NCT03723356

Linking Cognitive Functioning to Multimodal Imaging in Multiple Sclerosis (MS)

Linking Cognitive Functioning to Multimodal Imaging in Multiple Sclerosis

• Status: Terminated
• Phase: —
• Study type: Observational
• Enrollment: 6 (actual)
• Sponsor: NYU Langone Health · Academic / Other
• Sex: All
• Age: 18 Years – 45 Years
• Healthy volunteers: Accepted

Summary

Multiple sclerosis (MS) is the most common progressive neurologic disorder to occur in adults of working-age. Despite longstanding recognition of cognitive impairment as a symptom of MS, two obstacles in measurement have limited understanding its biological basis, and therefore identifying targeted options for management. First is the absence of a sensitive and precise measure of cognitive impairment. Second is the absence of an index of disease status linked to brain pathophysiology and cognitive performance. This project overcomes both obstacles to link cognitive impairment to MS disease biomarkers. The absence of a sensitive and precise measure of cognitive impairment, along with the absence of an index of disease status linked to brain pathophysiology and cognitive performance, limits the understanding of the biological basis for multiple sclerosis (MS). This project overcomes both obstacles to link cognitive function to MS disease biomarkers, and provides preliminary evaluation of a disease modifying therapy (Tecfidera) for preserving cognitive function.

Conditions

• Multiple Sclerosis
• Cognition Disorders

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Siemens Biograph mMR (molecular MR)	5mCi of the radiotracer FDG administered intravenously as a bolus over 30s. After injection, emission data will be collected for 60 min,
DIAGNOSTIC_TEST	fMRI	High-resolution T1-weighted structural image will be acquired using an MP2RAGE sequence. Subject will beasked to look at the cross hair on a screen andnot fixate on any one thought.
DIAGNOSTIC_TEST	Diffusion Spectrum Imaging (DSI)	DSI allows for more accurate characterization of diffusion,overcomes traditional dMRI artifacts, and is capable of more precise and detailedcharacterization of white matter fibers

Timeline

• Start date: 2018-07-01
• Primary completion: 2021-01-09
• Completion: 2021-01-09
• First posted: 2018-10-29
• Last updated: 2021-03-26

Locations

1 site across 1 country: United States