Evidence map›Paper›PMID 40488178›Full record

ArticleBrain communications2025

Encephalography cross-frequency coupling and brain alteration in amyotrophic lateral sclerosis.

Cristina Benetton, Arnaud Preuilh, Mohammed Khamaysa, Maximilien Chaumon, Alexandra Lackmy-Vallée, Alper Er, Mélanie Pélégrini-Issac, Giorgia Querin, Caroline Rouaux, Pierre-François Pradat and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in Brain communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03694132 (Evaluation and Characterization of Infraclinical Sensory Deficits in Amyotrophic Lateral Sclerosis by Brain Imaging and Electrophysiology), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT03694132 nacompletednot on this map

Evaluation and Characterization of Infraclinical Sensory Deficits in Amyotrophic Lateral Sclerosis by Brain Imaging and Electrophysiology

TypeinterventionalSponsorInstitut National de la Santé Et de la Recherche Médicale, FranceRan2018 to 2021Enrolled52ConditionsAmyotrophic Lateral SclerosisArmsfunctional MRI, structural MRI, EEG/MEG
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Cristina BenettonSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Arnaud PreuilhSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Mohammed KhamaysaSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Maximilien ChaumonSorbonne Université, Inserm, CNRS, Institut du Cerveau, ICM, Paris 75013, France.
Alexandra Lackmy-ValléeSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Alper ErSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Mélanie Pélégrini-IssacSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.ORCID https://orcid.org/0000-0003-3260-5795
Giorgia QuerinSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Caroline RouauxUniversité de Strasbourg, Inserm UMRS 1329, Strasbourg Translational Neuroscience and Psychiatry (STEP), Centre de Recherche en Biomédecine de Strasbourg  Strasbourg 67000, France.ORCID https://orcid.org/0000-0002-5724-2903
Pierre-François PradatSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.
Véronique Marchand-PauvertSorbonne Université, Inserm, CNRS, Laboratoire d'Imagerie Biomédicale, LIB, Paris 75006, France.ORCID https://orcid.org/0000-0002-0226-7169

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of amyotrophic lateral sclerosis requires identifying degeneration in both brain and bulbospinal motor neurons. However, detecting cortical dysfunction remains challenging, as peripheral symptoms often overshadow upper motor neuron signs. Although transcranial magnetic stimulation and MRI are valuable tools, transcranial magnetic stimulation is challenged as disease progresses but also at early stage in some patients, and brain MRI shows in most cohorts no significant change at the time of diagnosis. This emphasizes the need for neuromarkers facilitating detection of cortical dysfunction and longitudinal monitoring. EEG offers promising avenues. Accordingly, we recently identified altered theta-gamma phase-amplitude coupling in amyotrophic lateral sclerosis. The present study aimed to further explore phase-amplitude coupling in patients, focusing not only on theta and gamma bands but also on alpha and beta bands, and the link with handedness and brain structure. Resting-state EEG was recorded in 26 patients with amyotrophic lateral sclerosis and 26 age- and sex-matched controls, alongside anatomical and diffusion MRI. PAC was calculated between slow and gamma oscillations at five sensorimotor electrodes bilaterally. Grey and white matter integrity was evaluated through cortical thickness measurements and diffusion metrics along the corticospinal tract. Results revealed significantly decreased theta-gamma PAC in the dominant hemisphere of patients, without changes in band powers or other frequency couplings. MRI confirmed well-known handedness-related brain structural asymmetry in both groups, although it was less pronounced in patients. Specifically, diffusion metrics were altered in the most caudal segment (brainstem level) of the pyramidal tract within the dominant hemisphere in patients. These findings align with lateralized theta-gamma PAC alterations and the greater vulnerability of the dominant hemisphere to amyotrophic lateral sclerosis. No correlation was found between electrophysiological and diffusion metrics, likely because they are related to different mechanisms: PAC alteration being presumably linked to excitation/inhibition imbalance preceding upper motor neuron degeneration. Moreover, theta-gamma PAC was found to be particularly altered in patients with altered cognitive scores, consistent with previous findings in patients with mild cognitive impairment. Lastly, receiver operating characteristic analyses demonstrated that PAC outperformed diffusion MRI in diagnostic accuracy, underscoring its potential as a very sensitive marker of cortical dysfunction in amyotrophic lateral sclerosis. Although these results need validation in a larger cohort at different stages of the disease and across different forms (sporadic and familial), they confirm that PAC can detect cortical dysfunctions in amyotrophic lateral sclerosis.

Indexed as

cerebral atrophycortical excitabilityEEGMRIphase amplitude coupling

Identifiers

PMID40488178
PMCPMC12141747

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Registered trials

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.