability, and explored systematic differences in single-unit spike waveform within and between brain regions as well as the influence of signal-to-noise ratio (SNR) on the similarity of spike waveforms. We also modelled spike misclassification for a range of cell densities based on neuronal recordings obtained at different SNRs. Modelling predictions were confirmed by classifying spike waveforms from multiple cells with various SNRs using a leading commercial spike-sorting system. Our results show that for single-wire recordings, multiple units can only be reliably distinguished under conditions of high recording SNR (≥ 4) and low neuronal density (≈ 20,000/ mm(3)). Physiological and behavioural changes, as well as technical limitations typical of awake animal preparations, reduce the accuracy of single-channel spike classification, resulting in serious classification errors. For SNR <4, the probability of misclassifying spikes approaches 100% in many cases. Our results suggest that in studies where the SNR is low or neuronal density is high, separation of distinct units needs to be evaluated with great caution.Peter StrattonAllen CheungJanet WilesEugene KiyatkinPankaj SahFrançois WindelsPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e38482 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Peter Stratton Allen Cheung Janet Wiles Eugene Kiyatkin Pankaj Sah François Windels Action potential waveform variability limits multi-unit separation in freely behaving rats.
description	Extracellular multi-unit recording is a widely used technique to study spontaneous and evoked neuronal activity in awake behaving animals. These recordings are done using either single-wire or multiwire electrodes such as tetrodes. In this study we have tested the ability of single-wire electrodes to discriminate activity from multiple neurons under conditions of varying noise and neuronal cell density. Using extracellular single-unit recording, coupled with iontophoresis to drive cell activity across a wide dynamic range, we studied spike waveform variability, and explored systematic differences in single-unit spike waveform within and between brain regions as well as the influence of signal-to-noise ratio (SNR) on the similarity of spike waveforms. We also modelled spike misclassification for a range of cell densities based on neuronal recordings obtained at different SNRs. Modelling predictions were confirmed by classifying spike waveforms from multiple cells with various SNRs using a leading commercial spike-sorting system. Our results show that for single-wire recordings, multiple units can only be reliably distinguished under conditions of high recording SNR (≥ 4) and low neuronal density (≈ 20,000/ mm(3)). Physiological and behavioural changes, as well as technical limitations typical of awake animal preparations, reduce the accuracy of single-channel spike classification, resulting in serious classification errors. For SNR <4, the probability of misclassifying spikes approaches 100% in many cases. Our results suggest that in studies where the SNR is low or neuronal density is high, separation of distinct units needs to be evaluated with great caution.
format	article
author	Peter Stratton Allen Cheung Janet Wiles Eugene Kiyatkin Pankaj Sah François Windels
author_facet	Peter Stratton Allen Cheung Janet Wiles Eugene Kiyatkin Pankaj Sah François Windels
author_sort	Peter Stratton
title	Action potential waveform variability limits multi-unit separation in freely behaving rats.
title_short	Action potential waveform variability limits multi-unit separation in freely behaving rats.
title_full	Action potential waveform variability limits multi-unit separation in freely behaving rats.
title_fullStr	Action potential waveform variability limits multi-unit separation in freely behaving rats.
title_full_unstemmed	Action potential waveform variability limits multi-unit separation in freely behaving rats.
title_sort	action potential waveform variability limits multi-unit separation in freely behaving rats.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/7d8aca475d4749e6a3cbd33492b4e8e8
work_keys_str_mv	AT peterstratton actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats AT allencheung actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats AT janetwiles actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats AT eugenekiyatkin actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats AT pankajsah actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats AT francoiswindels actionpotentialwaveformvariabilitylimitsmultiunitseparationinfreelybehavingrats
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Action potential waveform variability limits multi-unit separation in freely behaving rats.

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