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Published on: November 21, 2013
Myoclonus and other jerky movement disorders
Sterre van der Veen1,2, John N Caviness3, Yasmine E M Dreissen4
1Department of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands.
This review explores jerky movement disorders like myoclonus and tics. Clinical neurophysiology aids in diagnosing and understanding the pathophysiology of these conditions.
Area of Science:
- Neurology
- Clinical Neurophysiology
Background:
- Jerky movement disorders, including myoclonus and tics, represent a heterogeneous group of neurological conditions.
- Clinical neurophysiology plays a crucial role in diagnosing these disorders and elucidating their underlying pathophysiology.
Purpose of the Study:
- To review the diagnostic contributions of clinical neurophysiology for various jerky movement disorders.
- To focus on myoclonus, tics, startle disorders, restless legs syndrome, and periodic leg movements during sleep.
Main Methods:
- Classification of myoclonus subtypes based on anatomical origin, supported by clinical phenotype and neurophysiological tests.
- Key techniques include polymyography, electromyography-electroencephalography (EMG-EEG) with jerk-locked back-averaging, cortico-muscular coherence, and Bereitschaftspotential.
- Differential diagnosis of myoclonus from tics relies on history and electrophysiological tests like transcranial magnetic stimulation.
Main Results:
- Neurophysiological tests aid in classifying myoclonus into cortical, subcortical, segmental, peripheral, and functional types.
- Electrophysiology is vital for differentiating myoclonus from tics and diagnosing startle syndromes.
- Validated scoring criteria and EMG assist in assessing restless legs syndrome and periodic leg movements during sleep.
Conclusions:
- Clinical neurophysiology is indispensable for the diagnosis and pathophysiological understanding of diverse jerky movement disorders.
- Specific techniques like EMG-EEG and polymyography are critical for accurate diagnosis and classification.
- Further research using electrophysiological methods can enhance our understanding of these neurological conditions.
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