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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2009
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v177_n2_p461_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v177_n2_p461_Rosso |
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paper:paper_01650270_v177_n2_p461_Rosso2023-06-08T15:14:36Z Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity 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 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. 2009 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v177_n2_p461_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v177_n2_p461_Rosso |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
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 |
| spellingShingle |
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 Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| topic_facet |
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 |
| description |
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. |
| title |
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| title_short |
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| title_full |
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| title_fullStr |
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| title_full_unstemmed |
Distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| title_sort |
distinguishing childhood absence epilepsy patients from controls by the analysis of their background brain electrical activity |
| publishDate |
2009 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01650270_v177_n2_p461_Rosso http://hdl.handle.net/20.500.12110/paper_01650270_v177_n2_p461_Rosso |
| _version_ |
1768542784114917376 |