Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

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Multiple sclerosis (MS) is the most common demyelinating disease of the central nervous system and affects almost 3 million people worldwide. There is currently no cure for MS, and its symptoms, starting with fatigue and weakness, often progress over time ...

Background: Patients suffering from functional neurological disorder (FND) experience disabling neurological symptoms not caused by an underlying classical neurological disease (such as stroke or multiple sclerosis). The diagnosis is made based on reliable ...

Objectives Fluid and white matter suppression (FLAWS) is a recently proposed magnetic resonance sequence derived from magnetization-prepared 2 rapid acquisition gradient-echo providing 2 coregistered datasets with white matter- and cerebrospinal fluid-supp ...

BACKGROUND: Objective mobility goals for elderly hospitalised medical patients remain debated. We therefore studied steps parameters of elderly patients hospitalised for an acute illness, to determine goals for future interventional trials and medical prac ...

Quantification of mobility is the key to monitor the progression of mobility disorders as well as the effect of an intervention. Inertial measurement units (IMUs) with dedicated algorithms can quantify postural transitions and gait as the two key aspects o ...

Background: Modifications in brain function remain relatively unexplored in progressive multiple sclerosis (PMS), despite their potential to provide new insights into the pathophysiology of the disease at this stage. Objectives: To characterize the dynamic ...

Gait speed often referred as the sixth vital sign is the most powerful biomarker of mobility. While a clinical setting allows the estimation of gait speed under controlled conditions that present functional capacity, gait speed in real-life conditions prov ...

Objectives In multiple sclerosis (MS), the presence of a paramagnetic rim at the edge of non-gadolinium-enhancing lesions indicates perilesional chronic inflammation. Patients featuring a higher paramagnetic rim lesion burden tend to have more aggressive d ...

The presence of cortical lesions in multiple sclerosis patients has emerged as an important biomarker of the disease. They appear in the earliest stages of the illness and have been shown to correlate with the severity of clinical symptoms. However, cortic ...

Background: Cerebellar pathology occurs in late multiple sclerosis (MS) but little is known about cerebellar changes during early disease stages. In this study, we propose a new multicontrast “connectometry” approach to assess the structural and functional ...

Introduction. Local microstructural pathology in multiple sclerosis patients might influence their clinical performance. This study applied multicontrast MRI to quantify inflammation and neurodegeneration in MS lesions. We explored the impact of MRI-based ...

Conventional magnetic resonance imaging (MRI) of patients with multiple sclerosis provides only limited insights into the nature of brain tissue damage with modest clinical-radiological correlations. In this study, quantitative and semi-quantitative MRI te ...

Imaging the connectome in vivo has become feasible through the integration of several rapidly developing fields of science and engineering, namely magnetic resonance imaging and in particular diffusion MRI on one side, image processing and network theory o ...

Resting state functional connectivity is defined as correlations in brain activity measured by functional magnetic resonance imaging without any stimulation paradigm. Such connectivity is dynamic, even over the course of minutes, and the development of too ...

Notwithstanding its great success in diagnostic routine and research, structural magnetic resonance imaging (MRI) still faces challenges. In this context, the present thesis studies new approaches to mitigate the motion susceptibility of MRI. Furthermore, ...

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

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Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Multi-centre classification of functional neurological disorders based on resting-state functional connectivity

3-Dimensional Fluid and White Matter Suppression Magnetic Resonance Imaging Sequence Accelerated With Compressed Sensing Improves Multiple Sclerosis Cervical Spinal Cord Lesion Detection Compared With Standard 2-Dimensional Imaging

Steps parameters of elderly patients hospitalised for an acute medical illness in a Swiss University Hospital: an observational pilot study

Toward an objective assessment of mobility in clinical and daily activity settings

Altered anterior default mode network dynamics in progressive multiple sclerosis

Gait speed in clinical and daily living assessments in Parkinson’s disease patients: performance versus capacity

RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis

Multiple sclerosis cortical and WM lesion segmentation at 3T MRI: a deep learning method based on FLAIR and MP2RAGE

Multicontrast connectometry: A new tool to assess cerebellum alterations in early relapsing‐remitting multiple sclerosis

Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis

Multicontrats MRI Improved the Clinico-Radiological Correlation in Early Multiple Sclerosis Patients with Minor Deficits

Structural connectomics in brain diseases

Functional Connectivity Eigennetworks Reveal Different Brain Dynamics In Multiple Sclerosis Patients

Structural Magnetic Resonance Imaging : Motion Correction and Improvement Strategies