Evidence map›Paper›PMID 42879710›Full record

Observational studyNeurology(R) neuroimmunology & neuroinflammation2026

Functional and Structural Imaging Features of Cognitive Profiles in Multiple Sclerosis.

Kshiteeja Jain, Paola Valsasina, Damiano Mistri, Alessandro Meani, Paolo Preziosa, Massimo Filippi, Maria A Rocca

Abstract readObservational Study
In one paragraph

Observational study in Neurology(R) neuroimmunology & neuroinflammation, 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
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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

7 authors.

Kshiteeja JainNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-3353-6373
Paola ValsasinaNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-5390-2655
Damiano MistriNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0003-0765-1255
Alessandro MeaniNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0001-8189-0452
Paolo PreziosaNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-7826-0019
Massimo FilippiNeuroimaging Research Unit, Institute of Experimental Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5485-0479
Maria A RoccaNeuroimaging Research Unit, Institute of Experimental Neuroscience, 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

BACKGROUND AND

objectivesCognitive impairment affects 40%-70% of patients with multiple sclerosis (MS). Although recent hypothesis-driven and data-driven efforts have identified cognitive phenotypes, functional substrates underlying impairment in such phenotypes are still not clear. Our objective was to identify distinct cognitive phenotypes using clustering in a large cohort of patients with MS and characterize their associated clinical, structural MRI, and resting-state (RS) functional connectivity (FC) features.

methodsWe conducted an observational, cross-sectional study with right-handed patients with MS and age-matched and sex-matched healthy controls (HCs) who underwent neurologic and neuropsychological evaluation (Brief Repeatable Battery of Neuropsychological tests). Latent profile analysis on cognitive test Z-scores identified MS cognitive phenotypes. 3.0T MRI was used to derive atrophy measures and RS FC within default mode network (DMN I/II), executive control network (ECN), left/right fronto-parietal, language, and salience networks. Linear regression models compared structural MRI and RS FC across cognitive phenotypes and HCs, while polynomial contrasts assessed RS FC patterns across groups.

resultsThree hundred and sixty-nine patients with MS and 168 HCs were enrolled. Four cognitive phenotypes were detected: preserved cognition ([PC], n = 67[18.2%]), mild single-domain verbal fluency involvement (MSD-VF, n = 37[10.0%]), mild single-domain attention involvement (MSD-A, n = 197[53.4%]), and severe multidomain (SMD) involvement (SMD, n = 68[18.4%]). At corrected threshold, PC patients showed decreased deep gray matter (GM) volumes ( DISCUSSION: PC exhibited intact RS FC, whereas SMD presented widespread structural and DMN RS FC damage. These findings advance our understanding of cognitive heterogeneity in MS by revealing distinct structural and functional neuroimaging profiles across cognitive phenotypes, encouraging future longitudinal and multimodal investigations to improve disease characterization and prognostic stratification.

Indexed as

Cognitive DysfunctionConnectomeDefault Mode NetworkMultiple SclerosisNerve NetAdultCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID42879710
PMCPMC13676280

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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.