Clinical observation
Questions emerging from patient care help researchers focus on the problems that matter most.
Collaborative science
Our scientists and clinicians connect immune biology, glial biology, genetics, imaging, digital health, and patient-centered research to understand neurological disease and move promising ideas toward care.
How research moves here
The division’s strength is not a set of separate research categories. It is the exchange between laboratories, clinical programs, shared technologies, and the people living with the conditions we study.
Questions emerging from patient care help researchers focus on the problems that matter most.
Teams combine biological models, imaging, genetics, biomarkers, and data to test ideas from more than one angle.
Promising findings inform new measurements, therapies, and clinical studies—and the results generate the next questions.
Research network
Visit each team’s website for its people, scientific focus, methods, opportunities, and latest work.
A multidisciplinary center advancing diagnosis, treatment, and discovery for complex inflammatory conditions of the brain.
Visit website Longitudinal studyA long-running study connecting clinical experience, imaging, and biological data to better understand the course of multiple sclerosis.
Visit websiteDirect links to collaborating research teams.
Evidence in motion
A small, readable selection can show how research across the division moves from broad scientific questions to tools and evidence that matter in people’s lives.
Sergio E. Baranzini · Multiple Sclerosis · 2025
A multidisciplinary view of how genetics, the gut microbiome, and machine learning can work together to improve prediction and treatment in multiple sclerosis.
Ahmed Abdelhak et al. · JNNP · 2025
An international analysis examining whether blood levels of GFAP and neurofilament light can help predict disability worsening in progressive MS.
Alyssa Nylander et al. · Multiple Sclerosis · 2025
A study of whether simple, low-burden speech tasks can help measure fatigue—an important symptom that can be difficult to observe directly.