BrainCast: A Spatio-Temporal Forecasting Model for Whole-Brain fMRI Time Series Prediction

ArXi:2603.13361v1 Announce Type: cross Functional magnetic resonance imaging (fMRI) enables noninvasive investigation of brain function, while short clinical scan durations, arising from human and non-human factors, usually lead to reduced data quality and limited statistical power for neuroimaging research. In this paper, we propose BrainCast, a novel spatio-temporal forecasting framework specifically tailored for whole-brain fMRI time series forecasting, to extend informative fMRI time series without additional data acquisition.