Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies

Detection of Resting-State Functional Connectivity from High-Density Electroencephalography Data: Impact of Head Modeling Strategies

Recent technological advances have been permitted to use high-density electroencephalography (hdEEG) for the estimation of functional connectivity and the mapping of resting-state networks (RSNs). The reliable estimate of activity and connectivity from hdEEG data relies on the creation of an accurat...

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Bibliographic Details
Main Authors:	Gaia Amaranta Taberna, Jessica Samogin, Marco Marino, Dante Mantini
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Brain Sciences
Subjects:	electroencephalography functional connectivity resting-state networks head modelling electrode localization head tissue segmentation
Online Access:	https://www.mdpi.com/2076-3425/11/6/741

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