Evidence map›Paper›PMID 42834954›Full record

ReviewClinical neurophysiology practice2026

Emergent technologies in clinical neurophysiology to study the neuromuscular system: IFCN handbook chapter.

H Tankisi, H Bostock, L D Hobson-Webb, D Holder, J Howells, H Olausson, S B Rutkove, N Shahrizaila, W Z'Graggen, J Valls-Sole and 1 more

Abstract readReview
In one paragraph

Review in Clinical neurophysiology practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

H TankisiDepartment of Clinical Neurophysiology and Medicine, Aarhus University Hospital, Aarhus, Denmark.
H BostockDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, Queen Square, WC1N 3BG, London, United Kingdom.
L D Hobson-WebbDepartment of Neurology/Neuromuscular Division, Duke University Health System, Durham, NC, United States.
D HolderDepartment of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom.
J HowellsCentral Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
H OlaussonDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
S B RutkoveDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
N ShahrizailaDivision of Neurology, Department of Medicine, University of Malaya, Kuala Lumpur 50603, Malaysia.
W Z'GraggenDepartments Neurology and Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
J Valls-SoleIDIBAPS (Biomedical Research Institute August Pi i Sunyer), Barcelona, Spain.
J ColeDepartment of Clinical Neurophysiology, University Hospitals Dorset (Poole), UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present chapter of the new third series IFCN Handbook focuses on how peripheral neurophysiology may develop in the next five years or more. While some are clinical relevant, others are more experimental. The first three sections detail the possible futures of EMG, motor unit number estimation, surface EMG and movement. In a section on magnetoneurography, electrically induced signals are visualized in sensory nerves whilst that on magnetomyography shows how motor units may be identified in greater detail than with surface EMG. Electrical impedance methods for assessing nerve and muscle are considered, with the latter having been used clinically in several neurological conditions already. The section on microneurography describes how single nerve cells' response properties are related to RNA activity from dorsal root ganglion cells, leading to the identification of sixteen peripheral sensory nerve populations. Hyperexcitability syndromes can be difficult to diagnose, so nerve and muscle excitability testing, measuring membrane properties and ion channelopathies, shows clinical promise. The last section details ultrasound methods used in peripheral nerve and muscle disease and shows how ultrasound is becoming a necessary adjunct to nerve conduction studies and EMG. Common considerations between these methods' future include the greater use of artificial intelligence and that being non-invasive means they may be used for both diagnosis and long-term monitoring. Common barriers to wider availability include access to complex software and appropriate machines.

Indexed as

Axonal excitability testingElectrical impedance myographyElectrical impedance tomographyElectromyographyMicroneurographyMotor unit number estimationMuscle excitability testingNeuromuscular ultrasound

Identifiers

PMID42834954
PMCPMC13634781

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.