Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.

L Astolfi; F Cincotti; D Mattia; F De Vico Fallani; A Colosimo; S Salinari; M G Marciani; M Ursino; Melissa Zavaglia; W Hesse; H Witte; F Babiloni

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.

Standard

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement. / Astolfi, L; Cincotti, F; Mattia, D; De Vico Fallani, F; Colosimo, A; Salinari, S; Marciani, M G; Ursino, M; Zavaglia, Melissa; Hesse, W; Witte, H; Babiloni, F.

in: Conf Proc IEEE Eng Med Biol Soc, Jahrgang 2007, 2007, S. 4402-4405.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Astolfi, L, Cincotti, F, Mattia, D, De Vico Fallani, F, Colosimo, A, Salinari, S, Marciani, MG, Ursino, M, Zavaglia, M, Hesse, W, Witte, H & Babiloni, F 2007, 'Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.', Conf Proc IEEE Eng Med Biol Soc, Jg. 2007, S. 4402-4405. <http://www.ncbi.nlm.nih.gov/pubmed/18002980?dopt=Citation>

APA

Astolfi, L., Cincotti, F., Mattia, D., De Vico Fallani, F., Colosimo, A., Salinari, S., Marciani, M. G., Ursino, M., Zavaglia, M., Hesse, W., Witte, H., & Babiloni, F. (2007). Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement. Conf Proc IEEE Eng Med Biol Soc, 2007, 4402-4405. http://www.ncbi.nlm.nih.gov/pubmed/18002980?dopt=Citation

Vancouver

Astolfi L, Cincotti F, Mattia D, De Vico Fallani F, Colosimo A, Salinari S et al. Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4402-4405.

Bibtex

@article{00730978f5fe4533a9e15e07218fa837,

title = "Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.",

abstract = "In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were 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 estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task. We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-lips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.",

keywords = "Adult, Humans, Male, Female, *Models, Biological, Electroencephalography/methods, Nerve Net/*physiology, Cerebral Cortex/*physiology, Brain Mapping/methods, Foot/*physiology, Lip/*physiology, Motor Activity/*physiology, Adult, Humans, Male, Female, *Models, Biological, Electroencephalography/methods, Nerve Net/*physiology, Cerebral Cortex/*physiology, Brain Mapping/methods, Foot/*physiology, Lip/*physiology, Motor Activity/*physiology",

author = "L Astolfi and F Cincotti and D Mattia and {De Vico Fallani}, F and A Colosimo and S Salinari and Marciani, {M G} and M Ursino and Melissa Zavaglia and W Hesse and H Witte and F Babiloni",

year = "2007",

language = "English",

volume = "2007",

pages = "4402--4405",

}

RIS

TY - JOUR

T1 - Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement.

AU - Astolfi, L

AU - Cincotti, F

AU - Mattia, D

AU - De Vico Fallani, F

AU - Colosimo, A

AU - Salinari, S

AU - Marciani, M G

AU - Ursino, M

AU - Zavaglia, Melissa

AU - Hesse, W

AU - Witte, H

AU - Babiloni, F

PY - 2007

Y1 - 2007

N2 - In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were 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 estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task. We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-lips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.

AB - In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were 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 estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task. We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-lips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.

KW - Adult

KW - Humans

KW - Male

KW - Female

KW - Models, Biological

KW - Electroencephalography/methods

KW - Nerve Net/physiology

KW - Cerebral Cortex/physiology

KW - Brain Mapping/methods

KW - Foot/physiology

KW - Lip/physiology

KW - Motor Activity/physiology