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Abstract:

In this sequel to our previous work [Rosso OA, Mendes A, Rostas JA, Hunter M, Moscato P. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity. J. Neurosci. Methods 2009;177:461-68], we extend the analysis of background electroencephalography (EEG), recorded with scalp electrodes in a clinical setting, in children with childhood absence epilepsy (CAE) and control individuals. The same set of individuals was considered-five CAE patients, all right-handed females and aged 6-8 years. The EEG was obtained using bipolar connections from a standard 10-20 electrode placement. The functional activity between electrodes was evaluated using a wavelet decomposition in conjunction with the Wootters distance. In the previous study, a Kruskal-Wallis statistical test was used to select the pairs of electrodes with differentiated behavior between CAE and control samples (classes). In this contribution, we present the results for a combinatorial optimization approach to select the pairs of electrodes. The new method produces a better separation between the classes, and at the same time uses a smaller number of features (pairs of electrodes). It managed to almost halve the number of features and also improves the separation between the CAE and control samples. The new results strengthen the hypothesis that mostly fronto-central electrodes carry useful information and patterns that can help to discriminate CAE cases from controls. Finally, we provide a comprehensive set of tests and in-depth explanation of the method and results. © 2009 Elsevier B.V.

Registro:

Documento: Artículo
Título:Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection
Autor:Rosso, O.A.; Mendes, A.; Berretta, R.; Rostas, J.A.; Hunter, M.; Moscato, P.
Filiación:Centre for Bioinformatics, Biomarker Discovery and Information-Based Medicine, Hunter Medical Research Institute, School of Electrical Engineering and Computer Science, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
Instituto de Cálculo, Facultad de Ciencias Exactas y Naturales, Pabellón II, 1428 Ciudad Autonoma de Buenos Aires, Argentina
Biomedical Sciences and Hunter Medical Research Institute, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
School of Psychology, Hunter Medical Research Institute, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
ARC Centre of Excellence in Bioinformatics, The University of Newcastle, University Drive, Callaghan, NSW 2308, Australia
Palabras clave:Absence epilepsy; Background; Classification; EEG; absence; analytic method; article; behavior; brain electrophysiology; child; clinical article; controlled study; diagnostic accuracy; diagnostic value; electrode; electroencephalography; female; functional assessment; human; priority journal; process optimization; Brain; Child; Electrodes; Electrodiagnosis; Electroencephalography; Epilepsy, Absence; Female; Humans; Models, Neurological; Signal Processing, Computer-Assisted
Año:2009
Volumen:181
Número:2
Página de inicio:257
Página de fin:267
DOI: http://dx.doi.org/10.1016/j.jneumeth.2009.04.028
Título revista:Journal of Neuroscience Methods
Título revista abreviado:J. Neurosci. Methods
ISSN:01650270
CODEN:JNMED
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v181_n2_p257_Rosso

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Citas:

---------- APA ----------
Rosso, O.A., Mendes, A., Berretta, R., Rostas, J.A., Hunter, M. & Moscato, P. (2009) . Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection. Journal of Neuroscience Methods, 181(2), 257-267.
http://dx.doi.org/10.1016/j.jneumeth.2009.04.028
---------- CHICAGO ----------
Rosso, O.A., Mendes, A., Berretta, R., Rostas, J.A., Hunter, M., Moscato, P. "Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection" . Journal of Neuroscience Methods 181, no. 2 (2009) : 257-267.
http://dx.doi.org/10.1016/j.jneumeth.2009.04.028
---------- MLA ----------
Rosso, O.A., Mendes, A., Berretta, R., Rostas, J.A., Hunter, M., Moscato, P. "Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection" . Journal of Neuroscience Methods, vol. 181, no. 2, 2009, pp. 257-267.
http://dx.doi.org/10.1016/j.jneumeth.2009.04.028
---------- VANCOUVER ----------
Rosso, O.A., Mendes, A., Berretta, R., Rostas, J.A., Hunter, M., Moscato, P. Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity (II): A combinatorial optimization approach for electrode selection. J. Neurosci. Methods. 2009;181(2):257-267.
http://dx.doi.org/10.1016/j.jneumeth.2009.04.028