Evidence map›Paper›PMID 36324989›Full record

ReviewClinical neurophysiology practice2022

Myoclonus and other jerky movement disorders.

Sterre van der Veen, John N Caviness, Yasmine E M Dreissen, Christos Ganos, Abubaker Ibrahim, Johannes H T M Koelman, Ambra Stefani, Marina A J Tijssen

Abstract readReview
In one paragraph

Review in Clinical neurophysiology practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Recent advances in clinical neurophysiology of myoclonus.Clinical parkinsonism & related disorders · 2026
    Article
  7. Action tremor and myoclonus as possible early markers in neuroinvasive West nile virus infection: a case series from the 2025 campania outbreak.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  8. Article
  9. Article
  10. Benign Idiopathic Myoclonus: A New Clinical Entity?Movement disorders clinical practice · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Clinical Utility of Neurophysiologic Classification (and Declassification) of Myoclonus.Movement disorders : official journal of the Movement Disorder Society · 2024
    Article
  15. Substantiating the Short Burst Duration in Cortical Myoclonus.Movement disorders : official journal of the Movement Disorder Society · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sterre van der VeenDepartment of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands.
John N CavinessDepartment of Neurology, Mayo Clinic Arizona, Movement Neurophysiology Laboratory, Scottsdale, AZ, USA.
Yasmine E M DreissenDepartment of Neurosurgery, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Christos GanosMovement Disorders and Neuromodulation Unit, Department of Neurology, Charité University Medicine Berlin, Berlin, Germany.
Abubaker IbrahimDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Johannes H T M KoelmanDepartment of Neurology and Clinical Neurophysiology, Amsterdam University Medical Centers, Amsterdam, The Netherlands.
Ambra StefaniDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Marina A J TijssenDepartment of Neurology, University of Groningen, University Medical Centre Groningen (UMCG), Groningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myoclonus and other jerky movements form a large heterogeneous group of disorders. Clinical neurophysiology studies can have an important contribution to support diagnosis but also to gain insight in the pathophysiology of different kind of jerks. This review focuses on myoclonus, tics, startle disorders, restless legs syndrome, and periodic leg movements during sleep. Myoclonus is defined as brief, shock-like movements, and subtypes can be classified based the anatomical origin. Both the clinical phenotype and the neurophysiological tests support this classification: cortical, cortical-subcortical, subcortical/non-segmental, segmental, peripheral, and functional jerks. The most important techniques used are polymyography and the combination of electromyography-electroencephalography focused on jerk-locked back-averaging, cortico-muscular coherence, and the Bereitschaftspotential. Clinically, the differential diagnosis of myoclonus includes tics, and this diagnosis is mainly based on the history with premonitory urges and the ability to suppress the tic. Electrophysiological tests are mainly applied in a research setting and include the Bereitschaftspotential, local field potentials, transcranial magnetic stimulation, and pre-pulse inhibition. Jerks due to a startling stimulus form the group of startle syndromes. This group includes disorders with an exaggerated startle reflex, such as hyperekplexia and stiff person syndrome, but also neuropsychiatric and stimulus-induced disorders. For these disorders polymyography combined with a startling stimulus can be useful to determine the pattern of muscle activation and thus the diagnosis. Assessment of symptoms in restless legs syndrome and periodic leg movements during sleep can be performed with different validated scoring criteria with the help of electromyography.

Indexed as

Deep Brain StimulationEEGEMGLocal field potentialsMyoclonusNeurophysiologyPLMSRLSStartleTicsTourette disorderTranscranial Magnetic Stimulation

Identifiers

PMID36324989
PMCPMC9619152

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.