An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo

Increasingly complex multi-electrode arrays for the study of neurons both in vitro and in vivo have been developed with the aim of tracking the conduction of neural action potentials across a complex interconnected network. This is usually performed through the use of electrodes to record from singl...

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Autores principales:	Lionel M. Broche, Karla D. Bustamante, Michael Pycraft Hughes
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	neural probe neuroprobe recording implant Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/f8d3d92bdfac40aeb9708a12d71dfad1
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spelling	oai:doaj.org-article:f8d3d92bdfac40aeb9708a12d71dfad12021-11-25T18:23:17ZAn Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo10.3390/mi121113462072-666Xhttps://doaj.org/article/f8d3d92bdfac40aeb9708a12d71dfad12021-10-01T00:00:00Zhttps://www.mdpi.com/2072-666X/12/11/1346https://doaj.org/toc/2072-666XIncreasingly complex multi-electrode arrays for the study of neurons both in vitro and in vivo have been developed with the aim of tracking the conduction of neural action potentials across a complex interconnected network. This is usually performed through the use of electrodes to record from single or small groups of microelectrodes, and using only one electrode to monitor an action potential at any given time. More complex high-density electrode structures (with thousands of electrodes or more) capable of tracking action potential propagation have been developed but are not widely available. We have developed an algorithm taking data from clusters of electrodes positioned such that action potentials are detected by multiple sites, and using this to detect the location and velocity of action potentials from multiple neurons. The system has been tested by analyzing recordings from probes implanted into the locust nervous system, where recorded positions and velocities correlate well with the known physical form of the nerve.Lionel M. BrocheKarla D. BustamanteMichael Pycraft HughesMDPI AGarticleneural probeneuroproberecordingimplantMechanical engineering and machineryTJ1-1570ENMicromachines, Vol 12, Iss 1346, p 1346 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	neural probe neuroprobe recording implant Mechanical engineering and machinery TJ1-1570
spellingShingle	neural probe neuroprobe recording implant Mechanical engineering and machinery TJ1-1570 Lionel M. Broche Karla D. Bustamante Michael Pycraft Hughes An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
description	Increasingly complex multi-electrode arrays for the study of neurons both in vitro and in vivo have been developed with the aim of tracking the conduction of neural action potentials across a complex interconnected network. This is usually performed through the use of electrodes to record from single or small groups of microelectrodes, and using only one electrode to monitor an action potential at any given time. More complex high-density electrode structures (with thousands of electrodes or more) capable of tracking action potential propagation have been developed but are not widely available. We have developed an algorithm taking data from clusters of electrodes positioned such that action potentials are detected by multiple sites, and using this to detect the location and velocity of action potentials from multiple neurons. The system has been tested by analyzing recordings from probes implanted into the locust nervous system, where recorded positions and velocities correlate well with the known physical form of the nerve.
format	article
author	Lionel M. Broche Karla D. Bustamante Michael Pycraft Hughes
author_facet	Lionel M. Broche Karla D. Bustamante Michael Pycraft Hughes
author_sort	Lionel M. Broche
title	An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
title_short	An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
title_full	An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
title_fullStr	An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
title_full_unstemmed	An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo
title_sort	algorithm for tracking the position and velocity of multiple neuronal signals using implantable microelectrodes in vivo
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f8d3d92bdfac40aeb9708a12d71dfad1
work_keys_str_mv	AT lionelmbroche analgorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo AT karladbustamante analgorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo AT michaelpycrafthughes analgorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo AT lionelmbroche algorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo AT karladbustamante algorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo AT michaelpycrafthughes algorithmfortrackingthepositionandvelocityofmultipleneuronalsignalsusingimplantablemicroelectrodesinvivo
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An Algorithm for Tracking the Position and Velocity of Multiple Neuronal Signals Using Implantable Microelectrodes In Vivo

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