Basis profile curve identification to understand electrical stimulation effects in human brain networks.

Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring voltage responses in other areas. We propose a convergent paradigm to study brain dynamics, focusing on a single brain site to observe the average effect of stimulating each of many other brai...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kai J Miller, Klaus-Robert Müller, Dora Hermes
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/41a37880e442491f8abc7cbd5016e083
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:41a37880e442491f8abc7cbd5016e083
record_format	dspace
spelling	oai:doaj.org-article:41a37880e442491f8abc7cbd5016e0832021-12-02T19:57:52ZBasis profile curve identification to understand electrical stimulation effects in human brain networks.1553-734X1553-735810.1371/journal.pcbi.1008710https://doaj.org/article/41a37880e442491f8abc7cbd5016e0832021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1008710https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring voltage responses in other areas. We propose a convergent paradigm to study brain dynamics, focusing on a single brain site to observe the average effect of stimulating each of many other brain sites. Viewed in this manner, visually-apparent motifs in the temporal response shape emerge from adjacent stimulation sites. This work constructs and illustrates a data-driven approach to determine characteristic spatiotemporal structure in these response shapes, summarized by a set of unique "basis profile curves" (BPCs). Each BPC may be mapped back to underlying anatomy in a natural way, quantifying projection strength from each stimulation site using simple metrics. Our technique is demonstrated for an array of implanted brain surface electrodes in a human patient. This framework enables straightforward interpretation of single-pulse brain stimulation data, and can be applied generically to explore the diverse milieu of interactions that comprise the connectome.Kai J MillerKlaus-Robert MüllerDora HermesPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1008710 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Kai J Miller Klaus-Robert Müller Dora Hermes Basis profile curve identification to understand electrical stimulation effects in human brain networks.
description	Brain networks can be explored by delivering brief pulses of electrical current in one area while measuring voltage responses in other areas. We propose a convergent paradigm to study brain dynamics, focusing on a single brain site to observe the average effect of stimulating each of many other brain sites. Viewed in this manner, visually-apparent motifs in the temporal response shape emerge from adjacent stimulation sites. This work constructs and illustrates a data-driven approach to determine characteristic spatiotemporal structure in these response shapes, summarized by a set of unique "basis profile curves" (BPCs). Each BPC may be mapped back to underlying anatomy in a natural way, quantifying projection strength from each stimulation site using simple metrics. Our technique is demonstrated for an array of implanted brain surface electrodes in a human patient. This framework enables straightforward interpretation of single-pulse brain stimulation data, and can be applied generically to explore the diverse milieu of interactions that comprise the connectome.
format	article
author	Kai J Miller Klaus-Robert Müller Dora Hermes
author_facet	Kai J Miller Klaus-Robert Müller Dora Hermes
author_sort	Kai J Miller
title	Basis profile curve identification to understand electrical stimulation effects in human brain networks.
title_short	Basis profile curve identification to understand electrical stimulation effects in human brain networks.
title_full	Basis profile curve identification to understand electrical stimulation effects in human brain networks.
title_fullStr	Basis profile curve identification to understand electrical stimulation effects in human brain networks.
title_full_unstemmed	Basis profile curve identification to understand electrical stimulation effects in human brain networks.
title_sort	basis profile curve identification to understand electrical stimulation effects in human brain networks.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/41a37880e442491f8abc7cbd5016e083
work_keys_str_mv	AT kaijmiller basisprofilecurveidentificationtounderstandelectricalstimulationeffectsinhumanbrainnetworks AT klausrobertmuller basisprofilecurveidentificationtounderstandelectricalstimulationeffectsinhumanbrainnetworks AT dorahermes basisprofilecurveidentificationtounderstandelectricalstimulationeffectsinhumanbrainnetworks
_version_	1718375773898801152

Basis profile curve identification to understand electrical stimulation effects in human brain networks.

Ejemplares similares