- Multiple Sclerosis Research Studies
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Systemic Lupus Erythematosus Research
- Peripheral Neuropathies and Disorders
- Advanced MRI Techniques and Applications
- Bone and Joint Diseases
- Retinal and Optic Conditions
- Ocular Diseases and Behçet’s Syndrome
- Systemic Sclerosis and Related Diseases
- Ultrasound and Hyperthermia Applications
- Rheumatoid Arthritis Research and Therapies
- Bioinformatics and Genomic Networks
- Neurogenesis and neuroplasticity mechanisms
- Health, Environment, Cognitive Aging
- Hereditary Neurological Disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- MRI in cancer diagnosis
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Gene expression and cancer classification
- RNA Research and Splicing
- Ultrasound Imaging and Elastography
- CNS Lymphoma Diagnosis and Treatment
- Genetics, Bioinformatics, and Biomedical Research
- Autoimmune Neurological Disorders and Treatments
Multiple Sclerosis Society
2025
National Hospital for Neurology and Neurosurgery
2019-2025
University College London
2016-2025
Queen Mary University of London
2019-2025
Luton and Dunstable University Hospital NHS Foundation Trust
2024
Universitat Autònoma de Barcelona
2023
University Hospital of Basel
2023
Carlo Forlanini Hospital
2023
Luton and Dunstable Hospital
2023
Vall d'Hebron Institut de Recerca
2023
The optic nerve is not one of the areas CNS that can be used to demonstrate dissemination in space (DIS) within 2017 McDonald criteria for diagnosis multiple sclerosis (MS). Objectives were (1) assess whether nerve-MRI (ON-MRI), optical coherence tomography (OCT), and visual evoked potentials (VEP) detect involvement clinically isolated syndrome (CIS) (2) evaluate contribution topography current diagnostic a prospective, multicenter cohort.
Although multiple sclerosis (MS) can be conceptualized as a network disorder, brain analyses typically require advanced MRI sequences not commonly acquired in clinical practice. Using conventional MRI, we assessed cross-sectional and longitudinal structural disconnection morphometric similarity networks people with MS (pwMS), along their relationship disability. In this monocentric study, 3T of pwMS healthy controls (HC) was retrospectively analyzed. Physical cognitive disabilities were the...
Background: Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because long acquisition times. We investigated neurodegeneration in MS cervical cord using neurite orientation dispersion density (NODDI). Objective: The aim this study was to investigate possible alterations, their clinical relevance, morphology along relapsing–remitting (RRMS) patients. Methods: In total, 28 RRMS patients 20...
The diagnosis of multiple sclerosis (MS) requires evidence both dissemination in space (DIS) and time (DIT); oligoclonal bands (OCBs) the CSF can substitute for DIT on MRI. We investigated whether (or positive CSF) is necessary to make a MS patients who fulfil high number DIS criteria. prospectively recruited with first demyelinating event evaluated brain spinal cord MRI within 3 months onset. were followed up clinically retrospectively applied criteria requiring lesions ≥2/4, ≥3/4, or 4/4...
In early multiple sclerosis, a clearer understanding of normal-brain tissue microstructural and metabolic abnormalities will provide valuable insights into its pathophysiology. We used multi-parametric quantitative MRI to detect alterations in brain tissues patients with their first demyelinating episode. acquired neurite orientation dispersion density imaging [to investigate morphology neurites (dendrites axons)] 23Na (to estimate total sodium concentration, reflection underlying changes...
Abstract Objective We investigated the effects of adding regions to current dissemination in space (DIS) criteria for multiple sclerosis (MS). Methods Participants underwent brain, optic nerve, and spinal cord MRI. Baseline DIS was assessed by 2017 McDonald versions including temporal lobe, or corpus callosum as a fifth region (requiring 2/5), version with all 3/7) nerve variations requiring 3/5 4/5 regions. Performance evaluated against MS diagnosis (2017 criteria) during follow‐up. Results...
Disentangling brain aging from disease-related neurodegeneration in patients with multiple sclerosis (PwMS) is increasingly topical. The brain-age paradigm offers a window into this problem but may miss disease-specific effects. In study, we investigated whether model might complement the gap (BAG) by capturing aspects unique to MS.
The identification of prognostic markers in early multiple sclerosis (MS) is challenging and requires reliable measures that robustly predict future disease trajectories. Ideally, such should make inferences at the individual level to inform clinical decisions. This study investigated value longitudinal structural networks 5-year Expanded Disability Status Scale (EDSS) progression patients with relapsing-remitting MS (RRMS). We hypothesized network measures, derived from MRI, outperform...
We present a case of 30-year-old man with relapsing-remitting multiple sclerosis who developed psoriasiform dermatitis following his second course ocrelizumab. This resolved topical therapies and discontinuation treatment. Cases rashes have been increasingly reported in the use ocrelizumab are possibly due to B-cell (CD20) depletion T-cell overregulation. Nevertheless, skin-related adverse reactions not yet considered risk management plans anti-CD20 treatments sclerosis.
Background: Compared to 1.5 T, 3 T magnetic resonance imaging (MRI) increases signal-to-noise ratio leading improved image quality. However, its clinical relevance in clinically isolated syndrome suggestive of multiple sclerosis remains uncertain. Objectives: The purpose this study was investigate how MRI affects the agreement between raters on lesion detection and diagnosis. Methods: We selected 30 patients 10 healthy controls from our ongoing prospective multicentre cohort. All subjects...
People with multiple sclerosis (MS) often present cognitive deficits that cannot fully be attributed to focal brain alterations. Whole-brain network changes show stronger relations, but MS insights have mostly focused on either structural or functional (single-layer) networks, while recent work has shown the importance of multilayer frontoparietal integration for cognition. Here, we explored relevance in relapsing-remitting (n=780) using diffusion and resting-state MRI. Cognitive relations...
We aimed to describe the severity of changes in brain diffusion-based connectivity as multiple sclerosis (MS) progresses and microstructural characteristics these networks that are associated with distinct MS phenotypes.
Background: Neurite orientation dispersion and density imaging (NODDI) the spherical mean technique (SMT) are diffusion MRI methods providing metrics with sensitivity to similar characteristics of white matter microstructure. There has been limited comparison changes in NODDI SMT parameters due multiple sclerosis (MS) pathology clinical settings. Purpose: To compare group-wise differences between healthy controls MS patients metrics, investigating associations disability correlations tensor...
Artificial intelligence (AI) is the branch of science aiming at creating algorithms able to carry out tasks that typically require human intelligence. In medicine, there has been a tremendous increase in AI applications thanks increasingly powerful computers and emergence big data repositories. Multiple sclerosis (MS) chronic autoimmune condition affecting central nervous system with complex pathogenesis, challenging diagnostic process strongly relying on magnetic resonance imaging (MRI)...
Background: The potential of multi-shell diffusion imaging to produce accurate brain connectivity metrics able unravel key pathophysiological processes in multiple sclerosis (MS) has scarcely been investigated. Objective: To test, patients with a clinically isolated syndrome (CIS), whether imaging-derived can differentiate from controls, correlate clinical measures, and perform better than obtained conventional single-shell protocols. Methods: Nineteen within 3 months the CIS 12 healthy...
Structural cortical networks (SCNs) represent patterns of coordinated morphological modifications in areas, and they present the advantage being extracted from previously acquired clinical magnetic resonance imaging (MRI) scans. SCNs have shown pathophysiological changes many brain disorders, including multiple sclerosis.To investigate alterations at individual level patients with clinically isolated syndrome (CIS), thereby assessing their relevance.We analyzed baseline data collected a...
Background: We assessed the ability of a brain-and-cord-matched quantitative magnetic resonance imaging (qMRI) protocol to differentiate patients with progressive multiple sclerosis (PMS) from controls, in terms normal-appearing (NA) tissue abnormalities, and explain disability. Methods: A total 27 16 controls were on Expanded Disability Status Scale (EDSS), 25-foot timed walk (TWT), 9-hole peg (9HPT) symbol digit modalities (SDMT) tests. All underwent 3T brain (C2-C3) cord structural qMRI...
Abstract Whilst multiple sclerosis (MS) can be conceptualized as a network disorder, brain analyses are typically dependent on advanced MRI sequences not commonly acquired in clinical practice. Here, we used conventional to assess cross-sectional and longitudinal modifications of structural disconnection morphometric similarity networks people with MS (pwMS), along their relationship disability. In this monocentric study, 3T scans pwMS healthy controls (HC) were retrospectively analysed....
MRI assessment in multiple sclerosis (MS) focuses on the presence of typical white matter (WM) lesions. Neurodegeneration characterised by brain atrophy is recognised research field as an important prognostic factor. It not routinely reported clinically, part due to difficulty achieving reproducible measurements. Automated quantification WM lesions and volume could provide clinical monitoring data. In general, lesion relies both T1 FLAIR input images, while tissue volumetry T1. However,...