[HTML][HTML] Quantitative map** of the brain's structural connectivity using diffusion MRI tractography: A review
Diffusion magnetic resonance imaging (dMRI) tractography is an advanced imaging
technique that enables in vivo reconstruction of the brain's white matter connections at …
technique that enables in vivo reconstruction of the brain's white matter connections at …
Graph theoretical framework of brain networks in multiple sclerosis: a review of concepts
Network science provides powerful access to essential organizational principles of the
human brain. It has been applied in combination with graph theory to characterize brain …
human brain. It has been applied in combination with graph theory to characterize brain …
Clinical implications of serum neurofilament in newly diagnosed MS patients: a longitudinal multicentre cohort study
Background We aim to evaluate serum neurofilament light chain (sNfL), indicating
neuroaxonal damage, as a biomarker at diagnosis in a large cohort of early multiple …
neuroaxonal damage, as a biomarker at diagnosis in a large cohort of early multiple …
Loss of consciousness reduces the stability of brain hubs and the heterogeneity of brain dynamics
A López-González, R Panda, A Ponce-Alvarez… - Communications …, 2021 - nature.com
Low-level states of consciousness are characterized by disruptions of brain activity that
sustain arousal and awareness. Yet, how structural, dynamical, local and network brain …
sustain arousal and awareness. Yet, how structural, dynamical, local and network brain …
Functional networks of the brain: from connectivity restoration to dynamic integration
A review of physical and mathematical methods for reconstructing the functional networks of
the brain based on recorded brain activity is presented. Various methods are considered, as …
the brain based on recorded brain activity is presented. Various methods are considered, as …
Prognostic value of single-subject grey matter networks in early multiple sclerosis
The identification of prognostic markers in early multiple sclerosis (MS) is challenging and
requires reliable measures that robustly predict future disease trajectories. Ideally, such …
requires reliable measures that robustly predict future disease trajectories. Ideally, such …
Graph theory-based brain connectivity for automatic classification of multiple sclerosis clinical courses
Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into
four clinical profiles using structural connectivity information. For the first time, we try to solve …
four clinical profiles using structural connectivity information. For the first time, we try to solve …
[HTML][HTML] Characterization of relapsing-remitting multiple sclerosis patients using support vector machine classifications of functional and diffusion MRI data
Multiple Sclerosis patients' clinical symptoms do not correlate strongly with structural
assessment done with traditional magnetic resonance images. However, its diagnosis and …
assessment done with traditional magnetic resonance images. However, its diagnosis and …
Dynamic modular-level alterations of structural-functional coupling in clinically isolated syndrome
Structural and functional connectivity abnormalities have been reported previously in
multiple sclerosis. However, little is known about how each modality evolution relates to the …
multiple sclerosis. However, little is known about how each modality evolution relates to the …
Network analysis in multiple sclerosis and related disorders
Multiple sclerosis (MS) is a neuroinflammatory and neurodegenerative disease of the central
nervous system that is increasingly conceptualized as a network disorder. 1, 2 While the …
nervous system that is increasingly conceptualized as a network disorder. 1, 2 While the …