The signals that drive many of the brain and body’s most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of “white matter” fibers in the brainstem, but imaging systems so far have been unable to finely resolve these crucial neural cables. That has left researchers and doctors with little capability to assess how they are affected by trauma or neurodegeneration. In a new study, a team of MIT, Harvard, and Massachusetts General Hospital researchers unveil AI-powered software capable of automatically segmenting eight distinct bundles in any diffusion MRI sequence.

“The brainstem is a region of the brain that is essentially not explored because it is tough to image,” said Olchanyi, a doctoral candidate in MIT’s Medical Engineering and Medical Physics Program. “People don’t really understand its makeup from an imaging perspective. We need to understand what the organization of the white matter is in humans and how this organization breaks down in certain disorders.”