ReviewRadiology2023
Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice.
Abstract readReview
In one paragraph
Review in Radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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.
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.
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Who cites it
11 citing papers in PubMed.
- Clinical Prediction of Functional Decline in Multiple Sclerosis Using Volumetry-Based Synthetic Brain Networks.Life (Basel, Switzerland) · 2026Article
- Cross-modality network phenotyping: a multivariate MRI biomarker signature predicts spatial pathology and clinical severity in EAE.Frontiers in neurology · 2026Article
- Contribution of white matter microstructure to diffusion tensor image analysis along perivascular space in obstructive sleep apnea.Japanese journal of radiology · 2025Article
- Influence of orientation, size and shape of the region of interest in diffusion MRI along perivascular spaces index.Magma (New York, N.Y.) · 2025Article
- From diagnosis to treatment: exploring the mechanisms underlying optic neuritis in multiple sclerosis.Journal of translational medicine · 2025Review
- MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile phone use.Frontiers in neuroscience · 2025Article
- Cerebellar-limbic dysregulation and sensorimotor network alterations in male primary insomnia: a resting-state functional magnetic resonance imaging study.Frontiers in human neuroscience · 2025Article
- Diffusion Tensor Image Analysis ALong the Perivascular Space (DTI-ALPS): Revisiting the Meaning and Significance of the Method.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- MRI as a biomarker of the smouldering component of multiple sclerosis: time to wake up.European radiology · 2024Article
- Longitudinal changes in the ALPS index and its clinical correlates in patients with basal ganglia hemorrhage.Frontiers in neurologyArticle
- Multiple sclerosis as a biological and clinical continuum: from risk factors to the early stages of disease.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Maria Assunta RoccaFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0003-2358-4320
Monica MargoniFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-9232-8964
Marco BattagliniFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).
Arman EshaghiFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).
Jeffrey IliffFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-6910-0080
Elisabetta PaganiFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-1850-1175
Paolo PreziosaFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-7826-0019
Loredana StorelliFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-4979-613X
Toshiaki TaokaFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0001-9227-0240
Paola ValsasinaFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0001-5390-2655
Massimo FilippiFrom the Neuroimaging Research Unit, Division of Neuroscience (M.A.R., M.M., E.P., P.P., L.S., P.V., M.F.), Neurology Unit (M.A.R., M.M., P.P., M.F.), Neurorehabilitation Unit (M.F.), and Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy (M.A.R., P.P., M.F.); Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy (M.B.); Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK (A.E.); Centre for Medical Image Computing, Department of Computer Science, University College London, London, UK (A.E.); VISN20 NW Mental Illness Research, Education, and Clinical Center, VA Puget Sound Healthcare System, Seattle, Wash (J.I.); Department of Psychiatry and Behavioral Sciences and Department of Neurology, University of Washington School of Medicine, Seattle, Wash (J.I.); and Department of Innovative Biomedical Visualization (iBMV), Department of Radiology, Nagoya University Graduate School of Medicine, Aichi, Japan (T.T.).ORCID 0000-0002-5485-0479
Funding
No grant is acknowledged in the PubMed record.
Abstract
MRI plays a central role in the diagnosis of multiple sclerosis (MS) and in the monitoring of disease course and treatment response. Advanced MRI techniques have shed light on MS biology and facilitated the search for neuroimaging markers that may be applicable in clinical practice. MRI has led to improvements in the accuracy of MS diagnosis and a deeper understanding of disease progression. This has also resulted in a plethora of potential MRI markers, the importance and validity of which remain to be proven. Here, five recent emerging perspectives arising from the use of MRI in MS, from pathophysiology to clinical application, will be discussed. These are the feasibility of noninvasive MRI-based approaches to measure glymphatic function and its impairment; T1-weighted to T2-weighted intensity ratio to quantify myelin content; classification of MS phenotypes based on their MRI features rather than on their clinical features; clinical relevance of gray matter atrophy versus white matter atrophy; and time-varying versus static resting-state functional connectivity in evaluating brain functional organization. These topics are critically discussed, which may guide future applications in the field.
Indexed as
Multiple SclerosisAtrophyBrainHumansMagnetic Resonance ImagingNeuroimaging
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