Evidence map›Paper›PMID 41835133›Full record

ArticleBrain communications2026

Linking movement-related beta oscillations to cortical excitability, structural damage, and fatigue in multiple sclerosis.

Elisa Tatti, Alberto Benelli, Alessandra Cinti, Rosa Cortese, Anna Serbina, Anna J Kulapurathazhe, Sophia Saed, Ludovico Luchetti, Javier Cudeiro, Jian Zhang and 17 more

Abstract read
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

27 authors.

Elisa TattiDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.ORCID https://orcid.org/0000-0002-7137-550X
Alberto BenelliDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0002-1483-4650
Alessandra CintiDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.
Rosa CorteseDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0002-9803-7914
Anna SerbinaDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.
Anna J KulapurathazheDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.
Sophia SaedDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.
Ludovico LuchettiDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Javier CudeiroDepartment of Physiotherapy, Medicine and Biomedical Sciences, NEUROcom (Neuroscience and Motor Control Group), Universidade da Coruña, Biomedical Institute of A Coruña (INIBIC), and Galician Brain Stimulation Center, A Coruña 15006, Spain.
Jian ZhangDepartment of Mental Health, The First Affiliated Hospital, Guangxi Medical University, Nanning 530021, China.ORCID https://orcid.org/0000-0001-8820-3248
Anna de MauroDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Francesco NeriDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.
Maria Laura StromilloDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Tommaso Lisini BaldiDepartment of Information Engineering and Mathematics, University of Siena, Siena 53100, Italy.
Nicole d'AurizioDepartment of Information Engineering and Mathematics, University of Siena, Siena 53100, Italy.
Marco BattagliniDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Domenico PlantoneDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Delia RighiDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Elisa MassuccoDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.
Alessandro GiannottaDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.
Francesco LomiDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.
Adriano ScocciaDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.
Giuseppe LaiGoldsmiths, University of London, London SE14 6NW, UK.ORCID https://orcid.org/0009-0006-4499-212X
Monica UlivelliDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.
Maria Felice GhilardiDepartment of Molecular, Cellular and Biomedical Sciences, City University of NewYork, School of Medicine, New York, NY 10031, United States.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0003-4930-7639
Simone RossiDepartment of Medicine, Surgery and Neuroscience, Siena Brain Investigation and Neuromodulation Lab (Si-BIN Lab), Unit of Neurology and Clinical Neurophysiology, University of Siena, Siena 53100, Italy.ORCID https://orcid.org/0000-0001-6697-9459

Funding

Research Center in Minority Institutions (RCMI) at City CollegeU54MD017979 · NIMHD · CITY COLLEGE OF NEW YORK · PI M. Felice Marina GHILARDI · 2024 to 2026
$15.9M
NIMHD NIH HHS U54 MD017979
6 · The paper itself

Abstract

Fatigue is one of the most disabling symptoms of multiple sclerosis (MS), yet its neurobiology remains unclear, and there are no objective biomarkers. Previous studies using electroencephalography alone have revealed altered movement-related beta Event-Related Desynchronization (ERD) and Synchronization (ERS) dynamics in fatigued patients, but without providing mechanistic insight. In this cross-sectional study, we combined electroencephalography with transcranial magnetic stimulation, structural magnetic resonance imaging with diffusion tensor imaging (DTI), and clinical measures to probe the mechanistic basis of movement-related beta modulation depth (ERS-ERD) and its link with fatigue. Based on the Fatigue Severity Scale score (FSS), we enrolled 41 relapsing-remitting MS patients, 19 with clinically significant fatigue, 22 without (aged 25-55 years, 25 females), alongside 18 age- and sex-matched healthy volunteers. Participants underwent neuropsychological assessment, blood sampling for inflammatory and neurodegeneration-related biomarkers, structural magnetic resonance imaging with DTI to assess grey and white matter integrity, transcranial magnetic stimulation to quantify cortical excitatory and inhibitory balance, and continuous electroencephalography during 300 cued pinch movements to characterize movement-related beta dynamics. Compared with non-fatigued patients and healthy volunteers, fatigued patients exhibited reduced beta peak ERD to ERS modulation (

Indexed as

beta ERD/ERSbeta oscillationsEEGfatiguemultiple sclerosis

Identifiers

PMID41835133
PMCPMC12980577

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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.