This article explores our preliminary analysis of a novel approach to chronic pain detection leveraging electroencephalographic (EEG) biomarkers. As part of the discovery stage of our effort, we developed BRAINGNNet: a graph model and a framework that integrates brain topology with EEG channel read and extracted features using data from publicly available studies and data sets.