Evidence map›Paper›PMID 42282906›Full record

ArticleClinical parkinsonism & related disorders2026

Recent advances in clinical neurophysiology of myoclonus.

Talyta Grippe, Benedetta Angeloni, Amitabh Bhattacharya, Robert Chen

Abstract read
In one paragraph

Article in Clinical parkinsonism & related disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Talyta GrippeDivision of Neurology, Department of Medicine, University of British Columbia Okanagan, Kelowna, BC, Canada.
Benedetta AngeloniEdmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.
Amitabh BhattacharyaKrembil Research Institute, University Health Network, Toronto, ON, Canada.
Robert ChenEdmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in clinical neurophysiology have transformed the understanding and assessment of myoclonus. Neurophysiological techniques have made it possible to identify the neural generators of myoclonus and have provided the foundation for modern classification systems that integrate clinical phenomenology with physiological mechanisms. Many of these developments were shaped by the work of several research groups worldwide, with major influence from the contributions of Professor Mark Hallett. His studies helped to establish the central role of neurophysiology in the investigation of myoclonus. Through careful neurophysiological experiments and clinical observations, his work clarified the mechanisms underlying cortical and brainstem myoclonus and contributed substantially to the characterization of functional jerks. This review summarizes current approaches to the clinical neurophysiological evaluation of myoclonus and outlines the evolution of classification systems leading to the recent consensus framework proposed by the International Association of Parkinsonism and Related Disorders. Key neurophysiological techniques used in clinical practice are discussed, and emerging quantitative approaches, including machine-learning of neurophysiological signals, are also highlighted as potential tools to improve diagnostic precision and standardization in the evaluation of myoclonus.

Indexed as

Back-averagingBereitschaftpotentialEEG-EMGMyoclonusNeurophysiology

Identifiers

PMID42282906
PMCPMC13251705

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.