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Influence of spiking activity on cortical local field potentials

The intra-cortical local field potential (LFP) reflects a variety of electrophysiological processes including synaptic inputs to neurons and their spiking activity. It is still a common assumption that removing high frequencies, often above 300 Hz, is sufficient to exclude spiking activity from LFP...

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Detalles Bibliográficos
Autores principales: Waldert, Stephan, Lemon, Roger N, Kraskov, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Science Inc 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936368/
https://www.ncbi.nlm.nih.gov/pubmed/23981719
http://dx.doi.org/10.1113/jphysiol.2013.258228
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author Waldert, Stephan
Lemon, Roger N
Kraskov, Alexander
author_facet Waldert, Stephan
Lemon, Roger N
Kraskov, Alexander
author_sort Waldert, Stephan
collection PubMed
description The intra-cortical local field potential (LFP) reflects a variety of electrophysiological processes including synaptic inputs to neurons and their spiking activity. It is still a common assumption that removing high frequencies, often above 300 Hz, is sufficient to exclude spiking activity from LFP activity prior to analysis. Conclusions based on such supposedly spike-free LFPs can result in false interpretations of neurophysiological processes and erroneous correlations between LFPs and behaviour or spiking activity. Such findings might simply arise from spike contamination rather than from genuine changes in synaptic input activity. Although the subject of recent studies, the extent of LFP contamination by spikes is unclear, and the fundamental problem remains. Using spikes recorded in the motor cortex of the awake monkey, we investigated how different factors, including spike amplitude, duration and firing rate, together with the noise statistic, can determine the extent to which spikes contaminate intra-cortical LFPs. We demonstrate that such contamination is realistic for LFPs with a frequency down to ∼10 Hz. For LFP activity below ∼10 Hz, such as movement-related potential, contamination is theoretically possible but unlikely in real situations. Importantly, LFP frequencies up to the (high-) gamma band can remain unaffected. This study shows that spike–LFP crosstalk in intra-cortical recordings should be assessed for each individual dataset to ensure that conclusions based on LFP analysis are valid. To this end, we introduce a method to detect and to visualise spike contamination, and provide a systematic guide to assess spike contamination of intra-cortical LFPs.
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spelling pubmed-39363682014-07-16 Influence of spiking activity on cortical local field potentials Waldert, Stephan Lemon, Roger N Kraskov, Alexander J Physiol Computational Physiology and Modelling The intra-cortical local field potential (LFP) reflects a variety of electrophysiological processes including synaptic inputs to neurons and their spiking activity. It is still a common assumption that removing high frequencies, often above 300 Hz, is sufficient to exclude spiking activity from LFP activity prior to analysis. Conclusions based on such supposedly spike-free LFPs can result in false interpretations of neurophysiological processes and erroneous correlations between LFPs and behaviour or spiking activity. Such findings might simply arise from spike contamination rather than from genuine changes in synaptic input activity. Although the subject of recent studies, the extent of LFP contamination by spikes is unclear, and the fundamental problem remains. Using spikes recorded in the motor cortex of the awake monkey, we investigated how different factors, including spike amplitude, duration and firing rate, together with the noise statistic, can determine the extent to which spikes contaminate intra-cortical LFPs. We demonstrate that such contamination is realistic for LFPs with a frequency down to ∼10 Hz. For LFP activity below ∼10 Hz, such as movement-related potential, contamination is theoretically possible but unlikely in real situations. Importantly, LFP frequencies up to the (high-) gamma band can remain unaffected. This study shows that spike–LFP crosstalk in intra-cortical recordings should be assessed for each individual dataset to ensure that conclusions based on LFP analysis are valid. To this end, we introduce a method to detect and to visualise spike contamination, and provide a systematic guide to assess spike contamination of intra-cortical LFPs. Blackwell Science Inc 2013-11-01 2013-08-27 /pmc/articles/PMC3936368/ /pubmed/23981719 http://dx.doi.org/10.1113/jphysiol.2013.258228 Text en © 2013 The Authors. The Journal of Physiology © 2013 The Physiological Society
spellingShingle Computational Physiology and Modelling
Waldert, Stephan
Lemon, Roger N
Kraskov, Alexander
Influence of spiking activity on cortical local field potentials
title Influence of spiking activity on cortical local field potentials
title_full Influence of spiking activity on cortical local field potentials
title_fullStr Influence of spiking activity on cortical local field potentials
title_full_unstemmed Influence of spiking activity on cortical local field potentials
title_short Influence of spiking activity on cortical local field potentials
title_sort influence of spiking activity on cortical local field potentials
topic Computational Physiology and Modelling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3936368/
https://www.ncbi.nlm.nih.gov/pubmed/23981719
http://dx.doi.org/10.1113/jphysiol.2013.258228
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