iGENMap: Data-Efficient Precision Functional Mapping

Precision functional mapping can reveal cortical network organization that is specific to an individual rather than to a group average, but reliable individual estimates usually require a large amount of fMRI data from each person.

We show that individual functional eigenmodes closely follow each subject’s fine-scale cortical network topography, and that this correspondence can be learned across subjects to map individual networks from far less fMRI data than current state-of-the-art approaches require.

Accepted as a Late-Breaking Abstract at the Society for Neuroscience Annual Meeting 2026. More details, slides, and the poster will be shared closer to the meeting.