Evidence map›Paper›PMID 40896928›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2025

Intermuscular coherence from muscle pairs in the leg as a biomarker for amyotrophic lateral sclerosis.

Naoum P Issa, Serdar Aydin, Elena Badillo Goicoechea, Nathan Carberry, Mark A Garret, Sean Smith, Ali A Habib, Betty Soliven, Kourosh Rezania

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2025. 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

9 authors.

Naoum P IssaUniversity of Chicago Medical Center, United States. Electronic address: naoum.issa@bsd.uchicago.edu.
Serdar AydinUniversity of Chicago Medical Center, United States.
Elena Badillo GoicoecheaUniversity of Chicago Medical Center, United States.
Nathan CarberryUniversity of Miami, United States.
Mark A GarretMassachusetts General Hospital, United States.
Sean SmithWashington University, United States.
Ali A HabibUniversity of California, Irvine, United States.
Betty SolivenUniversity of Chicago Medical Center, United States.
Kourosh RezaniaUniversity of Chicago Medical Center, United States.

Funding

Intermuscular coherence: A novel biomarker for upper motor neuron dysfunction in ALSR01NS116262 · NINDS · UNIVERSITY OF CHICAGO · PI ISSA, NAOUM P, REZANIA, KOUROSH · 2021 to 2025
$3.0M
NINDS NIH HHS R01 NS116262
6 · The paper itself

Abstract

objectiveTo evaluate the diagnostic potential of intermuscular coherence (IMC) measured from leg muscle pairs as an early-stage biomarker for amyotrophic lateral sclerosis (ALS).

methodsSurface electromyography (sEMG) was recorded in neurotypical subjects and patients with early-stage ALS from muscle pairs: gastrocnemius lateralis-gastrocnemius medialis (GLGM), tibialis anterior-extensor digitorum brevis (TAED), and vastus lateralis-vastus medialis (VLVM). IMC within the 20-40 Hz range (IMCβγ) and the imaginary component of coherency in the 20-40 Hz range (ICOHβγ) were calculated. Area under the receiver operating characteristic curves (AUC) was used to assess diagnostic performance.

resultsIMCβγ was lower in ALS patients than neurotypical subjects for all three muscle pairs (p < 0.05 in all cases). Diagnostic performance (AUC) ranged from 0.69 to 0.78 and was highest for TAED. Reducing the effect of volume conduction by using ICOHβγ tended to improve the diagnostic ability (AUC range 0.76 to 0.84).

conclusionsIMCβγ from leg muscles, particularly TAED, can help differentiate early-stage ALS patients from neurotypical individuals. ICOHβγ further improves diagnostic performance by reducing volume conduction artifacts. SIGNIFICANCE: Leg muscle IMC measurements could aid in the early and accurate diagnosis of ALS.

Indexed as

Amyotrophic Lateral SclerosisLegMuscle, SkeletalAdultAgedBiomarkersElectromyographyFemaleHumansMaleMiddle AgedBiomarkersALScoherencyIMCsurface EMG

Identifiers

PMID40896928
PMCPMC12418393

What OpenQuestion holds

Textmetadata
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.