Evidence map›Paper›PMID 41420375›Full record

Trial reportMultiple sclerosis (Houndmills, Basingstoke, England)2026

Contribution of structural and functional MRI in predicting response to motor training in multiple sclerosis.

Tetsu Morozumi, Paolo Preziosa, Alessandro Meani, Elisabetta Pagani, Paola Valsasina, Chiara Arezzo, Francesco Romanò, Matteo Albergoni, Massimo Filippi, Maria A Rocca

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Multiple sclerosis (Houndmills, Basingstoke, England), 2026. 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

10 authors.

Tetsu MorozumiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.ORCID 0000-0001-6931-4110
Paolo PreziosaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-7826-0019
Alessandro MeaniNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-8189-0452
Elisabetta PaganiNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Paola ValsasinaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Chiara ArezzoNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Francesco RomanòNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Matteo AlbergoniNeuroimaging 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; Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5485-0479
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-2358-4320

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAerobic training is a promising rehabilitation strategy in multiple sclerosis (MS). However, individual responses to exercise vary.

objectivesTo assess whether baseline demographic, clinical, and MRI features in MS patients predict response to aerobic or non-aerobic training.

methodsEighty-eight MS patients were randomized to 24-session aerobic (

resultsThirty-four MS patients (aerobic = 20, non-aerobic = 14) were responders. Predictors of treatment response were corticospinal tract (CST) and middle cerebellar peduncle (MCP) fractional anisotropy in the aerobic group and superior cerebellar peduncle (SCP) mean diffusivity in the non-aerobic group. SCP, MCP, and CST diffusivity metrics predicted training response in whole MS cohort. Repeated cross-validation confirmed identified predictors relevance (median area under the curve from 0.648 to 0.672).

conclusionMicrostructural integrity of motor-related WM tracts predicts training response in MS, highlighting the role of neuroimaging in identifying patients likely to benefit from rehabilitation.

Indexed as

Exercise TherapyMagnetic Resonance ImagingMultiple SclerosisOutcome Assessment, Health CareAdultFemaleHumansMaleMiddle AgedWhite Matteraerobic trainingmotor functionMRIMultiple sclerosisrehabilitation

Identifiers

PMID41420375
PMCPMC12756515

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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.