Evidence map›Paper›PMID 31402622›Full record

ArticleAnnals of clinical and translational neurology2019

Regional motor cortex dysfunction in amyotrophic lateral sclerosis.

Parvathi Menon, Con Yiannikas, Matthew C Kiernan, Steve Vucic

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% of its field
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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Clinical utility and prospective of TMS-EEG: Updated review from an international expert group.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Review
  6. Article
  7. Article
  8. Abnormalities of cortical stimulation strength-duration time constant in amyotrophic lateral sclerosis.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Clinical diagnostic utility of transcranial magnetic stimulation in neurological disorders. Updated report of an IFCN committee.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Review
  13. Article
  14. Amyotrophic lateral sclerosis.Lancet (London, England) · 2022
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  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

4 authors at 1 institution in 1 country.

Parvathi MenonWestmead Hospital, Sydney, New South Wales, Australia.ORCID 0000-0001-6935-5852
Con YiannikasUniversity of Sydney, Sydney, New South Wales, Australia.
Matthew C KiernanUniversity of Sydney, Sydney, New South Wales, Australia.
Steve VucicWestmead Hospital, Sydney, New South Wales, Australia.
The University of Sydney · AU

Funding

Beryl Bayley FellowshipNational Health and Medical Research Council of Australia 1024915National Health and Medical Research Council of Australia 1037746National Health and Medical Research Council of Australia 1055778National Health and Medical Research Council of Australia 510233National Health and Medical Research Council of Australia GIA 1726Stanford Family MND Research Grantthe Motor Neuron Disease Research Institute of Australia
6 · The paper itself

Abstract

objectiveThe pathophysiological processes underlying amyotrophic lateral sclerosis (ALS) need to be better understood, although cortical dysfunction has been implicated. Previous transcranial magnetic stimulation (TMS) studies have assessed cortical dysfunction from the hand. The aim of the present study was to determine whether cortical dysfunction was evident across representations of three body regions, and to relate these changes to clinical features of ALS.

methodsIn this cross-sectional study, threshold tracking TMS was undertaken in 60 sporadic ALS patients, with motor evoked potential (MEP) responses recorded over the hand (abductor pollicis brevis), lower limb (tibialis anterior), and bulbar (trapezius) regions. The cross-sectional findings were compared to 28 age- and gender-matched controls.

resultsCortical dysfunction was evident across the representation of the three body regions, although the degree and nature of the dysfunction varied. Cortical hyperexcitability, as heralded by reduced short interval intracortical inhibition (SICI), was evident in all cortical regions (hand, P < 0.01; leg, P < 0.05; bulbar, P < 0.05) in ALS patients when compared with healthy control subjects. Importantly, features of cortical hyperexcitability seemed more prominent in clinically affected body regions and correlated with functional disability and muscle weakness. Cortical inexcitability was more prominent in the leg (P < 0.001) and bulbar regions (P < 0.01) when compared with controls.

interpretationThe nature of cortical dysfunction varied across the body regions in ALS, with cortical hyperexcitability being more prominent in the upper limbs while cortical inexcitability was more evident in the lower limbs and bulbar regions. The findings suggest a heterogeneity of cortical pathophysiological processes in ALS.

Indexed as

AdultAgedAged, 80 and overAmyotrophic Lateral SclerosisCross-Sectional StudiesEvoked Potentials, MotorFemaleHandHealthy VolunteersHumansLower ExtremityMaleMiddle AgedMotor CortexSuperficial Back MusclesTranscranial Magnetic Stimulation

Identifiers

PMID31402622
PMCPMC6689694
OpenAlexW2954485709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.