Title :
Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data
Author :
Astolfi, L. ; Cincotti, F. ; Mattia, D. ; Marciani, M.G. ; Baccala, Luiz A. ; Fallani, F. De Vico ; Salinari, S. ; Ursino, M. ; Zavaglia, M. ; Babiloni, F.
Author_Institution :
Dipt. Informatica a Sistemistica, Univ. "La Sapienza", Rome
Abstract :
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
Keywords :
electroencephalography; medical signal processing; statistical analysis; EEG; ERP; cortical functional connectivity; partial directed coherence; statistical analysis; variance analysis; Analysis of variance; Analytical models; Brain modeling; Electroencephalography; Frequency; Humans; Magnetic analysis; Signal to noise ratio; Statistical analysis; Testing; Foot movement; high-resolution EEG; partial directed coherence; Algorithms; Brain Mapping; Cerebral Cortex; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Evoked Potentials, Motor; Humans; Models, Neurological; Nerve Net; Neural Pathways;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2006.873692
