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Advanced techniques to study the physiopathology of multiple cclerosis (MS) using high and ultra-high field MRI

Applicant Granziera Cristina
Number 154508
Funding scheme Ambizione
Research institution Service de Neurologie Département des Neurosciences Cliniques CHUV
Institution of higher education University of Lausanne - LA
Main discipline Neurology, Psychiatry
Start/End 01.09.2014 - 29.02.2016
Approved amount 241'491.00
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All Disciplines (2)

Discipline
Neurology, Psychiatry
Molecular Biology

Keywords (6)

High field MRI; Multiple sclerosis; MS biomarkers; Clinico-radiologico-biological correlation; Neuroinflammation; Neurodegeneration

Lay Summary (French)

Lead
Prolongation de l'étude "IRM de pointe et à haute résolution pour étudier la physiopathologie de la sclérose en plaques"
Lay summary
Cette étude est une prolongation de 18 mois de l'étude "IRM de pointe et à haute résolution pour étudier la physiopathologie de la sclérose en plaques ».
Les deux buts de cette étude sont (i) évaluer la valeur prospective des données quantitatives en IRM, à travers l’établissement de valeurs de référence chez une cohorte de sujets sains (ii) de corréler les marqueurs IRM d'inflammation et neurodégénérescence, identifies dans la première partie de notre recherché, avec des marqueurs sérologiques de phénomènes inflammatoires et neurodégénératifs.
Direct link to Lay Summary Last update: 02.06.2014

Responsible applicant and co-applicants

Employees

Publications

Publication
Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI
Boillat Yohan, Bazin Pierre-Louis, O'Brien Kieran, Fartaria Mário João, Bonnier Guillaume, Krueger Gunnar, van der Zwaag Wietske, Granziera Cristina (2018), Surface-based characteristics of the cerebellar cortex visualized with ultra-high field MRI, in NeuroImage, 172, 1-8.
The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients
Bonnier Guillaume, Maréchal Benedicte, Fartaria Mário João, Falkowskiy Pavel, Marques José P., Simioni Samanta, Schluep Myriam, Du Pasquier Renaud, Thiran Jean-Philippe, Krueger Gunnar, Granziera Cristina (2017), The Combined Quantification and Interpretation of Multiple Quantitative Magnetic Resonance Imaging Metrics Enlightens Longitudinal Changes Compatible with Brain Repair in Relapsing-Remitting Multiple Sclerosis Patients, in Frontiers in Neurology, 8, 506.
A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation.
Bonnier Guillaume, Kober Tobias, Schluep Myriam, Du Pasquier Renaud, Krueger Gunnar, Meuli Reto, Granziera Cristina, Roche Alexis (2016), A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation., in PloS one, 11(2), 0148631-0148631.
Serum neurofilament light chain in early relapsing remitting MS is increased and correlates with CSF levels and with MRI measures of disease severity.
Kuhle Jens, Barro Christian, Disanto Giulio, Mathias Amandine, Soneson Charlotte, Bonnier Guillaume, Yaldizli Özguer, Regeniter Axel, Derfuss Tobias, Canales Mathieu, Schluep Myriam, Du Pasquier Renaud, Krueger Gunnar, Granziera Cristina (2016), Serum neurofilament light chain in early relapsing remitting MS is increased and correlates with CSF levels and with MRI measures of disease severity., in Multiple sclerosis (Houndmills, Basingstoke, England), 00.
White Matter MS-Lesion Segmentation Using a Geometric Brain Model.
Strumia Maddalena, Schmidt Frank, Anastasopoulos Constantin, Granziera Cristina, Krueger Gunnar, Brox Thomas (2016), White Matter MS-Lesion Segmentation Using a Geometric Brain Model., in IEEE transactions on medical imaging, 00.
Automated detection of white matter and cortical lesions in early stages of multiple sclerosis.
Fartaria Mário João, Bonnier Guillaume, Roche Alexis, Kober Tobias, Meuli Reto, Rotzinger David, Frackowiak Richard, Schluep Myriam, Du Pasquier Renaud, Thiran Jean-Philippe, Krueger Gunnar, Bach Cuadra Meritxell, Granziera Cristina (2015), Automated detection of white matter and cortical lesions in early stages of multiple sclerosis., in Journal of magnetic resonance imaging : JMRI, 00.
Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis.
Bonnier Guillaume, Roche Alexis, Romascano David, Simioni Samanta, Meskaldji Djalel Eddine, Rotzinger David, Lin Ying-Chia, Menegaz Gloria, Schluep Myriam, Du Pasquier Renaud, Sumpf Tilman Johannes, Frahm Jens, Thiran Jean-Philippe, Krueger Gunnar, Granziera Cristina (2015), Multicontrast MRI Quantification of Focal Inflammation and Degeneration in Multiple Sclerosis., in BioMed research international, 2015, 569123-569123.

Collaboration

Group / person Country
Types of collaboration
Dpt of Radiology, CHUV Switzerland (Europe)
- Research Infrastructure
Multiple Sclerosis Unit-Dpt of Neurology-CHUV Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Research Infrastructure
CIBM-EPFL Switzerland (Europe)
- Research Infrastructure
Immunology laboratory- Dpt of Infectious Diseases, CHUV Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
Neuroimmunology laboratory -Dpt Neurology-CHUV Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
Siemens-CIBM research core, EPFL Switzerland (Europe)
- in-depth/constructive exchanges on approaches, methods or results
- Publication
- Exchange of personnel
- Industry/business/other use-inspired collaboration

Associated projects

Number Title Start Funding scheme
131914 Advanced techniques to investigate the physiopathology of multiple sclerosis using high and ultra-high field MRI 01.09.2011 Ambizione

Abstract

The study “Advanced Techniques to Study the Physiopathology of Multiple Sclerosis (MS) Using High and Ultra-high field MRI” (SNF AMBIZIONE PZ00P3_131914) started in 09/2011 and is funded until 08/2014. The study has 3 main goals: 1.) to exploit advanced MRI techniques to characterize the alterations of the cerebellum in very early MS stages, 2.) to merge radiological MRI markers (scores) of cerebellar pathology with the alteration in the brain hemispheres cross-sectionally and longitudinally (2 years) and 3.) to combine the global radiological scores with the Epstein Barr Virus (EBV) biomarker. In short, the initial cross-sectional data have been acquired from all enrolled MS patients (n=45) and healthy controls (n=20). Currently, we are performing the second time-point assessment (24 ? 4 months) of all patients. As of today, three related papers have already been published (two original contributions and one review paper), three other original works have been submitted and two further papers are in preparation. Two preliminary reports of the manuscripts in work have been presented and/or accepted at international conferences. So far, the most important findings are the detection of (a) subtle tissue alterations that highly correlate with clinical performances in early MS and (b) early cerebellar connectivity alterations that strongly correlate with clinical outcome but are not reflected by conventional measures of disease. Although our results are first reports from a moderate sized patient cohort, the data proof the potential of advanced MRI to predict motor and cognitive performances in early MS.The future work will focus on achieving the remaining aims as outlined above: the longitudinal assessment and the correlation of radiological MRI scores with biological markers of disease.Interestingly, very recent literature states the importance of reference data in healthy population to judge the value of new techniques in longitudinal MS studies1 and increasingly advocates the need of data integration for biomarker validation in MS2,3.In this context, some additions to the current project would enable us to achieve an important milestone towards a solid validation of the employed imaging biomarkers. Specifically, this will be possible through (i) assessments of longitudinal MRI changes in healthy subjects (establishment of reference data) and (ii) measurements of serological markers of inflammation and neurodegeneration. We strongly believe that these simple extensions will provide additional important contributions to further explore and define the importance of advanced MRI as a non-invasive tool to monitor pathological brain changes and treatment efficiency even in early MS stages.
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