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

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

Research output: Contribution to journal › Article › peer-review

122 Scopus citations

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.

Original language	English
Article number	1673622
Pages (from-to)	1802-1812
Number of pages	11
Journal	IEEE Transactions on Biomedical Engineering
Volume	53
Issue number	9
DOIs	https://doi.org/10.1109/TBME.2006.873692
State	Published - Sep 2006
Externally published	Yes

Keywords

Foot movement
High-resolution EEG
Partial directed coherence

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10.1109/TBME.2006.873692

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Astolfi, L., Cincotti, F., Mattia, D., Marciani, M. G., Baccalà, L. A., De Vico Fallani, F., Salinari, S., Ursino, M., Zavaglia, M., & Babiloni, F. (2006). Assessing cortical functional connectivity by partial directed coherence: Simulations and application to real data. IEEE Transactions on Biomedical Engineering, 53(9), 1802-1812. Article 1673622. https://doi.org/10.1109/TBME.2006.873692

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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.",

keywords = "Foot movement, High-resolution EEG, Partial directed coherence",

author = "Laura Astolfi and Febo Cincotti and Donatella Mattia and Marciani, {M. G.} and Baccal{\`a}, {Luis A.} and {De Vico Fallani}, Fabrizio and Serenella Salinari and Mauro Ursino and Melissa Zavaglia and Fabio Babiloni",

year = "2006",

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Astolfi, L, Cincotti, F, Mattia, D, Marciani, MG, Baccalà, LA, De Vico Fallani, F, Salinari, S, Ursino, M, Zavaglia, M & Babiloni, F 2006, 'Assessing cortical functional connectivity by partial directed coherence: Simulations and application to real data', IEEE Transactions on Biomedical Engineering, vol. 53, no. 9, 1673622, pp. 1802-1812. https://doi.org/10.1109/TBME.2006.873692

TY - JOUR

T1 - Assessing cortical functional connectivity by partial directed coherence

T2 - 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

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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.

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

IS - 9

M1 - 1673622

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

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