Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.
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Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data. / Astolfi, Laura; Cincotti, Febo; Mattia, Donatella; Marciani, M G; Baccalà, Luis A; de Vico Fallani, Fabrizio; Salinari, Serenella; Ursino, Mauro; Zavaglia, Melissa; Babiloni, Fabio.
In: IEEE T BIO-MED ENG, Vol. 53, No. 9, 9, 2006, p. 1802-1812.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.
AU - Astolfi, Laura
AU - Cincotti, Febo
AU - Mattia, Donatella
AU - Marciani, M G
AU - Baccalà, Luis A
AU - de Vico Fallani, Fabrizio
AU - Salinari, Serenella
AU - Ursino, Mauro
AU - Zavaglia, Melissa
AU - Babiloni, Fabio
PY - 2006
Y1 - 2006
N2 - The aim of this paper is to test a technique called partial directed coherence (PDC) and its modification (squared PDC; sPDC) for the estimation of human cortical connectivity by means of simulation study, in which both PDC and sPDC were studied by analysis of variance. The statistical analysis performed returned that both PDC and sPDC are able to estimate correctly the imposed connectivity patterns when data exhibit a signal-to-noise ratio of at least 3 and a length of at least 27 s of nonconsecutive recordings at 250 Hz of sampling rate, equivalent, more generally, to 6750 data samples.
AB - The aim of this paper is to test a technique called partial directed coherence (PDC) and its modification (squared PDC; sPDC) for the estimation of human cortical connectivity by means of simulation study, in which both PDC and sPDC were studied by analysis of variance. The statistical analysis performed returned that both PDC and sPDC are able to estimate correctly the imposed connectivity patterns when data exhibit a signal-to-noise ratio of at least 3 and a length of at least 27 s of nonconsecutive recordings at 250 Hz of sampling rate, equivalent, more generally, to 6750 data samples.
KW - Humans
KW - Algorithms
KW - Computer Simulation
KW - Models, Neurological
KW - Electroencephalography/methods
KW - Nerve Net/physiology
KW - Cerebral Cortex/physiology
KW - Brain Mapping/methods
KW - Neural Pathways/physiology
KW - Diagnosis, Computer-Assisted/methods
KW - Evoked Potentials, Motor/physiology
KW - Humans
KW - Algorithms
KW - Computer Simulation
KW - Models, Neurological
KW - Electroencephalography/methods
KW - Nerve Net/physiology
KW - Cerebral Cortex/physiology
KW - Brain Mapping/methods
KW - Neural Pathways/physiology
KW - Diagnosis, Computer-Assisted/methods
KW - Evoked Potentials, Motor/physiology
M3 - SCORING: Journal article
VL - 53
SP - 1802
EP - 1812
JO - IEEE T BIO-MED ENG
JF - IEEE T BIO-MED ENG
SN - 0018-9294
IS - 9
M1 - 9
ER -