Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior

Abstract Heterogeneity of the posterior alpha rhythm (AR) is a widely assumed but rarely tested phenomenon. We decomposed the posterior AR in the cortical source space with a 3-way PARAFAC technique, taking into account the spatial, frequency, and temporal aspects of mid-density EEG. We found a mult...

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Autores principales:	Elham Barzegaran, Vladimir Y. Vildavski, Maria G. Knyazeva
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a05e5083e40745a082eadc1da21739b1
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spelling	oai:doaj.org-article:a05e5083e40745a082eadc1da21739b12021-12-02T15:05:04ZFine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior10.1038/s41598-017-08421-z2045-2322https://doaj.org/article/a05e5083e40745a082eadc1da21739b12017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08421-zhttps://doaj.org/toc/2045-2322Abstract Heterogeneity of the posterior alpha rhythm (AR) is a widely assumed but rarely tested phenomenon. We decomposed the posterior AR in the cortical source space with a 3-way PARAFAC technique, taking into account the spatial, frequency, and temporal aspects of mid-density EEG. We found a multicomponent AR structure in 90% of a group of 29 healthy adults. The typical resting-state structure consisted of a high-frequency occipito-parietal component of the AR (ARC1) and a low-frequency occipito-temporal component (ARC2), characterized by individual dynamics in time. In a few cases, we found a 3-component structure, with two ARC1s and one ARC2. The AR structures were stable in their frequency and spatial features over weeks to months, thus representing individual EEG alpha phenotypes. Cortical topography, individual stability, and similarity to the primate AR organization link ARC1 to the dorsal visual stream and ARC2 to the ventral one. Understanding how many and what kind of posterior AR components contribute to the EEG is essential for clinical neuroscience as an objective basis for AR segmentation and for interpreting AR dynamics under various conditions, both normal and pathological, which can selectively affect individual components.Elham BarzegaranVladimir Y. VildavskiMaria G. KnyazevaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Elham Barzegaran Vladimir Y. Vildavski Maria G. Knyazeva Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
description	Abstract Heterogeneity of the posterior alpha rhythm (AR) is a widely assumed but rarely tested phenomenon. We decomposed the posterior AR in the cortical source space with a 3-way PARAFAC technique, taking into account the spatial, frequency, and temporal aspects of mid-density EEG. We found a multicomponent AR structure in 90% of a group of 29 healthy adults. The typical resting-state structure consisted of a high-frequency occipito-parietal component of the AR (ARC1) and a low-frequency occipito-temporal component (ARC2), characterized by individual dynamics in time. In a few cases, we found a 3-component structure, with two ARC1s and one ARC2. The AR structures were stable in their frequency and spatial features over weeks to months, thus representing individual EEG alpha phenotypes. Cortical topography, individual stability, and similarity to the primate AR organization link ARC1 to the dorsal visual stream and ARC2 to the ventral one. Understanding how many and what kind of posterior AR components contribute to the EEG is essential for clinical neuroscience as an objective basis for AR segmentation and for interpreting AR dynamics under various conditions, both normal and pathological, which can selectively affect individual components.
format	article
author	Elham Barzegaran Vladimir Y. Vildavski Maria G. Knyazeva
author_facet	Elham Barzegaran Vladimir Y. Vildavski Maria G. Knyazeva
author_sort	Elham Barzegaran
title	Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
title_short	Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
title_full	Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
title_fullStr	Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
title_full_unstemmed	Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior
title_sort	fine structure of posterior alpha rhythm in human eeg: frequency components, their cortical sources, and temporal behavior
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/a05e5083e40745a082eadc1da21739b1
work_keys_str_mv	AT elhambarzegaran finestructureofposterioralpharhythminhumaneegfrequencycomponentstheircorticalsourcesandtemporalbehavior AT vladimiryvildavski finestructureofposterioralpharhythminhumaneegfrequencycomponentstheircorticalsourcesandtemporalbehavior AT mariagknyazeva finestructureofposterioralpharhythminhumaneegfrequencycomponentstheircorticalsourcesandtemporalbehavior
_version_	1718388973830668288

Fine Structure of Posterior Alpha Rhythm in Human EEG: Frequency Components, Their Cortical Sources, and Temporal Behavior

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