Testing the asymptotic statistic for the assessment of the significance of partial directed coherence connectivity patterns

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 5016-5019

  Toppi, J ^a   Babiloni, F ^a   Vecchiato, G ^a   Cincotti, F ^b   De Vico Fallani, F ^a   Mattia, D ^b   Salinari, S ^a   Astolfi, L ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b IRCCS FONDAZIONE SANTA LUCIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMPTOTIC DISTRIBUTIONS; CONNECTIVITY PATTERN; DATA LENGTH; FALSE NEGATIVES; FALSE POSITIVE; FREQUENCY DOMAIN DESCRIPTION; GRANGER CAUSALITY; MULTIPLE COMPARISON; MULTIVARIATE TIME SERIES; PARTIAL DIRECTED COHERENCE; SIMULATION STUDIES; STATISTICAL SIGNIFICANCE; SURROGATE DATA; TYPE II ERROR; TYPE-I ERROR; VALIDATION APPROACH;

ERRORS; ESTIMATION; SIGNAL TO NOISE RATIO; TIME SERIES;

ANALYSIS OF VARIANCE (ANOVA);

EID: 84055199722     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6091243     Document Type: Conference Paper

References (13)

1. L. A. Baccalá and K. Sameshima, "Partial directed coherence: a new concept in neural structure determination", Biological Cybernetics, vol. 84, pp. 463-474, 2001.
2. C. W. J. Granger, "Investigating causal relations by econometric models and cross-spectral methods", Econometrica, vol. 37, pp. 424-438, 1969.
3. L. A. Baccalá, D. Y. Takahashi, K. Sameshima, "Generalized Partial Directed Coherence (Published Conference Proceedings)", in Proc. 15th International Conference on Digital Signal Processing, Cardiff, 2007, pp. 162-166.
4. L. Faes, G. Nollo, "Extended causal modeling to assess Partial Directed Coherence", Biological Cybernetics, vol. 103, pp. 387-400, 2010.
5. L. Astolfi, F. Cincotti, D. Mattia, M. G. Marciani, L. A. Baccalà, F. De Vico Fallani, S. Salinari, M. Ursino, M. Zavaglia, F. Babiloni, "Assessing cortical functional connectivity by partial directed coherence: simulations and application to real data", IEEE Transactions on Bio-Medical Engineering, vol. 53, pp. 1802-1812, Sept. 2006.
6. K. Sameshima e L. A. Baccalá, "Using partial directed coherence to describe neuronal ensemble interactions", Journal of Neuroscience Methods, vol. 94, pp. 93-103, Dec. 1999.
7. M. Kaminski, M. Ding, W. A. Truccolo, e S. L. Bressler, "Evaluating causal relations in neural systems: Granger causality, directed transfer function and statistical assessment of significance", Biological Cybernetics, vol. 85, pp. 145-157, 2001.
8. D. Y. Takahashi, L. A. Baccal, K. Sameshima, "Connectivity Inference between Neural Structures via Partial Directed Coherence", Journal of Applied Statistics, vol. 34, pp. 1259-1273, 2007.
9. T. Nichols e S. Hayasaka, "Controlling the familywise error rate in functional neuroimaging: a comparative review", Statistical Methods in Medical Research, vol. 12, pp. 419-446, Oct. 2003.
10. H. Akaike, "A new look at statistical model identification", IEEE Trans Automat Control, vol. 19, pp. 716-723, 1974.
11. B. Schelter, M. Winterhalder, M. Eichler, M. Peifer, B. Hellwig, B. Guschlbauer, C. H. Lucking, R. Dahlhaus, J. Timmer, "Testing for directed influences among neural signals using partial directed coherence", Journal of Neuroscience Methods, vol. 152, pp. 210-219, Apr. 2006.
12. C. Bonferroni, "Teoria statistica delle classi e calcolo delle probabilità", Pubblicazioni del R Istituto Superiore di Scienze Economiche e Commerciali di Firenze, 1936.
13. Y. Benjamini and Y. Hochberg, "Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing", Journal of the Royal Statistical Society, vol. 57, pp. 289-300, Jan. 1995.