Inferring entire spiking activity from local field potentials

Abstract Extracellular recordings are typically analysed by separating them into two distinct signals: local field potentials (LFPs) and spikes. Previous studies have shown that spikes, in the form of single-unit activity (SUA) or multiunit activity (MUA), can be inferred solely from LFPs with moder...

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Autores principales:	Nur Ahmadi, Timothy G. Constandinou, Christos-Savvas Bouganis
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/7bf91d3dcd784af9b98f836dbed8e36d
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id	oai:doaj.org-article:7bf91d3dcd784af9b98f836dbed8e36d
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spelling	oai:doaj.org-article:7bf91d3dcd784af9b98f836dbed8e36d2021-12-02T15:14:47ZInferring entire spiking activity from local field potentials10.1038/s41598-021-98021-92045-2322https://doaj.org/article/7bf91d3dcd784af9b98f836dbed8e36d2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98021-9https://doaj.org/toc/2045-2322Abstract Extracellular recordings are typically analysed by separating them into two distinct signals: local field potentials (LFPs) and spikes. Previous studies have shown that spikes, in the form of single-unit activity (SUA) or multiunit activity (MUA), can be inferred solely from LFPs with moderately good accuracy. SUA and MUA are typically extracted via threshold-based technique which may not be reliable when the recordings exhibit a low signal-to-noise ratio (SNR). Another type of spiking activity, referred to as entire spiking activity (ESA), can be extracted by a threshold-less, fast, and automated technique and has led to better performance in several tasks. However, its relationship with the LFPs has not been investigated. In this study, we aim to address this issue by inferring ESA from LFPs intracortically recorded from the motor cortex area of three monkeys performing different tasks. Results from long-term recording sessions and across subjects revealed that ESA can be inferred from LFPs with good accuracy. On average, the inference performance of ESA was consistently and significantly higher than those of SUA and MUA. In addition, local motor potential (LMP) was found to be the most predictive feature. The overall results indicate that LFPs contain substantial information about spiking activity, particularly ESA. This could be useful for understanding LFP-spike relationship and for the development of LFP-based BMIs.Nur AhmadiTimothy G. ConstandinouChristos-Savvas BouganisNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Nur Ahmadi Timothy G. Constandinou Christos-Savvas Bouganis Inferring entire spiking activity from local field potentials
description	Abstract Extracellular recordings are typically analysed by separating them into two distinct signals: local field potentials (LFPs) and spikes. Previous studies have shown that spikes, in the form of single-unit activity (SUA) or multiunit activity (MUA), can be inferred solely from LFPs with moderately good accuracy. SUA and MUA are typically extracted via threshold-based technique which may not be reliable when the recordings exhibit a low signal-to-noise ratio (SNR). Another type of spiking activity, referred to as entire spiking activity (ESA), can be extracted by a threshold-less, fast, and automated technique and has led to better performance in several tasks. However, its relationship with the LFPs has not been investigated. In this study, we aim to address this issue by inferring ESA from LFPs intracortically recorded from the motor cortex area of three monkeys performing different tasks. Results from long-term recording sessions and across subjects revealed that ESA can be inferred from LFPs with good accuracy. On average, the inference performance of ESA was consistently and significantly higher than those of SUA and MUA. In addition, local motor potential (LMP) was found to be the most predictive feature. The overall results indicate that LFPs contain substantial information about spiking activity, particularly ESA. This could be useful for understanding LFP-spike relationship and for the development of LFP-based BMIs.
format	article
author	Nur Ahmadi Timothy G. Constandinou Christos-Savvas Bouganis
author_facet	Nur Ahmadi Timothy G. Constandinou Christos-Savvas Bouganis
author_sort	Nur Ahmadi
title	Inferring entire spiking activity from local field potentials
title_short	Inferring entire spiking activity from local field potentials
title_full	Inferring entire spiking activity from local field potentials
title_fullStr	Inferring entire spiking activity from local field potentials
title_full_unstemmed	Inferring entire spiking activity from local field potentials
title_sort	inferring entire spiking activity from local field potentials
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/7bf91d3dcd784af9b98f836dbed8e36d
work_keys_str_mv	AT nurahmadi inferringentirespikingactivityfromlocalfieldpotentials AT timothygconstandinou inferringentirespikingactivityfromlocalfieldpotentials AT christossavvasbouganis inferringentirespikingactivityfromlocalfieldpotentials
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Inferring entire spiking activity from local field potentials

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