Yurui Gao

The paper shows that white-matter BOLD signals mediate time-varying cortico-cortical functional connectivity, with temporal variability in WM signals correlating with dynamic GM-GM connectivity.

This paper introduces BrainVAE, a transformer-based variational autoencoder, to classify preclinical Alzheimer's disease using white matter BOLD signals and finds it outperforms other models when combining white and gray matter data.