Roland Henry

Roland Henry, PhD is a Professor of Neurology at the University of California, San Francisco (UCSF), affiliated with the UCSF Weill Institute for Neurosciences within the School of Medicine. His research focuses on advanced neuroimaging techniques to study neurological disorders, particularly multiple sclerosis.

Dr. Henry's research interests span multiple areas within neurology and medical imaging, with a primary focus on multiple sclerosis. He has made significant contributions to the development and application of MRI techniques for studying brain and spinal cord pathology in MS patients. His work has particularly emphasized quantitative imaging methods to assess disease progression, treatment response, and the relationship between imaging findings and clinical outcomes.

Dr. Henry's research has shown particular strength in the areas of spinal cord imaging, brain atrophy measurement, and the development of imaging biomarkers for multiple sclerosis. His work on the central vein sign as a diagnostic tool for MS has been influential in the field, contributing to consensus statements and clinical guidelines.

His scientific contributions have been recognized through awards including the UCSF 2012 Rachleff Distinguished Professor award. Dr. Henry has led numerous NIH-funded research projects, including R01 and R21 grants focused on multimodal connectivity for surgical mapping and image-guided determination of functional pathways in neurological oncology.

Dr. Henry has been actively involved in mentoring and has likely advised numerous graduate students and postdoctoral fellows throughout his career, though specific names are not provided in the available information. His collaborative approach is evident in the extensive list of co-authored publications across multiple institutions.

He has been instrumental in establishing multicenter collaborations, particularly through the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative, where his work has helped standardize imaging protocols and develop consensus statements on important imaging biomarkers in multiple sclerosis.