Topography and behavioral relevance of the global signal in the human brain

Abstract The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly unders...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jingwei Li, Taylor Bolt, Danilo Bzdok, Jason S. Nomi, B. T. Thomas Yeo, R. Nathan Spreng, Lucina Q. Uddin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e6523054ec9a439088a8c60031827fe1
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:e6523054ec9a439088a8c60031827fe1
record_format	dspace
spelling	oai:doaj.org-article:e6523054ec9a439088a8c60031827fe12021-12-02T15:09:20ZTopography and behavioral relevance of the global signal in the human brain10.1038/s41598-019-50750-82045-2322https://doaj.org/article/e6523054ec9a439088a8c60031827fe12019-10-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-50750-8https://doaj.org/toc/2045-2322Abstract The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis of positive and negative life outcomes and psychological function. These results suggest that the global signal contains a rich source of information related to trait-level cognition and behavior. This work has significant implications for the contentious debate over artifact removal practices in neuroimaging.Jingwei LiTaylor BoltDanilo BzdokJason S. NomiB. T. Thomas YeoR. Nathan SprengLucina Q. UddinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jingwei Li Taylor Bolt Danilo Bzdok Jason S. Nomi B. T. Thomas Yeo R. Nathan Spreng Lucina Q. Uddin Topography and behavioral relevance of the global signal in the human brain
description	Abstract The global signal in resting-state functional MRI data is considered to be dominated by physiological noise and artifacts, yet a growing literature suggests that it also carries information about widespread neural activity. The biological relevance of the global signal remains poorly understood. Applying principal component analysis to a large neuroimaging dataset, we found that individual variation in global signal topography recapitulates well-established patterns of large-scale functional brain networks. Using canonical correlation analysis, we delineated relationships between individual differences in global signal topography and a battery of phenotypes. The first canonical variate of the global signal, resembling the frontoparietal control network, was significantly related to an axis of positive and negative life outcomes and psychological function. These results suggest that the global signal contains a rich source of information related to trait-level cognition and behavior. This work has significant implications for the contentious debate over artifact removal practices in neuroimaging.
format	article
author	Jingwei Li Taylor Bolt Danilo Bzdok Jason S. Nomi B. T. Thomas Yeo R. Nathan Spreng Lucina Q. Uddin
author_facet	Jingwei Li Taylor Bolt Danilo Bzdok Jason S. Nomi B. T. Thomas Yeo R. Nathan Spreng Lucina Q. Uddin
author_sort	Jingwei Li
title	Topography and behavioral relevance of the global signal in the human brain
title_short	Topography and behavioral relevance of the global signal in the human brain
title_full	Topography and behavioral relevance of the global signal in the human brain
title_fullStr	Topography and behavioral relevance of the global signal in the human brain
title_full_unstemmed	Topography and behavioral relevance of the global signal in the human brain
title_sort	topography and behavioral relevance of the global signal in the human brain
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/e6523054ec9a439088a8c60031827fe1
work_keys_str_mv	AT jingweili topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT taylorbolt topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT danilobzdok topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT jasonsnomi topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT btthomasyeo topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT rnathanspreng topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain AT lucinaquddin topographyandbehavioralrelevanceoftheglobalsignalinthehumanbrain
_version_	1718387848798797824

Topography and behavioral relevance of the global signal in the human brain

Ejemplares similares