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Microstructural and Sodium 7 Tesla Brain MRI in Idiopathic REM Sleep Behaviour Disorder

Not Applicable
Recruiting
Conditions
REM Sleep Behaviour Disorder
Interventions
Other: 7T MRI
Registration Number
NCT05976971
Lead Sponsor
Assistance Publique Hopitaux De Marseille
Brief Summary

By 2030 the number of patients with Parkinson's Disease (PD) would increase by 56% affecting 1 out of 120 people older than 45 years-old. It is known that 10-15 years before the onset motor symptoms such as tremor, rigidity and akinesia, patients often experience a specific sleep trouble called REM sleep behaviour disorder (RBD). Follow-up of those subjects showed there was a conversion rate to PD and related disorders (called synucleinopathies) over 80%.

The pathophysiology of RBD is poorly understood. The development of cutting-edge technologies such as 7 Tesla MRI and the optimisation of image processing methods made it possible to non-invasively explore in vivo small brain structures involved in sleep and movement disorders.

The investigators hypothesize that brain and brainstem microstructure, composition, sodium homeostasis and connectivity may change in 15 isolated RBD (iRBD) subjects compared with 15 healthy controls and that these changes may be correlated with clinical scores.

This study would help fill the gap in early diagnosis of synucleinopathies, by contributing to better targeting patients who could be included in therapeutic trials with a neuroprotective effect. Besides, the exploration of original pathophysiological pathways such as sodium homeostatis could provide the necessary arguments for the development of new target therapeutics.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
32
Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
Patients with REM Sleep Behaviour Disorder7T MRI-
Healthy volunteers7T MRI-
Primary Outcome Measures
NameTimeMethod
3D cartography difference of Fractional anisotropy between the iRBD and control subjectsTime of the Inclusion

Fractional anisotropy between 0 and 1

3D cartography difference of Mean diffusivity between the iRBD and control subjectsTime of the Inclusion

Mean diffusivity in mm2/s

3D cartography the rate of difference of atrophy between the idiopathic REM Sleep Behaviour Disorder (iRBD) and control subjectsTime of the Inclusion

Voxel based morphometry evaluated with Matlab and SnPM

3D cartography difference of neuromelanin between the iRBD and control subjects with T1 sequenceTime of the Inclusion

Neuromelanin contrast ratio

3D cartography difference of neuromelanin between the iRBD and control subjects with Magnetization transfert sequenceTime of the Inclusion

Magnetization transfert contrast ratio

3D cartography the rate of difference of Quantitative Susceptibility Mapping between the iRBD and control subjectsTime of the Inclusion

Iron load evaluation in ppb

Secondary Outcome Measures
NameTimeMethod
Rate of Dependency between MRI parameters and clinical scores/questionnairesTime of the Inclusion

Pearson, Spearman or logistic regression, depending on the blood pressure test and MRI parameters

3D cartography difference of total sodium concentration between the iRBD and control subjectsTime of the Inclusion

total sodium concentration in mmol/L acquired with a specificic MRI coil

3D cartography difference of structural brain connectivity between the iRBD and control subjectsTime of the Inclusion

A network-based statistics analysis will be performed: from Diffusion tensor imaging, a connectivity matrix will be populated for each subject. A t-test contrasting the two groups (iRBD and control subjects) will then be computed for each pairwise association. Finally, permutation testing will be used to ascribe a p-value controlled for the family-wise error rate to each connected component based on its size.

Rate of Dependency between MRI parameters and demographic dataTime of the Inclusion

Pearson, Spearman or logistic regression, depending on the laterality and MRI parameters

Rate of Dependency between MRI parameters and demographic data, clinical scores/questionnairesTime of the Inclusion

Pearson, Spearman or logistic regression, depending on the Pittsburgh sleep quality index and MRI parameters

Trial Locations

Locations (1)

Assistance - Publique Hôpitaux de Marseille

🇫🇷

Marseille, France

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