Evidence map›Paper›PMID 42621007›Full record

ArticleBrain communications2026

Investigating the association between grey matter hypoperfusion and atrophy in multiple sclerosis using arterial spin labelling.

Ilaria Boscolo Galazzo, Marco Castellaro, Francesca Benedetta Pizzini, Francesco Crescenzo, Michael Amann, Sarmad Al-Araji, Barbara Bellenberg, Alessia Bianchi, Frederik Barkhof, Rosa Cortese and 20 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. Not yet cited in PubMed.

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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

30 authors.

Ilaria Boscolo GalazzoDepartment of Engineering for Innovation Medicine, University of Verona, 37134 Verona, Italy.ORCID https://orcid.org/0000-0002-4153-3749
Marco CastellaroDepartment of Information Engineering, University of Padova, 35131 Padova, Italy.ORCID https://orcid.org/0000-0002-1203-2670
Francesca Benedetta PizziniDepartment of Engineering for Innovation Medicine, University of Verona, 37134 Verona, Italy.
Francesco CrescenzoMultiple Sclerosis Centre-Neurology Unit, 'Mater Salutis' Hospital, Azienda ULSS 9 Scaligera, 37122 Verona, Italy.ORCID https://orcid.org/0000-0003-1396-7774
Michael AmannMedical Image Analysis Center (MIAC) AG, 4054 Basel, Switzerland.
Sarmad Al-ArajiDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.
Barbara BellenbergRuhr University Bochum, St. Josef Hospital, Institute of Neuroradiology, 44791 Bochum, Germany.
Alessia BianchiDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.ORCID https://orcid.org/0000-0001-5541-5818
Frederik BarkhofDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.
Rosa CorteseDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.
Nicola De StefanoDepartment of Medicine, Surgery and Neuroscience, University of Siena, 53100 Siena, Italy.ORCID https://orcid.org/0000-0003-4930-7639
Christian EnzingerDepartment of Neurology, Medical University of Graz, 8036 Graz, Austria.
Massimo FilippiNeuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, 20132 Milan, Italy.ORCID https://orcid.org/0000-0002-5485-0479
Claudio GasperiniDepartment of Neurosciences, S. Camillo Forlanini, Hospital Rome, 00152 Rome, Italy.
Cristina GranzieraDepartment of Biomedical Engineering, Faculty of Medicine, Translational Imaging in Neurology (ThINk) Basel, University Hospital Basel and University of Basel, 4123 Basel, Switzerland.
Ludwig KapposDepartment of Biomedical Engineering, Faculty of Medicine, Translational Imaging in Neurology (ThINk) Basel, University Hospital Basel and University of Basel, 4123 Basel, Switzerland.
Carsten LukasRuhr University Bochum, St. Josef Hospital, Institute of Neuroradiology, 44791 Bochum, Germany.
Gloria MenegazDepartment of Engineering for Innovation Medicine, University of Verona, 37134 Verona, Italy.
Jacqueline PalaceDepartment of Clinical Neurology, Nuffield Department of Clinical Neurosciences, University of Oxford, OX39DU Oxford, United Kingdom.
Marco PitteriDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.ORCID https://orcid.org/0000-0001-8093-4548
Maria A RoccaNeuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico San Raffaele Scientific Institute, 20132 Milan, Italy.ORCID https://orcid.org/0000-0003-2358-4320
Alex RoviraDepartment of Radiology, Section of Neuroradiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain.ORCID https://orcid.org/0000-0002-2132-6750
Jaume Sastre-GarrigaCentre d'Esclerosi Múltiple de Catalunya (Cemcat), Servei de Neurologia, Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'Hebron, 08035 Barcelona, Spain.ORCID https://orcid.org/0000-0002-1589-2254
Agnese TamantiDepartment of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, 37134 Verona, Italy.
Hugo VrenkenDepartment of Radiology & Nuclear Medicine, Amsterdam University Medical Center, Vrije Universiteit, 1081 Amsterdam, the Netherlands.
Matthias WeigelDepartment of Biomedical Engineering, Faculty of Medicine, Translational Imaging in Neurology (ThINk) Basel, University Hospital Basel and University of Basel, 4123 Basel, Switzerland.ORCID https://orcid.org/0000-0002-4910-1414
Marios C YiannakasDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.
Tarek YousryNeuradiolological Academic Unit, BRR, UCL, WC1N3BG London, UK.
Olga CiccarelliDepartment of Neuroinflammation, Faculty of Brain Sciences, Queen Square MS Centre, UCL Queen Square Institute of Neurology, University College London, WC1N3BG London, UK.ORCID https://orcid.org/0000-0001-7485-1367
Massimiliano CalabreseDepartment of Neurosciences and Biomedicine and Movement, The Multiple Sclerosis Center of University Hospital of Verona, 37134 Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of grey matter (GM) perfusion abnormalities in multiple sclerosis (MS) is gaining increasing interest, thanks to the recent developments in MRI techniques such as arterial spin labelling (ASL). Previous studies in small mixed cohorts have demonstrated reduced perfusion in different GM regions in patients with MS compared with controls, especially in the frontal/parietal lobes and deep GM. In this multi-centre study, we aimed to investigate the relationship between ASL-perfusion patterns and GM atrophy in a large cohort of MS patients. We hypothesized that GM hypoperfusion is a phenomenon not wholly associated with the presence of structural atrophy. Therefore, we have evaluated whether GM perfusion changes are directly explained by underlying atrophy or occur in the absence of detectable GM tissue loss. Moreover, the relationship between clinical (physical and cognitive) measures and global GM perfusion level was assessed. Conventional structural and pseudo-continuous ASL data were acquired using 3T MRI scanners and a standardized protocol in four European MS centres. We included in the analysis 170 subjects [96 relapsing-remitting MS (RRMS), 41 primary-progressive MS (PPMS) and 33 healthy controls (HC)] that exhibited acceptable data quality and compatible acquisition schemes/ASL maps. Global and regional cerebral blood flow (CBF) patterns were explored to identify group differences, statistically controlling for 'morphometric covariates' (i.e. total brain volume, cortical thickness or subcortical volume) along with age, sex, disease duration and total T2-lesion load in the analysis of covariance ('basic covariates'). Similarly, partial correlation analyses were performed to assess the association of global CBF with physical (Expanded Disability Status Scale) and cognitive (Symbol Digit Modalities Test) scores. Global GM CBF values were lower in RRMS (64.1 ± 20.9 mL/100 g/min) and PPMS (52.9 ± 16.1 mL/100 g/min) compared with HC (78.5 ± 21.1 mL/100 g/min), with significant differences for both MS types compared with controls using both sets of covariates (p

Indexed as

arterial spin labellingatrophyMRImultiple sclerosisperfusion

Identifiers

PMID42621007
PMCPMC13487631

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