A5048113582- Multiple Sclerosis Research Studies
- Advanced Neuroimaging Techniques and Applications
- Systemic Lupus Erythematosus Research
- Functional Brain Connectivity Studies
- Ultrasound Imaging and Elastography
- Dementia and Cognitive Impairment Research
- Bioinformatics and Genomic Networks
- Rheumatoid Arthritis Research and Therapies
- Radiomics and Machine Learning in Medical Imaging
- Alzheimer's disease research and treatments
- Neuroinflammation and Neurodegeneration Mechanisms
- Advanced MRI Techniques and Applications
- Graphene and Nanomaterials Applications
- Machine Learning in Healthcare
- Genetic Neurodegenerative Diseases
- Neurological diseases and metabolism
- Neurogenesis and neuroplasticity mechanisms
- Peripheral Neuropathies and Disorders
- Nanoparticle-Based Drug Delivery
- Viral Infections and Immunology Research
- Ultrasound and Hyperthermia Applications
- Systemic Sclerosis and Related Diseases
- RNA regulation and disease
- Cell Image Analysis Techniques
- Neurological disorders and treatments
Queen Mary University of London
2019-2025
University College London
2016-2025
National Hospital for Neurology and Neurosurgery
2013-2025
Semnan University
2025
Iran University of Science and Technology
2023-2025
Kaohsiung Medical University
2024-2025
The London College
2025
University College Lahore
2024
National Institute for Health Research
2016-2024
Tehran University of Medical Sciences
2011-2023
Objective Gray matter (GM) atrophy occurs in all multiple sclerosis (MS) phenotypes. We investigated whether there is a spatiotemporal pattern of GM that associated with faster disability accumulation MS. Methods analyzed 3,604 brain high‐resolution T1‐weighted magnetic resonance imaging scans from 1,417 participants: 1,214 MS patients (253 clinically isolated syndrome [CIS], 708 relapsing‐remitting [RRMS], 128 secondary‐progressive [SPMS], and 125 primary‐progressive [PPMS]), over an...
See Stankoff and Louapre (doi:10.1093/brain/awy114) for a scientific commentary on this article. Grey matter atrophy is present from the earliest stages of multiple sclerosis, but its temporal ordering poorly understood. We aimed to determine sequence in which grey regions become atrophic sclerosis association with disability accumulation. In longitudinal study, we included 1417 subjects: 253 clinically isolated syndrome, 708 relapsing-remitting 128 secondary-progressive 125...
Abstract Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these are unclear, limiting treatment stratification. Machine learning identify groups with similar features using multidimensional data. Here, to classify MS subtypes pathological features, we apply unsupervised machine brain MRI scans acquired in previously published studies. We use a training dataset from 6322 patients define MRI-based and an independent...
Abstract The clinical course of relapse-onset multiple sclerosis is highly variable. Demographic factors, features and global brain T2 lesion load have limited value in counselling individual patients. We investigated early MRI predictors key long-term outcomes including secondary progressive sclerosis, physical disability cognitive performance, 15 years after a clinically isolated syndrome. A cohort patients with syndrome (n = 178) was prospectively recruited within 3 months disease onset...
Progression independent of relapse activity (PIRA), a recent concept to formalize disability accrual in multiple sclerosis (MS) relapses, has gained popularity as potential clinical trial outcome. We discuss its shortcomings and appraise the challenges implementing it settings, experimental trials, research. The current definition PIRA assumes that acute inflammation, which can manifest relapse, neurodegeneration, manifesting progressive accrual, be disentangled by introducing specific time...
Objective During the natural course of multiple sclerosis (MS), brain is exposed to aging as well disease effects. Brain can be modeled statistically; so‐called “brain‐age” paradigm. Here, we evaluated whether brain‐predicted age difference (brain‐PAD) was sensitive presence MS, clinical progression, and future outcomes. Methods In a longitudinal, multicenter sample 3,565 magnetic resonance imaging (MRI) scans, in 1,204 patients with MS clinically isolated syndrome (CIS) 150 healthy controls...
Abstract This study introduces a novel microwave‐assisted combustion method for synthesizing AlFeO 3 perovskite, promising catalyst environmental remediation. The synthesized perovskite was characterized using various techniques: FT‐IR, XRD, XRF, BET, VSM, EDAX, DRS, Raman, and FE‐SEM. optimal operating conditions Rhodamine B(RhB), Remazol Golden Yellow RNL (RGY), α‐lipoic acid (ALA) ultrasonic degradation processes were established (30, 15, 20 mg/L), (5, 5, 9), (1.00, 1.75, 1.50 g/L),...
Cognitive dysfunction is common in multiple sclerosis (MS) and validated batteries are limited languages other than English. We aimed to translate, cross-culturally adapt, validate, assess reliability of Minimal Assessment Function MS (MACFIMS) Persian. The MACFIMS a well-constructed battery the literature. was adapted Persian accordance with available guidelines. A total 158 patients 90 controls underwent neuropsychological assessment. For assessment re-administered subset 41 after short...
<h3>Objective:</h3> We tested whether brain gray matter (GM) imaging measures can differentiate between multiple sclerosis (MS) and neuromyelitis optica (NMO) using random-forest classification. <h3>Methods:</h3> Ninety participants (25 patients with MS, 30 NMO, 35 healthy controls [HCs]) were studied in Tehran, Iran, 54 (24 20 10 HCs) Padua, Italy. Participants underwent T1 T2/fluid-attenuated inversion recovery MRI. Volume, thickness, surface of 50 cortical GM regions volumes the deep...
Accurate prediction of progression in subjects at risk Alzheimer's disease is crucial for enrolling the right clinical trials. However, a prospective comparison state-of-the-art algorithms predicting onset and currently lacking. We present findings "The Disease Prediction Of Longitudinal Evolution" (TADPOLE) Challenge, which compared performance 92 from 33 international teams future trajectory 219 individuals disease. Challenge participants were required to make prediction, each month 5-year...
Progressive disorders are highly heterogeneous. Symptom-based clinical classification of these may not reflect the underlying pathobiology. Data-driven subtyping and staging patients has potential to disentangle complex spatiotemporal patterns disease progression. Tools that enable this in high demand from treatment-development communities. Here we describe pySuStaIn software package, a Python-based implementation Subtype Stage Inference (SuStaIn) algorithm. SuStaIn unravels complexity...
Objective In multiple sclerosis (MS), MRI measures at the whole brain or regional level are only modestly associated with disability, while network-based emerging as promising prognostic markers. We sought to demonstrate whether data-driven patterns of covarying grey matter (GM) volumes predict future disability in secondary progressive MS (SPMS). Methods used cross-sectional structural MRI, and baseline longitudinal data Expanded Disability Status Scale, Nine-Hole Peg Test (9HPT) Symbol...
Abstract Cognitive impairment (CI) in multiple sclerosis (MS) is only partially explained by whole-brain volume measures, but independent component analysis (ICA) can extract regional patterns of damage grey matter (GM) or white (WM) that have proven more closely associated with CI. Pathology GM and WM occurs parallel, so span both. This study assessed whether joint-ICA features better cognitive function compared to single-tissue ICA. 89 people MS underwent testing magnetic resonance...
<title>Abstract</title> In this study, a new phospho-molybdic Kiggin-type polyoxometalate supported on silica-coated Fe3O4 nanoparticles (FS/PMo) with core-shell structure was prepared, and for detection of catalyst, XRD, FTIR, TEM, EDX, VSM were applied. The catalyst found to be excellent efficient remove dibenzothiophene (DBT) by using hydrogen peroxide as the oxidant. main operational parameters including dosage temperature, molar ratio H2O2 DBT in reaction medium assessed process,...
Abstract Magnetic resonance imaging (MRI) biomarkers are vital for multiple sclerosis (MS) clinical research and trials but quantifying them requires multi-contrast protocols limits the use of abundant single-contrast hospital archives. We developed MindGlide, a deep learning model to extract brain region white matter lesion volumes from any single MRI contrast. trained MindGlide on 4247 scans 2934 MS patients across 592 scanners, externally validated it using 14,952 1,001 in two...
Grey matter (GM) atrophy occurs early in primary progressive MS (PPMS), but it is unknown whether its progression involves different brain regions at rates, as seen other neurodegenerative diseases. We aimed to investigate the temporal and regional evolution of GM volume loss over 5years relationship with disability PPMS. studied 36 patients PPMS within five years from onset 19 age gender-matched healthy controls clinical imaging assessments study entry yearly for 3years then 5years....
Neuromyelitis optica (NMO) exhibits substantial similarities to multiple sclerosis (MS) in clinical manifestations and imaging results has long been considered a variant of MS. With the advent specific biomarker NMO, known as anti-aquaporin 4, this assumption changed; however, differential diagnosis remains challenging it is still not clear whether combination neuroimaging data could be used aid decision-making. Computer-aided rapidly evolving process that holds great promise facilitate...