Multiple sclerosis diagnosis using machine learning and deep learning: challenges and opportunities

N Aslam, IU Khan, A Bashamakh, FA Alghool… - Sensors, 2022 - mdpi.com
Multiple Sclerosis (MS) is a disease that impacts the central nervous system (CNS), which
can lead to brain, spinal cord, and optic nerve problems. A total of 2.8 million are estimated …

Structural and functional connectivity substrates of cognitive impairment in multiple sclerosis

J Zhang, R Cortese, N De Stefano, A Giorgio - Frontiers in neurology, 2021 - frontiersin.org
Cognitive impairment (CI) occurs in 43 to 70% of multiple sclerosis (MS) patients at both
early and later disease stages. Cognitive domains typically involved in MS include attention …

Applying multilayer analysis to morphological, structural, and functional brain networks to identify relevant dysfunction patterns

J Casas-Roma, E Martinez-Heras… - Network …, 2022 - direct.mit.edu
In recent years, research on network analysis applied to MRI data has advanced
significantly. However, the majority of the studies are limited to single networks obtained …

Current review and next steps for artificial intelligence in multiple sclerosis risk research

M Hartmann, N Fenton, R Dobson - Computers in Biology and Medicine, 2021 - Elsevier
In the last few decades, the prevalence of multiple sclerosis (MS), a chronic inflammatory
disease of the nervous system, has increased, particularly in Northern European countries …

Robustness of brain structural networks is affected in cognitively impaired MS patients

H Farooq, C Lenglet, F Nelson - Frontiers in neurology, 2020 - frontiersin.org
The robustness of brain structural networks, estimated from diffusion MRI data, may be
relevant to cognition. We investigate whether measures of network robustness, such as …

Diffusion-based structural connectivity patterns of multiple sclerosis phenotypes

E Martinez-Heras, E Solana, F Vivó… - Journal of Neurology …, 2023 - jnnp.bmj.com
Background We aimed to describe the severity of the changes in brain diffusion-based
connectivity as multiple sclerosis (MS) progresses and the microstructural characteristics of …

Microscopic fractional anisotropy outperforms multiple sclerosis lesion assessment and clinical outcome associations over standard fractional anisotropy tensor

F Vivó, E Solana, A Calvi, E Lopez‐Soley… - Human Brain …, 2024 - Wiley Online Library
We aimed to compare the ability of diffusion tensor imaging and multi‐compartment
spherical mean technique to detect focal tissue damage and in distinguishing between …

Retinal Damage and Visual Network Reconfiguration Defines Visual Function Recovery in Optic Neuritis

P Villoslada, E Solana, S Alba-Arbalat… - Neurology …, 2024 - neurology.org
Background and Objectives Recovery of vision after acute optic neuritis (AON) is critical to
improving the quality of life of people with demyelinating diseases. The objective of the study …

Can cognitive training reignite compensatory mechanisms in advanced multiple sclerosis patients? An explorative morphological network approach

J Frieske, D Pareto, A García-Vidal, K Cuypers… - Neuroscience, 2022 - Elsevier
Multiple Sclerosis (MS) has been shown to significantly impair brain connectivity, as
alterations in functional and structural networks have been identified and associated with …

Resting-state Graph Theory Metrics Predict Processing Speed and Correlate with Disease Burden in Relapsing-Remitting Multiple Sclerosis

A Shankar - 2021 - rave.ohiolink.edu
Multiple Sclerosis is a common, neurodegenerative disorder characterized by the
accumulation of gray and white matter lesions within the central nervous system and …