Primary Progressive Multiple Sclerosis Clinical Trial
Official title:
Investigating Cortical Gray Matter Demyelination in Primary Progressive Multiple Sclerosis at 7 Tesla
NCT number | NCT04977622 |
Other study ID # | A40219 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | November 30, 2021 |
Est. completion date | December 2024 |
Progressive-onset multiple sclerosis (PPMS) occurs in about 15% of all people living with MS. PPMS remains understudied, and most disease-modifying treatments are ineffective for PPMS. To date, it is unknown why some people progress immediately from MS onset. The present study will assess the role of gray matter in PPMS by characterizing it with ultra-high field magnetic resonance imaging (MRI). While both white and gray matter are affected in relapsing MS, in PPMS tissue damage is primarily in the cortex. Cortical gray matter consists largely of neuronal cell bodies, which send electrical signals to create a functional response, such as arm or leg movement. While white matter damage slows the signal response, cortical damage inhibits the initial creation of electrical signals. There is a great need to research and develop scientific biomarkers to identify and monitor progression and repair in PPMS. In this project, 7 Tesla MRI is used to investigate the cortical gray matter in people with PPMS. 7 Tesla MRI is the safest and most detailed way to study the brain. Because the cortex is only a few millimeters thick, it has been traditionally difficult to investigate. At 7 Tesla, different layers and lesions within the cortex can be seen. In addition, this project will use myelin-sensitive MRI to determine the biological underpinnings of both cortical lesions and the 'normal appearing' cortical damage in PPMS. This will answer relevant questions about the brain's capacity for repair, the extent of demyelination and the occurrence of inherent cortical remyelination and provides an avenue for the development of novel clinical MR biomarkers tailored to PPMS.
Status | Recruiting |
Enrollment | 60 |
Est. completion date | December 2024 |
Est. primary completion date | June 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | PATIENTS Inclusion Criteria: - Diagnosed with primary progressive multiple sclerosis - Expanded Disability Status Scale of = 6.5 - No clinical relapse within last three months - Have the ability to comply with all requirements of the study protocol, as determined by the investigator Exclusion Criteria: - Pregnancy - Pacemaker or other implanted electronic devices - Claustrophobia - Psychiatric disorder - Administration of acute cortisol - Changes in pharmacological treatment within the last 3 months - Any contraindication to MRI - Persons who do not wish to be informed about abnormal findings as part of the investigations HEALTHY CONTROLS Inclusion Criteria: - Able bodied - Have the ability to comply with all requirements of the study protocol, as determined by the investigator Exclusion Criteria: - Pregnancy - Under medication at the time of the experiment (with the exception of contraceptive drugs) - History of neurologic disease - Pacemaker or other implanted electronic devices - History of cerebral hemorrhage or brain damage - Claustrophobia - Psychiatric disorder - Any contraindication to MRI - Persons who do not wish to be informed about abnormal findings as part of the investigations |
Country | Name | City | State |
---|---|---|---|
Denmark | Danish Research Centre for Magnetic Resonance | Hvidovre |
Lead Sponsor | Collaborator |
---|---|
Danish Research Centre for Magnetic Resonance | Danish Multiple Sclerosis Center, Scleroseforeningen |
Denmark,
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* Note: There are 11 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Depression | Depression score from the Beck depression inventory II (BDI-II) questionnaire (range 0-63, lower being less depressed). | Baseline | |
Other | Fatigue | Fatigue will be assessed using the Fatigue Scale for Motor and Cognitive Functions (FSMC), 20 item questionnaire (10 motor, 10 cognitive items) with each item's response rated on a 5-point Likert scale. Lower scores indicate less fatigue. | Baseline | |
Other | Morphometric measures: Whole brain cortical volume and white matter lesion volume (covariate) | Volume of cortical gray matter and white matter lesion volume [cubic mm] derived from segmented MR images. | Baseline | |
Primary | Distribution of cortical lesions in PPMS | Three different types of cortical lesions will be quantified across all cortical areas (Leuko- and Intracortical, Subpial). Their number in each area will be compared to existing data of RRMS and SPMS patients. Most patients are expected to show cortical lesions. It will be assessed which areas of the cortex are affected earliest in PPMS. | Baseline | |
Primary | Volume of cortical lesions in PPMS | The volume of the different cortical lesion subtypes [in cubic mm] will be quantified and compared to lesion volumes in RRMS and SPMS patients. It will be assessed which type of damage, i.e. which of the three lesion types, drives motor and cognitive impairment using linear regression models. The investigators hypothesize that more extensive cortical demyelination will relate to lower/worse test scores. | Baseline | |
Primary | Identify central veins and the presence of paramagnetic rims for cortical lesions | Susceptibility-sensitive imaging data will be pre-processed as described in literature and co-registered with other anatomical MRI data. It will be assessed whether the location of veins or paramagnetic rims matches areas of already identified lesions. Although central veins have gained large attention in white matter lesions as an additional diagnostic criterium, their presence and role in cortical lesions is less well understood. Paramagnetic rims of MS lesions have been identified as highly relevant predictors of active disease progression. Their prevalence in PPMS [in %] will be assessed and relationships to clinical, behavioural and MRI metrics will be explored in mixed effects models that account for other patients specific (age, gender, disease duration, EDSS) or lesion-specific variables (volume, lesion subtype). | Baseline | |
Primary | Quantitative assessment of myelin density in cortical lesions, perilesional gray and white matter, and normal appearing cortex using myelin water imaging | On a group level, the myelin water fraction [in %] will be compared between cortical lesion subtypes and the normal appearing cortex. Lesions and normal appearing cortex are expected to have lower myelin density than cortical gray matter in non-neurological individuals. The variance in myelin density among lesions is expected to be high as various degrees of demyelination and remyelination may be present. Remyelination capacity of cortical lesions may be higher than in white matter lesions and thus myelin differences between cortical lesions and normal appearing cortex may be small. Myelin water fraction values will be assessed relative to clinical and behavioural metrics in mixed effects models. The investigators hypothesize that lower myelin densities, in addition to the volume of cortical demyelination, will relate to lower/worse test scores. | Baseline | |
Primary | Quantitative assessment of magnetization transfer in cortical lesions, perilesional gray and white matter, and normal appearing cortex | Similarly, magnetization transfer indices will be assessed between lesion subtypes, normal appearing cortex and compared to cortical gray matter in non-neurological individuals. Instead of assessing directly the relaxation times of different water environments, MT provides an indirect assessment of the interaction of mobile and bound protons. Here, the macromolecular bound pool signal fraction [in %] will be assessed relative to clinical and behavioural metrics in mixed effects models. The investigators hypothesize that smaller pool fractions, in addition to the volume of cortical demyelination, will relate to lower/worse test scores. | Baseline | |
Primary | Quantitative assessment of fractional anisotropy in cortical lesions, perilesional gray and white matter, and normal appearing cortex using diffusion tensor imaging data | Fractional anisotropy (FA) is a commonly used diffusion metric for the assessment of tightly packed, myelinated axons in white matter. FA and other diffusion metrics will be compared between the cortical lesion subtypes and the normal appearing cortex. On average, lower microstructural anisotropy is expected in lesions as a reflection of demyelination and partial axonal loss. FA values will be assessed relative to clinical and behavioural metrics in mixed effects models. The investigators hypothesize that lower FA, in addition to the volume of cortical demyelination, will relate to lower/worse test scores. | Baseline | |
Secondary | Number of cortical lesions in the primary sensorimotor cortex (SM1) | Quantified as cortical lesion number on a unihemispheric level. The extent of damage to the SM1 is unknown, but based on clinical symptoms of motor function up to 40% of patients are expected to show focal cortical lesions in this area. The relationship between SM1 cortical lesion numbers and other MRI metrics (e.g. white matter lesion load of the corticospinal tract, cortical myelination, cortical thickness, metabolite levels of SM1-HAND and diffusion metrics of the corticospinal tract) will be assessed. | Baseline | |
Secondary | Cortical lesion volume in the primary sensorimotor cortex (SM1) | Cortical lesion volume is assessed on a unihemispheric level. Due to variable lesion size, the extent of damage to the SM1 may be better captured in terms of volume [cubic mm] than lesion number. The relationship between SM1 cortical lesion volume and other MRI metrics (e.g. white matter lesion load of the corticospinal tract, cortical myelination, cortical thickness, metabolite levels of SM1-HAND and diffusion metrics of the corticospinal tract) will be assessed. | Baseline | |
Secondary | Motor function | Upper and lower limb motor performance are assessed by 9-hole peg test and timed 25-foot walk. The investigators anticipate relationships of these scores with white matter integrity of motor tracts in the brain (corticospinal tract) and spinal cord cross sectional area (assessed on 3D MPRAGE data). | Baseline | |
Secondary | Sensory acuity | Sensory acuity is assessed as part of the EDSS on a scale between 1 and 5. The investigators anticipate relationships of these scores with white matter integrity of sensory tracts in the brain (corticospinal tract) and spinal cord cross sectional area (assessed on 3D MPRAGE data). | Baseline | |
Secondary | Regional metabolite concentration of the SM1 | Measured as N-acetylaspartate (NAA) concentration derived from MRS of a 2x2x2 voxel of the primary sensorimotor hand area. The NAA concentration within a lesioned hemisphere is expected to be decreased and to correlate with motor function, sensory acuity and regional myelin density. In addition, glutamate will be assessed, which is expected to be lower in PPMS than in HCs, and myo-inositol, which has been reported to be increased in RRMS compared to HCs. All metabolite concentrations are measured in [mM]. | Baseline | |
Secondary | Functional MRI data for the assessment of temporal synchronization | A paradigm of finger movement paced by a visual cue will be used in a fMRI experiment to measure temporal synchronization as a proxy of sensorimotor organization and cortical myelination. The investigators anticipate reduced synchronization with higher EDSS and lower myelin density. | Baseline | |
Secondary | Cognitive performance and relationship to MRI measures (Exploratory) | Cognitive performance related to information processing speed and encoding, recall and recognition is assessed using the symbol digit modalities test (SDMT) and the California Verbal Learning Test (CVLT II). In an exploratory analysis, it will be assessed if cognitive performance scores relate to myelin changes in specific areas of the brain, both in gray and white matter, and whether there is a relationship with cortical lesion load. | Baseline |
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