ArticleNeuroImage. Clinical2019
Multiparameter MRI quantification of microstructural tissue alterations in multiple sclerosis.
Article in NeuroImage. Clinical, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.
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Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Iron accumulation in multiple sclerosis and implications for cognitive and clinical progression: a systematic review of advanced neuroimaging studies.Journal of neurology · 2026Pooled it
- Microstructure-informed deep learning improves thalamic atrophy segmentation and clinical associations in multiple sclerosis and related neuroimmunological diseases.NeuroImage. Clinical · 2026Article
- Multiple sclerosis as an asynchronous neuroinflammatory system.Frontiers in immunology · 2026Review
- Multimodal quantitative MRI finds early brain changes in asymptomatic X-linked adrenoleukodystrophy.Brain communications · 2026Article
- Towards quantitative intensity analysis of conventional T1-weighted images in multiple sclerosis.NeuroImage · 2025Article
- Sensitivity of multi-parametric quantitative magnetic resonance imaging for multiple sclerosis pathology.PloS one · 2025Article
- A quantitative multi-parameter mapping protocol standardized for clinical research in multiple sclerosis.Scientific reports · 2024Article
- Brain microstructure is linked to cognitive fatigue in early multiple sclerosis.Journal of neurology · 2024Article
- Quantitative TEuropean radiology · 2024Article
- Tumour-infiltrated cortex participates in large-scale cognitive circuits.Cortex; a journal devoted to the study of the nervous system and behavior · 2024Article
- Evaluation of the Blood-Brain Barrier, Demyelination, and Neurodegeneration in Paramagnetic Rim Lesions in Multiple Sclerosis on 7 Tesla MRI.Journal of magnetic resonance imaging : JMRI · 2024Article
- Longitudinal analysis of new multiple sclerosis lesions with magnetization transfer and diffusion tensor imaging.European radiology · 2024Article
- Beyond the division of multiple sclerosis into different subgroups: The Concept of Connectomopathy.Caspian journal of internal medicine · 2024Review
- Regional cortical thinning, demyelination and iron loss in cerebral small vessel disease.Brain : a journal of neurology · 2023Article
- Using quantitative magnetic resonance imaging to track cerebral alterations in multiple sclerosis brain: A longitudinal study.Brain and behavior · 2023Article
- Clinical feasibility and validation of the accelerated T2 mapping sequence GRAPPATINI in brain imaging.Heliyon · 2023Article
- Clinical and Research MRI Techniques for Assessing Spinal Cord Integrity in Degenerative Cervical Myelopathy-A Scoping Review.Biomedicines · 2022Article
- Mutation-related magnetization-transfer, not axon density, drives white matter differences in premanifest Huntington disease: Evidence from in vivo ultra-strong gradient MRI.Human brain mapping · 2022Article
- Longitudinal microstructural MRI markers of demyelination and neurodegeneration in early relapsing-remitting multiple sclerosis: Magnetisation transfer, water diffusion and g-ratio.NeuroImage. Clinical · 2022Article
- Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis.Brain communications · 2022Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesConventional MRI is not sensitive to many pathological processes underpinning multiple sclerosis (MS) ongoing in normal appearing brain tissue (NABT). Quantitative MRI (qMRI) and a multiparameter mapping (MPM) protocol are used to simultaneously quantify magnetization transfer (MT) saturation, transverse relaxation rate R2* (1/T2*) and longitudinal relaxation rate R1 (1/T1), and assess differences in NABT microstructure between MS patients and healthy controls (HC).
methodsThis prospective cross-sectional study involves 36 MS patients (21 females, 15 males; age range 22-63 years; 15 relapsing-remitting MS - RRMS; 21 primary or secondary progressive MS - PMS) and 36 age-matched HC (20 females, 16 males); age range 21-61 years). The qMRI maps are computed and segmented in lesions and 3 normal appearing cerebral tissue classes: normal appearing cortical grey matter (NACGM), normal appearing deep grey matter (NADGM), normal appearing white matter (NAWM). Individual median values are extracted for each tissue class and MR parameter. MANOVAs and stepwise regressions assess differences between patients and HC.
resultsMS patients are characterized by a decrease in MT, R2* and R1 within NACGM (p < .0001) and NAWM (p < .0001). In NADGM, MT decreases (p < .0001) but R2* and R1 remain normal. These observations tend to be more pronounced in PMS. Quantitative MRI parameters are independent predictors of clinical status: EDSS is significantly related to R1 in NACGM and R2* in NADGM; the latter also predicts motor score. Cognitive score is best predicted by MT parameter within lesions.
conclusionsMultiparametric data of brain microstructure concord with the literature, predict clinical performance and suggest a diffuse reduction in myelin and/or iron content within NABT of MS patients.
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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.