Assessing Region-Level EEG Contributions to Cognitive Workload Prediction

This paper introduces a region-level evaluation framework for EEG-based cognitive workload prediction, analyzing contributions from anatomically defined scalp regions. It conducts a large-scale analysis across four public datasets to quantify region importance using a model-agnostic, performance-based approach.