Non-linear EEG analysis in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES)

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Abstract

Objective: The objective of this work was to study the non-linear aspects of electroencephalography (EEG) in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES). Methods: In this study, we recorded the sleep EEG in 5 subjects with ESES (4 males and one female, aged 6.5-10 years) who were also mentally retarded and affected by cerebral palsy (3 subjects) and hydrocephalus (two subjects). The signals were sampled at 128Hz and stored on hard disk. All the subsequent computational steps were performed on EEG epochs (4096 data points) selected from wakefulness and non-rapid eye movement (non-REM) (with ESES) or REM sleep. The dynamic properties of the EEG were assessed by means of the non-linear cross prediction (NLCP) test which uses 3 different 'model' time series in order to predict non-linearly the original data set (Pred, Ama and Tir). Pred is a measure of the predictability of the time series and Ama and Tir are measures of asymmetry, indicating non-linear structure. Moreover, the correlation dimension (D2) was estimated by means of the algorithm by Grassberger and Procaccia (1983) for the epochs showing non-linear nature. Results: The NLCP test provided evidence of significant non-linear dynamics in all epochs of non-REM sleep, when ESES was evident. Only during this stage, the possible presence of low-dimensional chaos could also be suspected (average D2 = 4.02; range 3.16-6.21). EEG without ESES could not be distinguished from linearly filtered noise. Conclusions: The results of the present study seem to indicate that subjects with ESES show a profound modification of their EEG dynamics with the occurrence, during sleep, of long periods characterized by non-linear dynamics and, probably, low-dimensional chaotic structure able to modify in a substantial way their brain functioning during sleep.

Original languageEnglish
Pages (from-to)2274-2280
Number of pages7
JournalClinical Neurophysiology
Volume112
Issue number12
DOIs
Publication statusPublished - 2001

Fingerprint

Status Epilepticus
Electroencephalography
Epilepsy
Sleep
Nonlinear Dynamics
Eye Movements
Wakefulness
Mentally Disabled Persons
REM Sleep
Cerebral Palsy
Hydrocephalus
Noise

Keywords

  • Chaos
  • Correlation dimension
  • Electroencephalography
  • Encephalopathy with electrical status epilepticus during slow-wave sleep
  • Epilepsy
  • Non-linear cross prediction
  • Non-linear dynamics
  • Sleep

ASJC Scopus subject areas

  • Clinical Neurology
  • Physiology (medical)
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Sensory Systems

Cite this

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title = "Non-linear EEG analysis in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES)",
abstract = "Objective: The objective of this work was to study the non-linear aspects of electroencephalography (EEG) in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES). Methods: In this study, we recorded the sleep EEG in 5 subjects with ESES (4 males and one female, aged 6.5-10 years) who were also mentally retarded and affected by cerebral palsy (3 subjects) and hydrocephalus (two subjects). The signals were sampled at 128Hz and stored on hard disk. All the subsequent computational steps were performed on EEG epochs (4096 data points) selected from wakefulness and non-rapid eye movement (non-REM) (with ESES) or REM sleep. The dynamic properties of the EEG were assessed by means of the non-linear cross prediction (NLCP) test which uses 3 different 'model' time series in order to predict non-linearly the original data set (Pred, Ama and Tir). Pred is a measure of the predictability of the time series and Ama and Tir are measures of asymmetry, indicating non-linear structure. Moreover, the correlation dimension (D2) was estimated by means of the algorithm by Grassberger and Procaccia (1983) for the epochs showing non-linear nature. Results: The NLCP test provided evidence of significant non-linear dynamics in all epochs of non-REM sleep, when ESES was evident. Only during this stage, the possible presence of low-dimensional chaos could also be suspected (average D2 = 4.02; range 3.16-6.21). EEG without ESES could not be distinguished from linearly filtered noise. Conclusions: The results of the present study seem to indicate that subjects with ESES show a profound modification of their EEG dynamics with the occurrence, during sleep, of long periods characterized by non-linear dynamics and, probably, low-dimensional chaotic structure able to modify in a substantial way their brain functioning during sleep.",
keywords = "Chaos, Correlation dimension, Electroencephalography, Encephalopathy with electrical status epilepticus during slow-wave sleep, Epilepsy, Non-linear cross prediction, Non-linear dynamics, Sleep",
author = "Raffaele Ferri and Maurizio Elia and Musumeci, {Sebastiano A.} and Stam, {Cornelis J.}",
year = "2001",
doi = "10.1016/S1388-2457(01)00676-9",
language = "English",
volume = "112",
pages = "2274--2280",
journal = "Clinical Neurophysiology",
issn = "1388-2457",
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TY - JOUR

T1 - Non-linear EEG analysis in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES)

AU - Ferri, Raffaele

AU - Elia, Maurizio

AU - Musumeci, Sebastiano A.

AU - Stam, Cornelis J.

PY - 2001

Y1 - 2001

N2 - Objective: The objective of this work was to study the non-linear aspects of electroencephalography (EEG) in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES). Methods: In this study, we recorded the sleep EEG in 5 subjects with ESES (4 males and one female, aged 6.5-10 years) who were also mentally retarded and affected by cerebral palsy (3 subjects) and hydrocephalus (two subjects). The signals were sampled at 128Hz and stored on hard disk. All the subsequent computational steps were performed on EEG epochs (4096 data points) selected from wakefulness and non-rapid eye movement (non-REM) (with ESES) or REM sleep. The dynamic properties of the EEG were assessed by means of the non-linear cross prediction (NLCP) test which uses 3 different 'model' time series in order to predict non-linearly the original data set (Pred, Ama and Tir). Pred is a measure of the predictability of the time series and Ama and Tir are measures of asymmetry, indicating non-linear structure. Moreover, the correlation dimension (D2) was estimated by means of the algorithm by Grassberger and Procaccia (1983) for the epochs showing non-linear nature. Results: The NLCP test provided evidence of significant non-linear dynamics in all epochs of non-REM sleep, when ESES was evident. Only during this stage, the possible presence of low-dimensional chaos could also be suspected (average D2 = 4.02; range 3.16-6.21). EEG without ESES could not be distinguished from linearly filtered noise. Conclusions: The results of the present study seem to indicate that subjects with ESES show a profound modification of their EEG dynamics with the occurrence, during sleep, of long periods characterized by non-linear dynamics and, probably, low-dimensional chaotic structure able to modify in a substantial way their brain functioning during sleep.

AB - Objective: The objective of this work was to study the non-linear aspects of electroencephalography (EEG) in children with epilepsy and electrical status epilepticus during slow-wave sleep (ESES). Methods: In this study, we recorded the sleep EEG in 5 subjects with ESES (4 males and one female, aged 6.5-10 years) who were also mentally retarded and affected by cerebral palsy (3 subjects) and hydrocephalus (two subjects). The signals were sampled at 128Hz and stored on hard disk. All the subsequent computational steps were performed on EEG epochs (4096 data points) selected from wakefulness and non-rapid eye movement (non-REM) (with ESES) or REM sleep. The dynamic properties of the EEG were assessed by means of the non-linear cross prediction (NLCP) test which uses 3 different 'model' time series in order to predict non-linearly the original data set (Pred, Ama and Tir). Pred is a measure of the predictability of the time series and Ama and Tir are measures of asymmetry, indicating non-linear structure. Moreover, the correlation dimension (D2) was estimated by means of the algorithm by Grassberger and Procaccia (1983) for the epochs showing non-linear nature. Results: The NLCP test provided evidence of significant non-linear dynamics in all epochs of non-REM sleep, when ESES was evident. Only during this stage, the possible presence of low-dimensional chaos could also be suspected (average D2 = 4.02; range 3.16-6.21). EEG without ESES could not be distinguished from linearly filtered noise. Conclusions: The results of the present study seem to indicate that subjects with ESES show a profound modification of their EEG dynamics with the occurrence, during sleep, of long periods characterized by non-linear dynamics and, probably, low-dimensional chaotic structure able to modify in a substantial way their brain functioning during sleep.

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KW - Correlation dimension

KW - Electroencephalography

KW - Encephalopathy with electrical status epilepticus during slow-wave sleep

KW - Epilepsy

KW - Non-linear cross prediction

KW - Non-linear dynamics

KW - Sleep

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