Dissociative experiences commonly occur in response to trauma, and while their presence strongly impacts treatment approaches, they remain poorly understood and the field lacks an objective way to measure them. Brain-based measures have the potential to serve as an objective measure of dissociation, but it remains unclear whether it is possible to estimate an individual person’s dissociative capacity with a measure of brain function. The authors used a novel machine-learning technique to test whether intrinsic functional brain network connectivity could estimate dissociative symptoms in women with histories of childhood abuse and current posttraumatic stress disorder. They were able to estimate dissociation from these brain-based measures, suggesting aberrant brain network connectivity is associated with dissociative symptomatology.