Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.

Laura Astolfi; Febo Cincotti; Donatella Mattia; M G Marciani; Luis A Baccalà; Fabrizio de Vico Fallani; Serenella Salinari; Mauro Ursino; Melissa Zavaglia; Fabio Babiloni

doi:10.1109/tbme.2006.873692

PubMed · 16941836

Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.

Laura Astolfi·Febo Cincotti·Donatella Mattia·M G Marciani·Luis A Baccalà·Fabrizio de Vico Fallani·Serenella Salinari·Mauro Ursino·Melissa Zavaglia·Fabio Babiloni

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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.

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Algorithms Brain Mapping Cerebral Cortex Computer Simulation Diagnosis, Computer-Assisted Electroencephalography Evoked Potentials, Motor Humans Models, Neurological Nerve Net Neural Pathways Journal Article Research Support, Non-U.S. Gov't

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BibTeX RIS

Laura Astolfi, Febo Cincotti, Donatella Mattia, M G Marciani, Luis A Baccalà, Fabrizio de Vico Fallani, Serenella Salinari, Mauro Ursino, Melissa Zavaglia, Fabio Babiloni. 2006. Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data.. https://doi.org/10.1109/tbme.2006.873692

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