Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity

Background electroencephalography (EEG), recorded with scalp electrodes, in children with childhood absence epilepsy (CAE) and control individuals has been analyzed. We considered 5 CAE patients, all right-handed females and aged 6-8 years. The 15 control individuals had the same characteristics of...

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Detalles Bibliográficos
Autores principales: Rosso, O.A., Mendes, A., Rostas, J.A., Hunter, M., Moscato, P.
Formato: JOUR
Materias:
Absence epilepsy
Background
Classification
EEG
absence
article
benign childhood epilepsy
child
clinical article
clinical practice
controlled study
decomposition
disease marker
electrode
electroencephalography
eye movement
female
human
pilot study
preschool child
principal component analysis
priority journal
recognition
right handedness
school child
seizure
signal transduction
Age Factors
Aging
Brain Mapping
Cerebral Cortex
Child
Diagnosis, Differential
Electrodes
Electrodiagnosis
Electroencephalography
Epilepsy, Absence
Evoked Potentials
Female
Humans
Predictive Value of Tests
Reference Values
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01650270_v177_n2_p461_Rosso
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
Descripción
Sumario:Background electroencephalography (EEG), recorded with scalp electrodes, in children with childhood absence epilepsy (CAE) and control individuals has been analyzed. We considered 5 CAE patients, all right-handed females and aged 6-8 years. The 15 control individuals had the same characteristics of the CAE ones, but presented a normal EEG. The EEG was obtained using bipolar connections from a standard 10-20 electrode placement (F p 1, F p 2, F 7, F 3, F z, F 4, F 8, T 3, C 3, C z, C 4, T 4, T 5, P 3, P z, P 4, T 6, O 1 and O 2). Recordings were undertaken in the resting state with eyes closed. EEG hallmarks of absence seizure activity are widely accepted, but there is a recognition that the bulk of interictal EEG in CAE appears normal to visual inspection. The functional activity between electrodes was evaluated using a wavelet decomposition in conjunction with the Wootters distance. Then, pairs of electrodes with differentiated behavior between CAE and controls were identified using a test statistic-based feature selection technique. This approach identified clear differences between CAE and healthy control background EEG in the frontocentral electrodes, as measured by Principal Component Analysis. The findings of this pilot study can have strong implications in future clinical practice. © 2008 Elsevier B.V. All rights reserved.

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