| Full text | |
| Author(s): |
Baccala, Luiz A.
;
Takahashi, Daniel Y.
;
Sameshima, Koichi
Total Authors: 3
|
| Document type: | Journal article |
| Source: | IEEE Transactions on Biomedical Engineering; v. 63, n. 12, p. 2450-2460, DEC 2016. |
| Web of Science Citations: | 5 |
| Abstract | |
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) | |
| FAPESP's process: | 05/56464-9 - Neuroscience Imaging Center at University of São Paulo Medical School |
| Grantee: | Giovanni Guido Cerri |
| Support type: | Inter-institutional Cooperation in Support of Brain Research (CINAPCE) - Thematic Grants |
| FAPESP's process: | 08/08171-0 - Modeling populations of neurons with multicomponent systems with variable range interactions |
| Grantee: | Daniel Yasumasa Takahashi |
| Support type: | Scholarships in Brazil - Post-Doctorate |