Evidence map›Paper›PMID 41307737›Full record

ArticleJournal of neurology2025

Functional connectivity changes are associated with disability progression in multiple sclerosis: a longitudinal fMRI study.

Claudia Piervincenzi, Abhineet Ojha, Silvia Tommasin, Federica Satriano, Nikolaos Petsas, Antonio Gallo, Alessandro d'Ambrosio, Nicola De Stefano, Rosa Cortese, Paola Valsasina and 6 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. 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

16 authors.

Claudia PiervincenziDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy. claudia.piervincenzi@uniroma1.it.ORCID http://orcid.org/0000-0002-7732-2062
Abhineet OjhaDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Silvia TommasinDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Federica SatrianoDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Nikolaos PetsasSchool of Medical Statistics and Biometry, Dept of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Antonio GalloDepartment of Advanced Medical and Surgical Sciences, and 3 T MRI‑Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
Alessandro d'AmbrosioDepartment of Advanced Medical and Surgical Sciences, and 3 T MRI‑Center, University of Campania "Luigi Vanvitelli", Naples, Italy.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Rosa CorteseDepartment of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.
Paola ValsasinaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Nicolò TedoneNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Carlo PozzilliDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Patrizia PantanoDepartment of Human Neurosciences, Sapienza University of Rome, Rome, Italy.
INNI Network

Funding

Fondazione Italiana Sclerosi Multipla 2023/S/1
6 · The paper itself

Abstract

backgroundResting-state functional connectivity (FC) alterations in people with multiple sclerosis (PwMS) have been hypothesized to reflect either adaptive or maladaptive plasticity. Investigating FC longitudinal evolution and its relationship with disability progression can help clarify this issue. This study examined 5-year FC changes in pwMS and their clinical relevance.

methodsFrom the Italian Neuroimaging Network Initiative database, we included 156 pwMS with two clinical visits and 3T-MRI scans acquired on the same scanner 4-6 years apart. Clinical/neuropsychological visits included the Expanded Disability Status Scale (EDSS), Nine-Hole Peg Test (9HPT), Timed 25-Foot Walk Test (T25FWT), Paced Auditory Serial Addition Test (PASAT3), and Symbol Digit Modalities Test (SDMT). One hundred fifty-six age- and sex-matched healthy subjects (HS) with baseline MRI and the same tests were also included. Based on the EDSS, pwMS were divided into three groups: low disability (0-1.5; N = 78), mild disability (2-3.5; N = 50), and high disability (≥ 4; N = 28). Resting-state networks (RSNs) were identified using independent component analysis. Baseline and longitudinal FC changes were correlated with baseline and follow-up clinical/neuropsychological measures.

resultsAt baseline, the low-disability group showed significantly higher FC in all RSNs (FDR-corrected p < 0.05) compared to HS, which correlated with better baseline scores (SDMT, T25FWT) and less worsening at follow-up (PASAT3, 9HPT). The mild- and high-disability groups exhibited mixed FC abnormalities, with both higher and lower FC than HS in several RSNs. In the mild-disability group, higher FC was associated with worse baseline scores (SDMT, T25FWT) and greater clinical worsening (PASAT3, 9HPT, T25FWT). In the high-disability group, higher sensorimotor baseline FC correlated only with worse baseline 9HPT. Longitudinally, all RSNs showed FC increase in the low-disability group, but a FC decrease in the other groups. FC increases in the low-disability group generally correlated with better clinical outcome (T25FWT), while FC decreases in the mild-disability group correlated with clinical worsening (9HPT, T25FWT).

conclusionsFC increases appear to reflect compensatory mechanisms in low-disability pwMS, while in more disabled patients, FC alterations likely represent maladaptive responses. These findings support resting-state FC as a biomarker for monitoring disease progression and treatment response in MS.

Indexed as

BrainConnectomeMultiple SclerosisNerve NetAdultDisability EvaluationDisease ProgressionFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedMagnetic resonance imaging (MRI)Multiple sclerosis (MS)Resting-state functional MRI (fMRI)

Identifiers

PMID41307737
PMCPMC12660332

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.