Averaged multiple unit activity as an estimate of phasic changes in local neuronal activity

effects of volume-conducted potentials

Alan D. Legatt, Joseph C. Arezzo, Herbert G. Vaughan

Research output: Contribution to journalArticle

122 Citations (Scopus)

Abstract

A technique for the derivation of digitally-averaged multiple unit activity (MUA) is described. The use of signal averaging instead of analog integration improves the temporal resolution and thus provides a clearer picture of the instantaneous MUA level. MUA recordings have been used in the identification of regions active in the generation of event-related potentials, based in part on the limited volume within which a semi-microelectrode 'sees' action potentials. However, averaged MUA waveforms may be affected by time-locked activity volume-conducted to the electrode site. A theoretical analysis of the magnitude of this effect is presented, along with experimental data in support of its assumptions and predictions. The most important factor is not the absolute size of the volume-conducted potentials, but their magnitude relative to that of the locally-generated MUA. When full-wave rectification is used, volume-conducted activity which is a considerable fraction of the MUA level will not significantly affect the averaged MUA waveform. Half-wave rectification should not be used, as it leads to a much larger effect from small far-field potentials.

Original languageEnglish (US)
Pages (from-to)203-217
Number of pages15
JournalJournal of Neuroscience Methods
Volume2
Issue number2
DOIs
StatePublished - 1980

Fingerprint

Microelectrodes
Evoked Potentials
Action Potentials
Electrodes

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

@article{aea3accea0db4a799e24089bb760f924,
title = "Averaged multiple unit activity as an estimate of phasic changes in local neuronal activity: effects of volume-conducted potentials",
abstract = "A technique for the derivation of digitally-averaged multiple unit activity (MUA) is described. The use of signal averaging instead of analog integration improves the temporal resolution and thus provides a clearer picture of the instantaneous MUA level. MUA recordings have been used in the identification of regions active in the generation of event-related potentials, based in part on the limited volume within which a semi-microelectrode 'sees' action potentials. However, averaged MUA waveforms may be affected by time-locked activity volume-conducted to the electrode site. A theoretical analysis of the magnitude of this effect is presented, along with experimental data in support of its assumptions and predictions. The most important factor is not the absolute size of the volume-conducted potentials, but their magnitude relative to that of the locally-generated MUA. When full-wave rectification is used, volume-conducted activity which is a considerable fraction of the MUA level will not significantly affect the averaged MUA waveform. Half-wave rectification should not be used, as it leads to a much larger effect from small far-field potentials.",
author = "Legatt, {Alan D.} and Arezzo, {Joseph C.} and Vaughan, {Herbert G.}",
year = "1980",
doi = "10.1016/0165-0270(80)90061-8",
language = "English (US)",
volume = "2",
pages = "203--217",
journal = "Journal of Neuroscience Methods",
issn = "0165-0270",
publisher = "Elsevier",
number = "2",

}

TY - JOUR

T1 - Averaged multiple unit activity as an estimate of phasic changes in local neuronal activity

T2 - effects of volume-conducted potentials

AU - Legatt, Alan D.

AU - Arezzo, Joseph C.

AU - Vaughan, Herbert G.

PY - 1980

Y1 - 1980

N2 - A technique for the derivation of digitally-averaged multiple unit activity (MUA) is described. The use of signal averaging instead of analog integration improves the temporal resolution and thus provides a clearer picture of the instantaneous MUA level. MUA recordings have been used in the identification of regions active in the generation of event-related potentials, based in part on the limited volume within which a semi-microelectrode 'sees' action potentials. However, averaged MUA waveforms may be affected by time-locked activity volume-conducted to the electrode site. A theoretical analysis of the magnitude of this effect is presented, along with experimental data in support of its assumptions and predictions. The most important factor is not the absolute size of the volume-conducted potentials, but their magnitude relative to that of the locally-generated MUA. When full-wave rectification is used, volume-conducted activity which is a considerable fraction of the MUA level will not significantly affect the averaged MUA waveform. Half-wave rectification should not be used, as it leads to a much larger effect from small far-field potentials.

AB - A technique for the derivation of digitally-averaged multiple unit activity (MUA) is described. The use of signal averaging instead of analog integration improves the temporal resolution and thus provides a clearer picture of the instantaneous MUA level. MUA recordings have been used in the identification of regions active in the generation of event-related potentials, based in part on the limited volume within which a semi-microelectrode 'sees' action potentials. However, averaged MUA waveforms may be affected by time-locked activity volume-conducted to the electrode site. A theoretical analysis of the magnitude of this effect is presented, along with experimental data in support of its assumptions and predictions. The most important factor is not the absolute size of the volume-conducted potentials, but their magnitude relative to that of the locally-generated MUA. When full-wave rectification is used, volume-conducted activity which is a considerable fraction of the MUA level will not significantly affect the averaged MUA waveform. Half-wave rectification should not be used, as it leads to a much larger effect from small far-field potentials.

UR - http://www.scopus.com/inward/record.url?scp=0018852403&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0018852403&partnerID=8YFLogxK

U2 - 10.1016/0165-0270(80)90061-8

DO - 10.1016/0165-0270(80)90061-8

M3 - Article

VL - 2

SP - 203

EP - 217

JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

SN - 0165-0270

IS - 2

ER -