Estimation of cortical activity from noninvasive high-resolution EEG recordings

作     者：Mattia, Donatella Mattiocco, Marco Timperi, Alessandro Salinari, Serenella Marciani, Maria Grazia Babiloni, Fabio Febo, Cincotti 

作者机构：Fondazione Santa Lucia IRCCS Rome Italy Department of Computer and Systems Science University of Rome “La Sapienza” Rome Italy Department of Neuroscience University of Rome “Tor Vergata” Rome Italy Department of Human Physiology and Pharmacology University of Rome “La Sapienza” 00185 Rome P.le A. Moro 5 Italy 

出 版 物：《International Congress Series》 (Int. Congr. Ser.)

年 卷 期：2004年第1270卷第C期

页      面：245-248页

学科分类：1002[医学-临床医学] 07[理学] 08[工学] 

主　　题：Brain Computer Interface High-resolution EEG Imagination of movements 

摘      要：The aim of this paper is to analyze whether the use of the cortical activity estimated from noninvasive EEG recordings could be useful to detect mental states related to the imagination of limb movements. Estimation of cortical activity was performed on high-resolution EEG data related to the imagination of limb movements gathered in five normal, healthy subjects by using realistic head models. Cortical activity was estimated in region of interest (ROI) associated with the subject s Brodmann areas (BAs) by using depth-weighted minimum norm solutions. Comparisons between surface recorded EEG and the estimated cortical activity were performed. The estimated cortical activity related to the mental imagery of limbs in the five subjects is located mainly over the contralateral primary motor area. The unbalance between brain activity estimated in contralateral and ipsilateral motor cortical areas relative to the finger movement imagination is greater than those obtained in the scalp EEG recordings. Results suggest that the use of the estimated cortical activity for the motor imagery of upper limbs could be potentially superior with respect to the use of surface EEG recordings. This is due to a greater statistically significant unbalance between the activity estimated in the contralateral and ipsilateral hemisphere with respect to those observed with surface EEG. These results are useful in the context of the development of a noninvasive Brain Computer Interface. © 2004 Elsevier B.V.