Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.
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.
Astolfi
Laura
L
Dip Informatica e Sistemistica, Universita La Sapienza, Rome, Italy. laura.astolfi@uniromal.it
Cincotti
Febo
F
Mattia
Donatella
D
Marciani
M G
MG
Baccalà
Luis A
LA
de Vico Fallani
Fabrizio
F
Salinari
Serenella
S
Ursino
Mauro
M
Zavaglia
Melissa
M
Babiloni
Fabio
F
D000465:Algorithms; D001931:Brain Mapping / Q000379:methods*; D002540:Cerebral Cortex / Q000502:physiology*; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D019054:Evoked Potentials, Motor / Q000502:physiology*; D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology