<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The evaluation of electroencephalogram (EEG) and the clinical picture of eyelid myoclonus (EM) with absences (EMA) using classical EEG signal evaluation and power spectral analysis currently presents a major challenge to predict further improvement, unsteady status, neurological defect outcomes in patients, or lethal termination in septic encephalopathy and acid-base imbalance due to kidney failure. At the Clinic of Anaesthesiology and Intensive Medicine (CAIM) of University Hospital in Martin (UHM) we clinically examined a patient N.J., a 58-year-old male with EMA. We used the Neuron-Spectrum-AM specialized software to measure the EEG signal visually and by means of power spectral analysis methods to quantitatively analyse the EEG record.</p><p>The power spectral colour maps confirmed a disturbance of consciousness, approximating the depth of unconsciousness, affirmatively with a clinical disorder in absences, hypoactive delirium, and showed extinction of functional brain foci with the possibility of topical interpretation, and established an EEG correlate of impaired cognition, attention and lucidity of consciousness that were assessed by the clinical findings of the attending physician. The EMA syndrome was a final agonal condition with hypoactive delirium and was considered to be idiopathic epilepsy linked to severe metabolic-septic encephalopathy as an epileptic syndrome.</p></abstract>

The evaluation of electroencephalogram (EEG) and the clinical picture of eyelid myoclonus (EM) with absences (EMA) using classical EEG signal evaluation and power spectral analysis currently presents a major challenge to predict further improvement, unsteady status, neurological defect outcomes in patients, or lethal termination in septic encephalopathy and acid-base imbalance due to kidney failure. At the Clinic of Anaesthesiology and Intensive Medicine (CAIM) of University Hospital in Martin (UHM) we clinically examined a patient N.J., a 58-year-old male with EMA. We used the Neuron-Spectrum-AM specialized software to measure the EEG signal visually and by means of power spectral analysis methods to quantitatively analyse the EEG record.The power spectral colour maps confirmed a disturbance of consciousness, approximating the depth of unconsciousness, affirmatively with a clinical disorder in absences, hypoactive delirium, and showed extinction of functional brain foci with the possibility of topical interpretation, and established an EEG correlate of impaired cognition, attention and lucidity of consciousness that were assessed by the clinical findings of the attending physician. The EMA syndrome was a final agonal condition with hypoactive delirium and was considered to be idiopathic epilepsy linked to severe metabolic-septic encephalopathy as an epileptic syndrome.

Jeavons Syndrome, Eyelid Myoclonus with Absences (EMA) with Epileptic Status and Hypoactive Delirium

Acta Medica Martiniana

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The evaluation of electroencephalogram (EEG) and the clinical picture of eyelid myoclonus (EM) with absences (EMA) using classical EEG signal evaluation and...

Jeavons Syndrome, Eyelid Myoclonus with Absences (EMA) with Epileptic Status and Hypoactive Delirium

Publié en ligne: 23 févr. 2019

Pages: 30 - 41

Reçu: 13 sept. 2018

Accepté: 20 déc. 2018

DOI: https://doi.org/10.2478/acm-2018-0015

Mots clés
myoclonus, hypoactive delirium, EEG, power spectrum, frequency spectrum, eyelid myoclonus with absences

© 2018 G Sobolova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Jeavons Syndrome, Eyelid Myoclonus with Absences (EMA) with Epileptic Status and Hypoactive Delirium

Publié en ligne: 23 févr. 2019

Pages: 30 - 41

Reçu: 13 sept. 2018

Accepté: 20 déc. 2018

DOI: https://doi.org/10.2478/acm-2018-0015

Mots clésmyoclonus, hypoactive delirium, EEG, power spectrum, frequency spectrum, eyelid myoclonus with absences

© 2018 G Sobolova et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
myoclonus, hypoactive delirium, EEG, power spectrum, frequency spectrum, eyelid myoclonus with absences