NDLI: Study of the time-varying cortical connectivity during the attempt of a foot movement by Spinal Cord Injured patients

Content Provider	IEEE Xplore Digital Library
Author	Astolfi, L. Cincotti, F. Mattia, D. De Vico Fallani, F. Colosimo, A. Salinari, S. Marciani, M.G. Witte, H. Babiloni, F.
Copyright Year	2008
Description	Author affiliation: Dep. of Human Physiology and Pharmacology of the Univ. of Rome ¿La Sapienza¿, Dep. of Computer Science of the Univ. of Rome ¿La Sapienza¿ and IRCCS ¿Fondazione Santa Lucia¿, Italy (Astolfi, L.) \|\| Dep. of Computer Science of the Univ. of Rome ¿La Sapienza¿, Italy (Salinari, S.) \|\| Department of Human Physiology and Pharmacology of the University of Rome ¿La Sapienza¿ and IRCCS ¿Fondazione Santa Lucia¿, Italy (Babiloni, F.) \|\| Fondazione Santa Lucia, Rome, Italy (Cincotti, F.; Mattia, D.) \|\| Centro di Ricerca de ¿La Sapienza¿ per l'Analisi dei Modelli e dell'Informazione nei Sistemi Biomedici¿, Rome, Italy (De Vico Fallani, F.; Colosimo, A.) \|\| Institute of Medical Statistics Computer Sciences and Documentation, Friedrich Schiller University of Jena, Germany (Witte, H.) \|\| Dep. of Neuroscience, University of Tor Vergata, and ¿Fondazione Santa Lucia¿, Rome, Italy (Marciani, M.G.)
Abstract	In this study we estimated time-varying cortical connectivity patterns from a group of Spinal Cord Injured (SCI) patients during the attempt to move a paralyzed limb. This data were compared with the time-varying connectivity patterns estimated in a control group during the effective execution of the movement. Connectivity was estimated from high resolution EEG recordings with the use of realistic head modelling and the linear inverse estimation of the cortical activity. Time-varying PDC was obtained by the adaptive recursive fit of an MVAR model with time-dependent parameters, by means of a generalized recursive least-square (RLS) algorithm, taking into consideration a set of EEG epochs. Such estimator is able to follow rapid changes in the connectivity between cortical areas during an experimental task. The obtained experimental evidences support the conclusion that the SCI population involved a larger cortical network than those generated by the healthy subjects during the task performance. Such network differs for the involvement of the parietal cortices, which increases in strength near to the EMG onset.
Starting Page	4551
Ending Page	4554
File Size	320951
Page Count	4
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4650225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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