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

Volume

53

Issue

9

fYear

2006

Firstpage

1802

Lastpage

1812

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;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2006.873692

Filename

1673622