| Texto completo | |
| Autor(es): |
Baccala, Luiz A.
;
Takahashi, Daniel Y.
;
Sameshima, Koichi
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | IEEE Transactions on Biomedical Engineering; v. 63, n. 12, p. 2450-2460, DEC 2016. |
| Citações Web of Science: | 5 |
| Resumo | |
Objective: To present a unified mathematical derivation of the frequency-dependent asymptotic behavior of the three main forms of directed transfer function (DTF). Methods: A synthesis of the results (proved in an extended Appendix) is followed by a series of Monte Carlo simulations of representative examples. Results: DTF estimators are asymptotically normal when the true values are different from zero. Under the null hypothesis H-0 : DTF = 0, the estimator is distributed as a linear combination of independent chi(2)(1) variables. Conclusions: Null DTF rejection is shown to be achievable with identical performance irrespective of which DTF form is adopted. Significance: Together with recent allied partial directed coherence results, this paper rounds up connectivity inference tools for a class of frequency-domain connectivity estimators. (AU) | |
| Processo FAPESP: | 08/08171-0 - Modelagem de populações de neurônios por sistemas markovianos de muitos componentes com interações de alcance variável |
| Beneficiário: | Daniel Yasumasa Takahashi |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 05/56464-9 - Centro de Imagem em Neurociências da Faculdade de Medicina da Universidade de São Paulo |
| Beneficiário: | Giovanni Guido Cerri |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa CINAPCE - Temático |