Breakthrough model utilizes movie-watching FMRI and eye-tracking to predict cognitive scores
In a recent article published in Volume 3 of the journal Psychoradiology, researchers from Northwestern Polytechnical University have unveiled the groundbreaking "Attention-CensNet" (A-CensNet), a fusion model that predicts cognitive scores by amalgamating movie-watching functional magnetic resonance imaging (mfMRI) and eye-tracking data. In this model, participants serve as nodes, mfMRI data are translated into node features, and eye-tracking details forge the connections between participants, creating graph edges. By employing ...











