Whole-brain propagating patterns in human resting-state brain activities

Repetitive propagating activities in resting-state brain activities have been widely observed in various species and regions. Because they resemble the preceding brain activities during tasks, they are assumed to reflect past experiences embedded in neuronal circuits. “Whole-brain” propagating activ...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yusuke Takeda, Nobuo Hiroe, Okito Yamashita
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Resting-state Whole-brain propagating activity Spatiotemporal pattern Resting-state network Magnetoencephalography (MEG) Electroencephalography (EEG) Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Acceso en línea:	https://doaj.org/article/775b117df0d545a3a1fe904c88bb644f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:775b117df0d545a3a1fe904c88bb644f
record_format	dspace
spelling	oai:doaj.org-article:775b117df0d545a3a1fe904c88bb644f2021-11-28T04:29:00ZWhole-brain propagating patterns in human resting-state brain activities1095-957210.1016/j.neuroimage.2021.118711https://doaj.org/article/775b117df0d545a3a1fe904c88bb644f2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1053811921009836https://doaj.org/toc/1095-9572Repetitive propagating activities in resting-state brain activities have been widely observed in various species and regions. Because they resemble the preceding brain activities during tasks, they are assumed to reflect past experiences embedded in neuronal circuits. “Whole-brain” propagating activities may also reflect a process that integrates information distributed over the entire brain, such as visual and motor information. Here we reveal whole-brain propagating activities from human resting-state magnetoencephalography (MEG) and electroencephalography (EEG) data. We simultaneously recorded the MEGs and EEGs and estimated the source currents from both measurements. Then using our recently proposed algorithm, we extracted repetitive spatiotemporal patterns from the source currents. The estimated patterns consisted of multiple frequency components, each of which transiently exhibited the frequency-specific resting-state networks (RSNs) of functional MRIs (fMRIs), such as the default mode and sensorimotor networks. A simulation test suggested that the spatiotemporal patterns reflected the phase alignment of the multiple frequency oscillators induced by the propagating activities along the anatomical connectivity. These results argue that whole-brain propagating activities transiently exhibited multiple RSNs in their multiple frequency components, suggesting that they reflected a process to integrate the information distributed over the frequencies and networks.Yusuke TakedaNobuo HiroeOkito YamashitaElsevierarticleResting-stateWhole-brain propagating activitySpatiotemporal patternResting-state networkMagnetoencephalography (MEG)Electroencephalography (EEG)Neurosciences. Biological psychiatry. NeuropsychiatryRC321-571ENNeuroImage, Vol 245, Iss , Pp 118711- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Resting-state Whole-brain propagating activity Spatiotemporal pattern Resting-state network Magnetoencephalography (MEG) Electroencephalography (EEG) Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
spellingShingle	Resting-state Whole-brain propagating activity Spatiotemporal pattern Resting-state network Magnetoencephalography (MEG) Electroencephalography (EEG) Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Yusuke Takeda Nobuo Hiroe Okito Yamashita Whole-brain propagating patterns in human resting-state brain activities
description	Repetitive propagating activities in resting-state brain activities have been widely observed in various species and regions. Because they resemble the preceding brain activities during tasks, they are assumed to reflect past experiences embedded in neuronal circuits. “Whole-brain” propagating activities may also reflect a process that integrates information distributed over the entire brain, such as visual and motor information. Here we reveal whole-brain propagating activities from human resting-state magnetoencephalography (MEG) and electroencephalography (EEG) data. We simultaneously recorded the MEGs and EEGs and estimated the source currents from both measurements. Then using our recently proposed algorithm, we extracted repetitive spatiotemporal patterns from the source currents. The estimated patterns consisted of multiple frequency components, each of which transiently exhibited the frequency-specific resting-state networks (RSNs) of functional MRIs (fMRIs), such as the default mode and sensorimotor networks. A simulation test suggested that the spatiotemporal patterns reflected the phase alignment of the multiple frequency oscillators induced by the propagating activities along the anatomical connectivity. These results argue that whole-brain propagating activities transiently exhibited multiple RSNs in their multiple frequency components, suggesting that they reflected a process to integrate the information distributed over the frequencies and networks.
format	article
author	Yusuke Takeda Nobuo Hiroe Okito Yamashita
author_facet	Yusuke Takeda Nobuo Hiroe Okito Yamashita
author_sort	Yusuke Takeda
title	Whole-brain propagating patterns in human resting-state brain activities
title_short	Whole-brain propagating patterns in human resting-state brain activities
title_full	Whole-brain propagating patterns in human resting-state brain activities
title_fullStr	Whole-brain propagating patterns in human resting-state brain activities
title_full_unstemmed	Whole-brain propagating patterns in human resting-state brain activities
title_sort	whole-brain propagating patterns in human resting-state brain activities
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/775b117df0d545a3a1fe904c88bb644f
work_keys_str_mv	AT yusuketakeda wholebrainpropagatingpatternsinhumanrestingstatebrainactivities AT nobuohiroe wholebrainpropagatingpatternsinhumanrestingstatebrainactivities AT okitoyamashita wholebrainpropagatingpatternsinhumanrestingstatebrainactivities
_version_	1718408387170926592

Whole-brain propagating patterns in human resting-state brain activities

Ejemplares similares