We are proposing software, based on machine learning, which analyzes the data gathered in a task-based functional magnetic resonance imaging (fMRI) at early stages of MS and in Relapsing-Remitting MS (RRMS) suffers. MS causes disruptions in the functional connectivity network of the brain which can be determined using brain network analyses. Our proposed solution examines the changes in brain functional connectivity topologies induced by a specific cognitive task performance requiring attention, working memory, and information processing speed. As a result, cognitive impairment can be detected and treated at the very early stages of MS

Our technology works in tandem with current MRI scanners. Your clinic would need the following resources and equipment in order for our technology to deliver its best results:


  • A 3.0 Tesla MRI scanner
  • Ear Plug
  • Communication Console
  • Subject head restraints
  • An 8-channel and a 32-channel coil
  • External PC for stimulus presentation
  • Response Grips
  • Audio System like a headphone
  • Sync Box

Identification of the cognitive impairments in the early stages of multiple sclerosis (MS) disease

A software based on the machinelearning system through analyzing cognitive taskrelated functional magnetic resonance imaging (fMRI) data

Assistant the practitioners and psychiatrists / psychologists to early diagnose the cognitive dysfunction and plan for therapeutic strategies sooner to prevent severe cognitive decline