EEG synchronisation during sleep-related epileptic seizures as a new tool to discriminate confusional arousals from paroxysmal arousals: preliminary findings.

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Title: EEG synchronisation during sleep-related epileptic seizures as a new tool to discriminate confusional arousals from paroxysmal arousals: preliminary findings.
Authors: Zucconi, M., Manconi, M., Bizzozero, D., Rundo, F., Stam, C. J., Ferini-Strambi, L., Ferri, R.
Source: Neurological Sciences. Dec2005 Supplement 3, Vol. 26, ps199-s204. 6p.
Subjects: Electroencephalography, Frontal lobe epilepsy, Sleep disorders, Arousal (Physiology), Neurophysiology
Abstract: Confusional arousals, paroxysmal arousals (as part of the nocturnal frontal lobe epilepsy) and normal arousals and awakenings from NREM sleep are frequently a challenge for differential diagnosis. In this article we describe the course of synchronisation between different EEG channels during nocturnal seizures in 3 patients with sleep-related epileptic seizures and in I patient with sleep terrors. The functional interactions between the different EEG channels during the nocturnal seizures were analysed by means of the so-called synchronisation likelihood (SL). SL is a measure of the dynamical (linear and nonlinear) interdependencies between a time series (EEG channel) and one or more other time series. The main results of our study are the confirmation of a significant increase in EEG synchronisation during sleep-related seizures and the indication that clinically similar ictal motor patterns might be generated by different neurophysiological mechanisms, characterised by different patterns of synchronisation involving multiple or single frequency bands. This new approach might be useful to differentiate motor seizures, emerging from NREM sleep, from parasomnias (arousal disorders) when both ictal and interictal EEGs are uninformative. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: EEG synchronisation during sleep-related epileptic seizures as a new tool to discriminate confusional arousals from paroxysmal arousals: preliminary findings.
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  Data: <searchLink fieldCode="DE" term="%22Electroencephalography%22">Electroencephalography</searchLink><br /><searchLink fieldCode="DE" term="%22Frontal+lobe+epilepsy%22">Frontal lobe epilepsy</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep+disorders%22">Sleep disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Arousal+%28Physiology%29%22">Arousal (Physiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Neurophysiology%22">Neurophysiology</searchLink>
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  Data: Confusional arousals, paroxysmal arousals (as part of the nocturnal frontal lobe epilepsy) and normal arousals and awakenings from NREM sleep are frequently a challenge for differential diagnosis. In this article we describe the course of synchronisation between different EEG channels during nocturnal seizures in 3 patients with sleep-related epileptic seizures and in I patient with sleep terrors. The functional interactions between the different EEG channels during the nocturnal seizures were analysed by means of the so-called synchronisation likelihood (SL). SL is a measure of the dynamical (linear and nonlinear) interdependencies between a time series (EEG channel) and one or more other time series. The main results of our study are the confirmation of a significant increase in EEG synchronisation during sleep-related seizures and the indication that clinically similar ictal motor patterns might be generated by different neurophysiological mechanisms, characterised by different patterns of synchronisation involving multiple or single frequency bands. This new approach might be useful to differentiate motor seizures, emerging from NREM sleep, from parasomnias (arousal disorders) when both ictal and interictal EEGs are uninformative. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10072-005-0487-5
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              Text: Dec2005 Supplement 3
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