Name
Title | ||
|---|---|---|
The effect of normalization of Partial Directed Coherence on the statistical assessment of connectivity patterns: a simulation study. |
Abstract | ||
|---|---|---|
Partial Directed Coherence (PDC) is a spectral multivariate estimator for effective connectivity, relying on the concept of Granger causality. Even if its original definition derived directly from information theory, two modifies were introduced in order to provide better physiological interpretations of the estimated networks: i) normalization of the estimator according to rows, ii) squared transformation. In the present paper we investigated the effect of PDC normalization on the performances achieved by applying the statistical validation process on investigated connectivity patterns under different conditions of Signal to Noise ratio (SNR) and amount of data available for the analysis. Results of the statistical analysis revealed an effect of PDC normalization only on the percentages of type I and type II errors occurred by using Shuffling procedure for the assessment of connectivity patterns. No effects of the PDC formulation resulted on the performances achieved during the validation process executed instead by means of Asymptotic Statistic approach. Moreover, the percentages of both false positives and false negatives committed by Asymptotic Statistic are always lower than those achieved by Shuffling procedure for each type of normalization. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610508 | EMBC |
Keywords | Field | DocType |
granger causality,network estimation,false negative percentage,spectral multivariate estimator,bioelectric potentials,asymptotic statistic approach,noise,neurophysiology,statistical analysis,data analysis,statistical validation process,false positive percentage,simulation study,connectivity pattern assessment,pdc normalization effect,physiological interpretation,shuffling procedure,squared transformation,signal-to-noise ratio,partial directed coherence,signal to noise ratio,estimation,coherence,physiology,analysis of variance | Normalization (statistics),Shuffling,Artificial intelligence,Type I and type II errors,Information theory,Computer vision,Statistic,Signal-to-noise ratio,Algorithm,False positives and false negatives,Statistics,Mathematics,Estimator | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jlenia Toppi | 1 | 136 | 22.74 |
| M Petti | 2 | 13 | 5.99 |
| G Vecchiato | 3 | 0 | 0.34 |
| F Cincotti | 4 | 54 | 7.76 |
| S Salinari | 5 | 0 | 0.34 |
| D Mattia | 6 | 37 | 7.96 |
| F Babiloni | 7 | 0 | 0.34 |
| Laura Astolfi | 8 | 170 | 20.52 |