A5090701183- Multiple Sclerosis Research Studies
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Leprosy Research and Treatment
- Retinal and Optic Conditions
- Bayesian Methods and Mixture Models
- Advanced MRI Techniques and Applications
- Systemic Sclerosis and Related Diseases
- Dementia and Cognitive Impairment Research
- Medical Image Segmentation Techniques
- Vagus Nerve Stimulation Research
- Autoimmune Neurological Disorders and Treatments
- Long-Term Effects of COVID-19
- Image Processing Techniques and Applications
- Brain Tumor Detection and Classification
- Retinal Development and Disorders
- Systemic Lupus Erythematosus Research
- Ultrasound Imaging and Elastography
Universitat de Barcelona
2022-2025
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer
2022-2025
Hospital Clínic de Barcelona
2022-2023
Fundació Clínic per a la Recerca Biomèdica
2023
Biomedical Research Institute
2022
This study evaluated the efficacy of computerised Guttmann, NeuroPersonalTrainer® (GNPT) cognitive rehabilitation (CR) and characterised induced changes in cerebral networks patients with multiple sclerosis (MS). multicentre, double-blind, randomised clinical trial compared upward intensity training (active treatment) to low-intensity static (static treatment). Cognition was assessed using Brief Repeatable battery before after 12 weeks at 10-months follow-up, were classified as having a mild...
In recent years, research on network analysis applied to MRI data has advanced significantly. However, the majority of studies are limited single networks obtained from resting-state fMRI, diffusion MRI, or gray matter probability maps derived T1 images. Although a number previous have combined two these networks, none introduced framework combine morphological, structural, and functional brain connectivity networks. The aim this study was information, thus defining new multilayer...
The relationship between brain diffusion microstructural changes and disability in multiple sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of properties white (WM) grey matter (GM), identify areas associated with mid-term MS patients. studied 185 patients (71% female; 86% RRMS) Expanded Disability Status Scale (EDSS), timed 25-foot walk (T25FW), nine-hole peg test (9HPT), Symbol Digit Modalities Test (SDMT) at two time-points. used Lasso regression analyse...
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.
We aimed to compare the ability of diffusion tensor imaging and multi-compartment spherical mean technique detect focal tissue damage in distinguishing between different connectivity patterns associated with varying clinical outcomes multiple sclerosis (MS). Seventy-six people diagnosed MS were scanned using a SIEMENS Prisma Fit 3T magnetic resonance (MRI), employing both conventional (T1w fluid-attenuated inversion recovery) advanced MRI sequences from which fractional anisotropy (FA)...
Recovery of vision after acute optic neuritis (AON) is critical to improving the quality life people with demyelinating diseases. The objective study was prospectively assess changes in visual acuity, retinal layer thickness, and cortical network patients AON identify predictors permanent disability.
Background We investigated the association between changes in retinal thickness and cognition people with MS (PwMS), exploring predictive value of optical coherence tomography (OCT) markers neuroaxonal damage for global cognitive decline at different periods disease. Method quantified peripapillary nerve fibre (pRFNL) ganglion cell-inner plexiform (GCIPL) layers thicknesses 207 PwMS performed neuropsychological evaluations. The cohort was divided based on disease duration (≤5 years or >5...
Abstract Background 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. Methods Clinical information magnetic resonance images were collected from 221 healthy individuals 823 people at eight MAGNIMS centers. The patients divided into four clinical phenotypes: clinically isolated syndrome, relapsing-remitting,...
Abstract The relationship between brain diffusion microstructural changes and disability in multiple sclerosis (MS) remains poorly understood. We aimed to explore the predictive value of properties white (WM) grey matter (GM), identify areas associated with mid-term MS patients. studied 185 patients Expanded Disability Status Scale (EDSS), timed 25-foot walk (T25FW), nine-hole peg test (9HPT), Symbol Digit Modalities Test (SDMT) at two time-points. used machine learning analyse baseline WM...