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Published on: June 15, 2018
[Polyneuro-electrophysiological studies of myoclonus in children]
1Neurophysiology Center, Children's Hospital, Chongqing University of Medical Science, Chongqing 400014, China.
Insights
Polyneuroelectrophysiological tests are crucial for diagnosing pediatric myoclonus, differentiating origins and properties. These methods, including EEG-EMG, JLA, and SSEP, offer valuable insights beyond standard EEGs for accurate classification.
Area of Science:
- Pediatric Neurology
- Clinical Neurophysiology
- Epileptology
Context:
- Myoclonus in children presents diverse clinical and electrophysiological characteristics.
- Distinguishing the origin and nature (epileptic vs. non-epileptic) of myoclonus is clinically significant.
- Traditional electroencephalography (EEG) alone may be insufficient for precise diagnosis.
Purpose:
- To investigate the clinical and neuroelectrophysiological features of pediatric myoclonus from various origins.
- To evaluate the utility of polyneuroelectrophysiological techniques in classifying myoclonus.
- To differentiate between cortical myoclonus (CM), subcortical myoclonus (SCM), and unidentified myoclonus.
Summary:
- A study analyzed 32 children with myoclonic seizures using video electroencephalogram-electromyogram (VEEG-EMG), jerk-locked back averaging (JLA), and somatosensory evoked potentials (SSEP).
- Cortical myoclonus (CM) showed shorter EMG burst durations (10-52 ms) and variable EEG findings, with some cases benefiting from JLA and SSEP.
- Subcortical myoclonus (SCM) exhibited longer EMG durations (60-400 ms), normal SSEPs, and lacked JLA abnormalities, highlighting distinct neurophysiological profiles.
Impact:
- Polyneuroelectrophysiological tests are more reliable than EEG alone for identifying the generating locations and properties of pediatric myoclonus.
- This study underscores the importance of comprehensive neurophysiological assessment for accurate diagnosis and management of childhood myoclonic disorders.
- Findings aid in classifying myoclonus as epileptic or non-epileptic, guiding appropriate therapeutic strategies.
Objective:
To explore the clinical and neuroelectrophysiological characteristics of myoclonus of different origins in children.
Method:
Thirty-two children with myoclonic seizure were analyzed by video electroencephalogram-electromyogram (VEEG-EMG) polygraphic recordings, jerk-locked back averaging (JLA) and short latency somatosensory evoked potential (SSEP). They were classified into cortical myoclonus (CM), subcortical myoclonus (SCM), and unidentified group according to their generating locations, and also were classified into epileptic and non-epileptic myoclonus based on their different properties.
Result:
The 32 patients included 14 with CM, 14 with SCM and 4 with unidentified origin. (1) CM group: the myoclonic patients presented as focal and/or multifocal seizures in 11 cases and as generalized in another 3 patients besides focal myoclonus. Arrhythmic jerks were shown completely in 11 cases and rhythmic seizures were concomitant in another 3 patients. Myoclonus sensitivity to sensory stimulus was observed in 10 patients. The durations of EMG burst were 10-52 ms. Background EEGs were presented normal in 4 patients and slowing in 10 patients. The epileptiform discharges in interictal EEG were variable. The ictal EEG showed epileptic discharges with each clinical jerk in 9 cases but only with some jerks in 4 patients. Another one had no any EEG abnormality in each jerk. The myoclonus-related spikes were disclosed in 13 cases by JLA. Of the 10 cases who underwent SSEP, giant SSEPs were seen in 3 cases including the one with normal EEG and JLA analyses. (2) SCM group: myoclonus was presented as generalized in 8 cases and as focal in 6 cases. All the patients showed arrhythmic jerks and 14 cases were not sensitive to stimulus. The durations of EMG burst were from 60 ms to 400 ms. Normal background EEGs were presented in 6 patients and slowing in 8 patients. The interictal EEG showed no consistent abnormality. Epileptic discharges associated with myoclonus seizures were not found in any of 9 patients but were observed with some seizure changes in 5 cases. There was no myoclonus-related spike by JLA in this group. SSEPs were normal in all patients. (3) The group with unidentified origin: the durations of EMG were from 60 ms to 400 ms, and their EEG and SSEP recordings were normal. In addition, 32 patients could be classified as epileptic myoclonus in 14 cases and nonepileptic myoclonus in 18 cases by the polyneurophysiological tests.
Conclusion:
(1) It is not reliable to identify myoclonus seizures and their clinical properties depending on their interictal and ictal EEGs only. (2) Polyneuroelectrophysiological tests, including EEG-EMG, JLA, and SSEP, seem to be valuable and useful to identify the generating locations and properties for different myoclonus in children.
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