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Computational Intelligence and Neuroscience
Volume 2007 (2007), Article ID 35021, 15 pages
doi:10.1155/2007/35021
Research Article

The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of Accuracy

Massimo Buscema,1 Massimiliano Capriotti,1 Francesca Bergami,1 Claudio Babiloni,2,3,4 Paolo Rossini,3,5,6 and Enzo Grossi7

1Semeion Research Centre of Sciences of Communication, Via Sersale, 117, Rome 00128, Italy
2Department of Human Physiology and Pharmacology, University of Rome La Sapienza, Rome 00185, Italy
3Ospedale San Giovanni Calibita “Fatebenefratelli”, Isola Tiberina, Rome 00153, Italy
4Casa di cura San Raffaele Cassino (Frosinone), San Raffaele Pisana, Rome, Italy
5IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia 25100, Italy
6Department of Clinical Neurosciences, University of Rome Campus Biomedico, Rome 00155 , Italy
7Bracco SpA Medical Department, Via E. Folli, 50, Milan 20134, Italy

Received 19 December 2006; Revised 7 June 2007; Accepted 1 August 2007

Academic Editor: Saied Sanei

Copyright © 2007 Massimo Buscema et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Massimo Buscema, Massimiliano Capriotti, Francesca Bergami, Claudio Babiloni, Paolo Rossini, and Enzo Grossi, “The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of Accuracy,” Computational Intelligence and Neuroscience, vol. 2007, Article ID 35021, 15 pages, 2007. doi:10.1155/2007/35021